News and Agenda Archive


Join one of the meetings and share your ideas for the improvement of social safety at TU Delft

As TU Delft, we are faced with the task of making the campus a more socially safe place. Following the Education Inspectorate's report, we are drawing up an improvement plan to provide everyone with a socially safe working and learning environment where we treat each other with respect.

To help us develop this plan, we are currently looking for ideas in a number of ways. We are interested in your views on what should change and how best to go about doing this. All staff, students and alumni are welcome to attend one or more of the sessions on 10, 15 and 16 April in the Aula’s auditorium.

The aim of the meetings is to gather ideas and engage in dialogue on the following questions: what needs to change to create a socially safer working and learning environment, and how should we change it? What steps do we need to take to achieve this? All the plans and ideas will be taken into consideration and taken into account when the improvement plan is drawn up.

The sessions will be led by external experts from Berenschot. The programme is the same for each session. First, there will be an opening plenary session. Then your plans and ideas will be collected using Mentimeter. Next, there will be time to discuss these plans and ideas in smaller groups. Finally, the meeting will be concluded in plenary.


​​​​​​1. Wednesday 10 April 10.00-12.00 (doors open 09.45) This meeting will be held entirely in English.

2. Monday 15 April 12.30-14.30 (doors open 12.15). This meeting will be entirely in Dutch.

3. Monday 15 April 16.00-18.00 (with the Supervisory Board; doors open 15.45). The Supervisory Board will be present at this meeting. This meeting will be held in English. The plenary sessions will be translated into Dutch. The language of the breakout groups will depend on the language of the group participants.

​​​​​​4. Tuesday 16 April 12.30 – 14.30 (with the Executive Board; doors open 12.15). The Executive Board will be present at this meeting. The meeting will be held in Dutch. The plenary sessions will be translated into English. The language of the breakout groups will depend on the language of the group participants.

All meetings will take place in the auditorium.

Suggestion Box
You will not be attending a meeting but would like to share your ideas with us? You can do so via the digital suggestion box.

Read more on Social Safety



Microchips in a connected world

Discover in this video how microelectronics is bridging connections worldwide while tackling the energy transition.

TU Delft - Microelectronics, Connected World (

At last, a woman’s name on the nameplate

When Merel Verhoef, an Electrical Engineering student, heard last year that yet another area in her Faculty was going to be named after a man, she felt as though she had been slapped in the face.

A list of all 21 floors with their countless labs and lecture halls did not make her any happier – they all bore the names of men. She thought that it should not come as any surprise that so few women study or work in electrical engineering. Surely the open days do not help attract women if they do not recognise themselves in that environment?

Verhoef expressed her frustrations to llke Ercan,  Assistant Professor in Electrical Engineering, who was on the point of claiming an as yet nameless space to set up her much desired Makerspace. This would be a space for extracurricular experiments and tryouts. Ercan says that it was perfect timing. “I was immediately able to do something about Merel’s frustrations.”

She came up with a plan to name a room in her building after a female scientist for the first time. The Computer Science building (building 28), also part of the faculty of EEMCS, already had a room named after Iranian mathematician Maryam Mirzakhani.

Read more; At last, a woman’s name on the nameplate - Delta (

EKL in the spotlight

The Delft University of Technology harbours two of the main cleanroom infrastructures of the Netherlands: The Kavli Nanolab (KNL) and The Else Kooi Laboratory (EKL). Both laboratories provide access to high-end, state-of-the-art process and inspection equipment for academic and industrial users.

The cleanroom infrastructure of the Delft University of Technology is a partner in NanoLabNL, which is the Dutch national facility for nanotechnology research. It offers the use of facilities and expertise to universities, research institutes, start-ups, and industry. The NanoLabNL facilities are an important link in the innovation process from basic idea to product. In this role NanoLabNL supports fundamental research, process and product development and small-scale production.

EKL is one of the biggest cleanrooms in The Netherlands with over 600 m2 of cleanroom class 100 (ISO 5) and 400 m2 of cleanroom class 10'000 (ISO 7). It is located in Building 36EWI Faculty, and allows full fabrication and characterisation of any active or passive nanostructure starting from a silicon wafer. The laboratory offers sub-micrometer resolution lithography, thin film deposition and etching, bulk and surface micromachining, packaging, and assembly of the final device. Moreover, polymer based, biocompatible and biodegradable devices can be fully fabricated and synthesized in EKL.

EKL is collaborating with many research groups such as BioelectronicsECTMEIPMEPVMDQuTechTerahertz Sensing. Moreover, EKL offers foundry and joint development services, allowing the collaboration with different companies in the many disparate fields. The EKL team can assist you in design and provide fabrication and characterization of your device. In Applications, you can find some of the of the devices that have been fully fabricated in the EKL and KN facilities.


Startup Innatera in the news

Innatera is a startup that originated in 2019 in the SPS group and has now grown to 65 employees. Recently they completed a neural network-based microcontroller, based on spiking neural networks. This enables highly power efficient processing (e.g. real-time image recognition) for Internet-of-Things applications.

The chip was demonstrated at the Consumer Electronics Show (CES) in Las Vegas.

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Alle-Jan van der Veen wins EURASIP Technical Achievement Award

Alle-Jan has been awarded the prestigious Technical Achievement Award of EURASIP for his “contributions to subspace-based array signal processing”.

The EURASIP Technical Achievement Award honors a person who, over a period of years, has made outstanding technical contributions to theory or practice in technical areas within the scope of the Society, as demonstrated by publications, patents, or recognized impact in this field.

EURASIP is the European Association for Signal Processing. The award will be presented at EUSIPCO'2024 in August in Lyon.

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Outstanding TU Delft score at ISSCC 2024

At this year’s International Solid-State Circuit Conference (ISSCC), the world’s top conference on IC design, the TU Delft will be contributing to a record number of papers.
In total, 13 papers will be presented in the following areas:

-       Sensors and precision analog circuits (Makinwa)

·       Ultrasound and biomedical circuits (Pertijs, Serdijn, Liu)

·       Power management (Du)

·       Cryogenic CMOS (Babaie, Sebastiano)

·       Class-D amplifiers (Fan)

·       RF amplifiers (de Vreede, Alavi)

Congratulations to all the authors and PIs for this great collective achievement.

Click here for full list of the contributed papers


Portrait of Medical Delta Professor Johan Frijns (appointed at EEMCS, Bioelectronics group)

Portrait of Medical Delta Professor Johan Frijns 

More than 800,000 people in the Netherlands are hard of hearing. They suffer so much from hearing loss that it limits their daily lives. Prof. Dr. ir. Johan Frijns treats people with hearing loss, conducts research on hearing implants, and gladly shares his knowledge about electrical stimulation of the nervous system. "We shouldn't want to reinvent everything in every little corner. What we learn in one place, we can also use in another."

Johan Frijns is a professor of Otology and Physics of Hearing in the Department of Otorhinolaryngology at LUMC. He heads the Center for Audiology and Hearing Implants Leiden (CAHIL) and the Cochlear Implant Rehabilitation Centre Leiden (CIRCLE). He was recently appointed as a Medical Delta professor with a position at the Faculty of Electrical Engineering, Mathematics, and Computer Science at TU Delft.

Read more: Portrait and video Johan Frijns: “When a deaf child suddenly hears and learns to talk, this also has a huge impact on the people around him.” | Medical Delta


Lunch Seminar Tom Coughlin, IEEE president

Tom Coughlin, IEEE president, will give a lunch seminar at the TU Delft.

12.30-12.45, walk in. Lecture hall D@ta, EEMCS
12.45-13.15, presentation by Ilke Ercan (EEE) and Tom Coughlin (IEEE)

Register HERE

New book with contribution of Geert Leus

Sparse Arrays for Radar, Sonar, and Communications

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Dr. Bahareh Abdi (EEE) awarded the TU Delft Open Education Stimulation Fund

Dr. Bahareh Abdi (EEE) was awarded with the TU Delft Open Education Stimulation Fund for her project “Enhancing Electrical Engineering Education: A Digital Twin and Interactive Manual Approach for Dynamic Hands-On Learning.” Dr. Abdi will receive €20k over one year period to develop interactive textbook equivalent of BSc EE lab manuals with added digital content to improve students’ learning experience.

In this project, Dr. Abdi collaborates with Dr. Seyedmahdi Izadkhast (EEE), Dr. İlke Ercan (EEE), and Prof. Dr. Ir. Alle-Jan van der Veen (SPS) from the Department of Microelectronics, and Dr. Serdar Asut from the Faculty of Architecture who has expertise on the subject. The departure point of the project is Integrated Project-3 in the BSc EE curriculum. The outcome of the project will inform the improvement of other integrated projects and lab courses. 

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Artikel AD tinnitus

Onze hersencellen werken als elektronische netwerken en daar kan ik veel mee”, aldus professor Wouter Serdijn van de Sectie Bio-elektronica van de TU Delft. Serdijn zoekt naar een oplossing voor tinnitus. © Thierry Schut

Source (paywall):

Read the full story here: Tinnitus.

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Thomas Michalica wins Best Bioengineering MSc Graduate of 2023

Ex-ECTM Master student Thomas Michalica was awarded for Best MSc Graduate by Delft Bioengineering Institute (BEI) with a prize of 1000 EUR. Thomas' graduation project titled "Two-photon polymerization-based 3D-multi-electrode arrays for electrical monitoring of neuronal cells" was conducted under supervision of Massimo Mastrangeli (ECTM) and Angelo Accardo (3mE/PME/MNE).

Congratulations (again), Thomas!

See also: Best Bioengineering MSc Graduate of the Year: Thomas Michalica! (

Mario Coutino wins best PhD thesis award

Mario Coutino has won the IEEE Signal Processing Society Best PhD Dissertation Award. Mario received his PhD in Apr 2021 with a dissertation titled "Advances in graph signal processing: Graph filtering and network identification" (promotor: Geert Leus (SPS)).


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New NWO-TTW project for Geethu and Justin (SPS)

Laser satellite communications is a promising technology to support worldwide access to telecommunications services. A major technological challenge is atmospheric turbulence impacting the propagation of the laser beams. Its effect can be mitigated by adaptive optics and geographic diversity. The DAILSCOM project aims to provide a map of the effective optical channel performance over Europe. This map is needed to design ground network technology and estimate communications service availability. Since our current understanding and ability to estimate the channel performance are limited, we will develop novel physics-informed machine learning algorithms to formulate the optical link performance map.

Project PIs are: Rudolf Saathof (AE), Justin Dauwels, Geethu Joseph, Sukanta Basu (CiTG)

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Justin Dauwels IEEE Signal Processing Magazine Area Editor

Justin Dauwels has been appointed Columns & Forums Area Editor for IEEE Signal Processing Magazine. Congratuations!

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Organ-on-chip: Creating a home for human cells outside of the body

Associate professor Massimo Mastrangeli is the embodiment of enthusiasm for scientific research. He specifically exudes passion for his own field, namely that of organs-on-chip. “What I would like people to know about this field of research? That it’s amazing!”, exclaims Massimo.

Read the full story: Organ-on-chip: Creating a home for human cells outside of the body

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GuoQi Zhang, section ECTM receives prestigious NAE fellow appointment

Four researchers (QuoQi Zhang, Arie van Deursen, Catholijn Jonker and Inald Lagendijk) from the Faculty of Electrical Engineering, Mathematics and Computer Science (EWI) have been named leading experts and are appointed as fellows by the Netherlands Academy of Engineering (NAE). A total of 62 fellows have been appointed, originating from the fields of technological sciences, applied research and innovation. The fellows focus on fostering an innovation climate that generates societal and economic value by providing engineering-based solutions to major societal issues while offering new business and export opportunities.

GuoQi Zhang is chair professor for the "Micro/Nanoelectronics System Integration and Reliability" at the EEMCS faculty, a member of Netherlands Academy of Engineering, and IEEE Fellow. His research interests cover multi-level heterogeneous system integration and packaging; multi-physics and multiscale modelling and optimization of micro/nanoelectronics; digital twin and designing for reliability; wide-bandgap semiconductors sensors and components; SSL technology; and their applications mainly in healthcare, energy and mobility.

Thomas Michalica wins the KWHM Young Talent graduation award for Mechanical Engineering and Materials Science

Thomas Michalica, who graduated cum laude earlier this year in the Biomedical Engineering Master at TU Delft, has been selected as the winner of the the Koninklijke Hollandsche Maatschappij der Wetenschappen (KHMW) Young Talent graduation award (€ 5000) in the field of Mechanical Engineering and Materials Science for his Master thesis titled "Two-photon polymerization-based 3D-multi-electrode arrays for electrical monitoring of neuronal cells". Thomas developed his work as part of the collaboration between 3mE/PME/MNE (Dr. Accardo) and EWI/ME/ECTM groups (Dr. Mastrangeli) to develop three-dimensional scaffolds supporting arrays of microelectrodes to monitor in-vitro neuronal cell cultures.

The award and diploma will be presented during a festive ceremony in the Hodshon House, Spaarne 17, Haarlem, on November 27, 2023.

Congratulations, Thomas!

Best Paper Award at the IEEE Sensors Conference 2023 in Vienna

The MS3 group  has received the Best Paper Award at the IEEE Sensors Conference 2023 in Vienna. The paper is entitled “Radar-based Continuous Human Activity Recognition with Multi-Label Classification” and is a collaboration between our MS3 group in TU Delft and the Institute of Microwaves and Photonics of the Friedrich-Alexander University in Erlangen-Nurnberg.

This work comes from the visit of Dr Ingrid Ullmann to the MS3 group a few months ago, where an interesting collaboration has started on the topics of radar sensing for healthcare applications and indoor monitoring. Special thanks to Ingrid for representing the team at the conference and we look forward to new outcomes from this exciting collaboration.

Andrew Webb wins Huibregtsen Award for Affordable MRI Scanners

High field MRI expert, Professor Andrew Webb of the Microelectronics department, and his Ugandan collaborator, Johnes Obungoloch, have been awarded the 2023 Huibregtsen Prize. Their notable achievement is the creation of an affordable, portable, and long-lasting MRI device tailored for brain imaging in developing nations.

Webb's team introduced a 'low-field MRI scanner' that boasts ease of transportation, maintenance, and ecological sustainability. Ever better, Webb’s new device is priced at just 1% of the typical MRI system. The brain scans generated by their MRI are instrumental in diagnosing curable diseases in underdeveloped regions, with the first model already operational in Uganda.

Highlighting its distinctive nature, the jury commended the initiative for merging top-tier technology development with suitability for developing regions. They also lauded the emphasis on knowledge dissemination and instruction.

The Huibregtsen Prize, founded in 2005 by The Evening of Science & Society Foundation board, is an annual award recognizing pioneering research projects with profound societal implications.
The accolade was handed over by the departing Minister of Education, Culture, and Science, Robbert Dijkgraaf, on 9 October at Pieterskerk, Leiden. Professor Webb was granted a €25,000 check and a bronze artwork from Wil van der Laan. Meanwhile, Obungoloch tuned into the event via a live stream from Uganda. In addition to the monetary prize and artwork, the duo also earned a workshop at the Lorentz Center in Leiden.


Model-Driven Decisions Lab initiated

On 28 September, a Memorandum of Understanding was signed between the TU Delft and the national police, to collaborate on research around safety and security, and forensic research. Part of this initiative will be a new research lab, the "Model-Driven Decisions Lab". This lab will start up with 5 PhD positions. Scientific director is Justin Dauwels (SPS).

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Open technology platforms for organ-on-chip: Moore4Medical reaches a successful conclusion

The concept of Moore4Medical's Smart Multi-Well Plate

After the successful final review in Maastricht (NL) on September 28, 2023, the 3-year KDT-JU European project Moore4Medical has reached its very successful conclusion. Under the expert leadership of Sieger Swaving, Ronald Dekker and Erik van den Zeijden (Philips), the 68 consortium partners of Moore4Medical have convincingly showed how open technology platforms can be beneficially deployed to advance multiple biomedical domains, including implantable devices, ultrasound monitoring, drug attrition, surgical devices, and not least organ-on-chip.

With the contribution of 24 European partners – including TU Delft (WP leader), Micronit, BI/OND, Besi, TNO/Holst Centre, TU Eindhoven and Philips from the Netherlands – the second work package of Moore4Medical led by Massimo Mastrangeli (ECTM) specifically developed three open technology platforms for organs-on-chip: the Smart Multi-Well Plate (SMWP), the High-Definition electro-Physiology Plate (HD e-Phys) and the Smart (multi-well plate) Lid. The platforms were developed from design and architecture through implementation, fabrication and assembly, to biological validation in relevant settings. They embody recommendations from the European organ-on-chip roadmap for ease of use, standardization and industrially-scalable manufacturing. The SMWP in particular captures the power of organ-on-chip devices under the familiar aspect of a multi-well plate (see illustration). It combines end user-defined configurability of OoC devices with fluidic autonomy afforded by onboard piezoelectric micropumps and compatibility with established laboratory workflows.

Moore4Medical has also prepared the ground for follow-up projects that can capitalize on its many achievements and insight, such as the NEXTGEN HIGH-TECH program for Biomedical technology in the Netherlands and the KDT-JU UNLOOC European project (under evaluation).


The 2022 Marie Skłodowska-Curie Postdoctoral Fellowship Grant awarded to dr. Karen Dowling

Dr. Karen Dowling’s MSCA-PF was granted for her project titled “Precise X-Y-Z Readout with a micro-Magnetometer Inverted-pyramid Design (PYRAMID), ” in collaboration with Prof. dr. Kofi Mankinwa. Chip-scale magnetometers come in several flavors, the most common being silicon Hall-effect plates that integrate easily with electronics. However, these devices only detect 1D fields, are asymmetric between X-Y and Z directions, and cannot work in extreme temperatures. Karen’s goal is to leverage micromachining  to realize magnetometers with a unique "3D" microstructure that reduces the footprint and improves accuracy. This project will involve the development of the inverted pyramid device through crystallographic etching of <100> CMOS silicon to expose the <111> crystal plane at 54.7°. This enables higher angular accuracy and avoids fabrication misalignment or packaging errors. In parallel, Kofi’s group at TU Delft will develop the CMOS integrated circuit for front-end amplification and switching scheme of the sensor to detect all three components of the field from a singular device. The final year of the project will focus on combining the sensor together with the circuit in an integrated system. This enables new products for 3D navigation in autonomous microsystems such as biomedical implants, power monitoring, and nanosatellites.


EU project TeraGreen and targets Tbps energy-efficient wireless links for future 6G networks

Nuria Llombart Juan (TSz group) got a 4-year EU project, called ‘TeraGreen and targets Tbps energy-efficient wireless links for future 6G networks’ (5 mln. Euro in total) granted. The TUD is the administrative and scientific coordinator of the project. The other partners are Ericsson, Infineon, Chalmers, Technische Universität Dresden and Cosmote.
For this purpose, TeraGreen will develop ultra wideband and low-power consumption BiCMOS transmitters and receivers integrated with lens array architectures at 300GHz, combined with baseband algorithms suitable for energy-efficient analog-to-digital conversion.  

Clementine Boutry receives ERC starting grant

The European Research Council (ERC) has announced the ERC Starting Grants for young researchers. Five of them are scientists from TU Delft, and one of them is Clémentine Boutry from our department (ECTM group). This European grant of €1.5 million for a five-year research programme is intended to enable individual scientists to build their own teams and conduct groundbreaking research.

Nerve-Repair2.0 - Biodegradable MEMS implants for nerve repair

Biodegradable technologies offer many advantages for the development of future medical implants, particularly in applications where they are only needed temporarily. Fabricating such devices from biodegradable materials avoids the need for a second surgery to remove the implants after their period of use.

Clementine Boutry has received an ERC Starting Grant for her project Nerve-Repair2.0, in which her team will develop biodegradable MEMS (Micro-Electro-Mechanical Systems) implants for nerve repair, a new class of microsystems made entirely of biodegradable materials, including sensors, actuators (mechanisms that cause movement), and electrical circuits.

Each year, an estimated 300,000 cases of trauma-related peripheral nerve lesions occur in Europe. These injuries result in partial or total loss of motor, sensory and autonomic functions. For large injuries, less than 25% of patients recover proper motor function and less than 3% regain sensation. Accelerating nerve regrowth is a key factor, as the disconnected part of the nerve dies quickly after the injury. Therefore, it is truly a race against time. Dr. Boutry’s research will focus on a new therapeutic approach based on her previous Marie Curie research and on recent clinical findings: the mechanical stimulation of peripheral nerves to accelerate their regrowth. The Nerve-Repair2.0 project will focus on two different medical implants: 1) a first implant providing wireless cyclic mechanical stimulation to the severed nerve, 2) a second implant with an implantable biodegradable MEMS micropump applying constant traction, with the corresponding biodegradable sensors.

There are high expectations of clinical therapies for damaged nerves. The development of new functional biodegradable materials (with tailored magnetic, electrical, mechanical, and chemical properties), and customized fabrication processes in clean rooms will enable the realization of fully biodegradable microsystems, while retaining the established advantages of MEMS (small size, high precision, fast response time, low energy consumption, reliable large-scale production). Beyond neurosciences, Nerve-Repair2.0 will pave the way for other medical applications including cardiac diseases, with the objective to address crucial societal challenges that could not be solved otherwise.

Jointly-organized conference, University Bulgaria en TU Delft

From September 13-15 2023, the XXXII International Conference on Electronics will be organised in Bulgaria, Sozopol. Prof. Gerard Meijer (TUD, EI group)) is one of the honorary co-chairs, Assoc. Prof. Stoyan Nihtianov (TUD, group) is one of the honorary co-chairs.

For more information; 
2023 XXXII International Scientific Conference "Electronics ET2023" (

Charlotte Frenkel (EI group) receives Veni grant

Brain-inspired smart devices that can continuously learn from their environment

While smart devices outline strong promises ranging from productivity gains in industry to smart cities and health-monitoring wearables, there is still one major hurdle hindering their successful deployment: long-term robustness. Indeed, once deployed, smart devices are currently unable to autonomously adapt to changes in their environments, new user features, and evolving task requirements. This implies either electronic waste through device replacement, or increased battery drain and maintenance cost for frequent over-the-air device updates. This project will overcome this hurdle by merging the latest neuroscience and machine-learning research in continual learning to endow smart devices with low-power long-term autonomous adaptation.

Six promising young EEMCS researchers receive Veni grant (

Second place Best Student Paper Award at IMS-2023 for Lennart de Jong

At the 2023 International Microwave Symposium (IMS), former EWI/QuTech student Lennart de Jong won second place for the Best Student Paper Award. His paper is the main result of Lennart’s MSc graduation project, which was supported in part by Intel Corporation and in part by the Netherlands Organization for Scientific Research under a Veni Program.

This paper describes a clock data recovery (CDR) architecture demonstrating a low recovered clock jitter and high jitter tolerance thanks to incorporating a complementary charge sampling phase detector and clock alignment loop. As the first cryo-CMOS CDR, it enables the required data communication between classical and quantum processors in future large-scale quantum computers. The other co-authors are Joachim I. Bas, Jiang Gong, Fabio Sebastiano, and Masoud Babaie. The paper can be found here.


About the conference:

Since 1952, the IEEE International Microwave Symposium (IMS) has been the world’s foremost conference for technologists involved in all aspects of microwave theory and practice, encompassing everything from advances in CAD, modeling, EM simulation, to systems, including the latest RFIC, MIC, MEMS, and filter technologies. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events, with more than 3000 yearly attendees.

Our Paper Awarded at the IEEE MetroAeroSpace 2023

We are proud to announce that our paper, "Experimental Evaluation of Radar Waveforms for Spectral Coexistence Using the PARSAX Radar", the result of our research collaboration with the team from the University of Naples “Federico II”, has been recognized as the most outstanding paper of the Special Session on Metrology for Radar Systems presented at IEEE MetroAeroSpace 2023 (the award has been sponsored by MDPI Remote Sensing Journal). The paper was acknowledged for its experimental demonstration of radar operability in spectrally dense environments through innovative waveform design.

The award recognition will soon be posted on the official conference website.

IEEE SPS Best Thesis Award for Geethu Joseph

Geethu Joseph received the IEEE Signal Processing Society Best PhD Thesis Award at ICASSP'23. Annually, there are 2 such awards. The 2nd award went to Elvin Isufi, former PhD student of Geert Leus. Congratulations to both!

These awards were installed 3 years ago; until now, there have been 3 recipients.

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Best ESSCIRC Paper Award for EI student

At the 2023 European Solid-State Circuits Conference (ESSCIRC), former EI student Shubham Mehrotra will receive the 2022 Best ESSCIRC Paper Award for the paper entitled “A 590 µW, 106.6 dB SNDR, 24 kHz BW Continuous-Time Zoom ADC with a Noise-Shaping 4-Bit SAR ADC”. The paper describes the design of a high-performance analog-to-digital converter for audio applications. This was the main result of his M.Sc. graduation project, which was done in collaboration with NXP Semiconductors. The other co-authors are E. Eland, S. Karmakar, A. Liu, B. Gonen, M. Bolatkale, R. van Veldhoven and K. Makinwa. The paper can be found at

Opening ceremony of the EmC XG Labs

Barbara McCune, wife of late Earl McCune, and Lucas van Vliet, Dean of the EEMCS Faculty, inaugurated the Earl McCune XG Labs on April 17th, 2023. Many people attended the ceremony, both from the Microelectronics department as well as external partners such as TNO, Nokia, Rohde&Schwarz, BSW...

The EmC XG Labs receives its name from Prof. Earl McCune (EmC), who enabled the neXt Generation (XG) communication and sensing efforts at TU Delft thanks to his great enthusiasm, his vast amount of knowledge and his warm personality.

The EmC XG Labs consist of a cluster of state-of-the-art microwave laboratories, covering the frequency spectrum from 30 kHz to 500 GHz, able to perform measurements on packaged, on-wafer and over-the-air devices and systems, providing an excellent frame for students, scholars and faculty members to carry out their research.

TU Delta: Millions for TU Delft-led radar project

The TU Delft-led PHARA consortium will receive millions of euros in funding from NWO. The researchers are developing a new type of radar that can observe the entire sky in a few seconds, to study how particles grow in clouds and rainfall, and to observe large movements of weather fronts. The transportable radar should contribute to climate and atmospheric research, more accurate weather forecasts, and further innovations in radar technology.

NWO is putting a total of EUR 22.7 million into seven projects in which scientists from all over the Netherlands are developing high-quality research equipment, data collection, and software. The contribution ranges from 2.3 to 4.7 million euros per project.

With the money, the research funder wants to encourage scientists to work together to keep the Netherlands‘ scientific infrastructure up to date. According to NWO president Marcel Levi, the seven awarded projects enable new research that has great added value for society. As recently as February, NWO together with the Ministry of Education, Culture and Science awarded 140 million euros from the 'national roadmap’ for exceptionally large research equipment and databases. (HOP, HC)

Additional information:

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SAFE/ProRISC conference 2023 in Delft

On 10-11 July 2023 we have the SAFE/ProRISC conference in Delft. This is an annual conference rotating around the TU's in The Netherlands.

SAFE is dedicated to devices and technology, and ProRISC to circuits and systems. You can find more information on the website:

For PhD students, this is a great opportunity to meet colleagues from the other TU's, and also have fun. We only require an abstract and poster, so there is no problem with prior publication if you want to present the work at an international conference.

CMOS Temperature Sensor highlighted in Nature Electronics

A CMOS temperature sensor developed by Nandor Toth and colleagues at the Electronic Instrumentation lab was featured as a Research Highlight in the March issue of Nature Electronics. As described in a paper published at the top-ranked International Solid-State Circuits Conference (ISSCC), the sensor is based on the Continuous-Time readout of BJTs in the current domain, as well as a novel resistor-mismatch calibration scheme. As a result of these techniques, the sensor simultaneously achieves high energy-efficiency and high accuracy (less than 0.1°C error) over a wide temperature range (-55°C to 125°C). These features make it well suited for use in applications ranging from automotive to biomedical.

Nandor Toth is a PhD student at the Electronic Instrumentation Laboratory, led by Professor Kofi Makinwa. His research focuses are the high-precision readout of both BJT- and Thermal-Diffusivity based temperature sensors. The co-authors, Sining Pan, Zhong Tang, and Teruki Someya, are previous Postdocs at the same Laboratory, currently working in China and Japan.

Assistant professor Raj Rajan appointed secretary of "De Nederlandse Vereniging voor Ruimtevaart" (Netherlands Space Society)

NVR has approximately 1200 members. They include aerospace professionals, students, and people with a personal interest. As of today, the association has been around for over 70 years. Yet, it remains in touch with the newest Dutch and international developments surrounding space and astronautics. The NVR aims to be an association for all ages, and the network for anyone excited by modern aerospace and space travel.

Raj Rajan has joined the Board of NVR as Secretary, starting Feb 2023.

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Dr. Chang Gao Honored as an MIT Innovator Under 35 Europe 2023

We are delighted to share that Dr. Chang Gao, a Tenure-Track Assistant Professor at the Department of Microelectronics, has been distinguished as an MIT Innovator Under 35. This eminent acknowledgment highlights Gao's extraordinary accomplishments in creating energy-conserving artificial intelligence (AI) computation that retains accuracy. His inventive work has empowered wearable and portable devices and enduring robotic prosthesis control to offer round-the-clock monitoring for better health results and an improved patient experience.

Dr. Gao's methodology strays from conventional neural network models, which may be biologically precise but also expensive and less efficient for real-world applications. Instead, he employs neuromorphic principles, sparse neuron firing, and connectivity to reshape deep recurrent neural networks into more budget-friendly versions. His research effectively connects artificial neural networks with spiking neural networks, speeding up computation while preserving competitive accuracy for real-world tasks.

Dr. Gao's exceptional work has garnered him numerous awards, such as the Best Paper Award at the 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, co-recipient of the 2020 Misha Mahowald Prize for Neuromorphic Engineering; the 2022 Mahowald Early Career Award for Neuromorphic Engineering; and the 2022 Marie-Curie Postdoctoral Fellowship for his project on portable radar systems driven by energy-conscious AI accelerators.

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Graphene electrodes developed by ME researchers on Neurotech reports

The article "Multilayer CVD graphene electrodes using a transfer-free process for the next generation of optically transparent and MRI-compatible neural interfaces", published in Microsystems & Nanoengineering (Nature), is featured in the February 2023 issue of Neurotech Reports. 

The electrodes in the study were fabricated at the Else Kooi Lab and are the product of a longstanding collaboration between the groups of Sten Vollebregt and Vasso Giagka. The article was selected to be featured on the journal's webpage in October 2022.

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Webinar with Dr. Vasso Giagka "Translational Research for Neural Implants"

This webinar will be hosted live and available on-demand

Monday, May 8, 2023, at 17:00

Implantable neurotechnologies already treat various disorders, including epilepsy, Parkinson’s disease, depression, and pain. As researchers develop new materials and technologies, the therapeutic potential of neural implants for other diseases and conditions grows. 

In this webinar brought to you by The Scientist, John Donoghue and Vasiliki (Vasso) Giagka will present their latest findings on applying clinical and technical developments to create new implantable devices for treating neurological disorders. 

Topics to be covered 

  • Successes, challenges, and opportunities for brain computer interfaces (BCIs)
    • Accomplishments in human implantable BCIs over the last decades
    • Current capabilities for movement and communication
    • Challenges for clinically useful BCIs as medical devices
  • Miniaturized and selective active neural interfaces
    • Active neural implants for bioelectronic medicine
    • Miniaturization of active neural implants
    • Multimodal neural interfaces

Register through the link

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Andrea Neto wins Best Paper Award at EuCAP 2023

Andrea Neto was awarded with the Best Electromagnetics Award at the European Conference on Antennas and Propagation 2023, with the Paper:

“A Classical Electromagnetic Model for Thermal Emission from Ohmic Materials”, Andrea Neto (Delft University of Technology, The Netherlands). 

The conference hosted 1700 attendees and included 1100 papers.

Second Sensor Interfaces Meeting (SIM) on May 8-9, 2023, at ASML

After the very successful inaugural SIM’22 we are thrilled to present to you again the opportunity to listen to and interact with top experts in the field of sensor interfaces. This time you shall have one more opportunity: to discuss the achievement of your colleagues. Next to the keynote talks, panel sessions and exhibitors, SIM’23 will host poster sessions from both academia and industry. SIM’23 is sponsored by the IEEE Sensors Council and will take place on 8 and 9 May 2023, in the same modern venue used by SIM’22, generously offered by the hi-tech company ASML in Veldhoven, the Netherlands.

Please, reserve the dates 8 and 9 May 2023 in your calendar.

Maybe you are already asking yourself why a meeting on sensors is hosted for a second time in industrial environment, by a machine builder like ASML? This is a great question, the answer of which you will find if you join us and take a closer look at one of the leading hi-tech companies in Europe and the world, and interact with your colleagues from ASML attending SIM’23.

Yannick Hopf receives SSCS Predoctoral Achievement Award

At the 2023 International Solid-State Circuit Conference (ISSCC), Yannick Hopf was awarded a Predoctoral Achievement Award from the IEEE Solid-State Circuit Society (SSCS). ISSCC is the leading conference for solid-state circuits and took place on 19 – 23 February. The Predoctoral Achievement Award is the highest honor the society bestows upon student members and awarded to promising graduate students based on their academic record.

In the course of his PhD, Yannick has worked on ASICs for 3D ultrasound imaging of the heart. Two prototypes have been successfully developed and evaluated for the use in intra-cardiac catheters. The work has led to innovations in several circuit blocks as well as on the system level. The final design is the first to combine high-voltage transmitters, analog front-ends, micro-beamforming, digitization, datalinks and transducers, enabling high-frame-rate 3D imaging.

Yannick works at the Smart Ultrasound group at the Electronic Instrumentation Laboratory, under supervision of Dr. Ir. Michiel Pertijs, in close collaboration with the Acoustical Wavefield Imaging group at the Faculty of Applied Sciences, and the Biomedical Engineering group at Erasmus MC. Yannick's work is part of the 3D-ICE project.

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IEEE SPS Student Scholarship Program

The IEEE Signal Processing Society (SPS) awards scholarships of up to a total of US$7,000 for up to three years of consecutive support to students who have expressed interest and commitment to pursuing signal processing education and real-world career experiences.

Students and graduate students from all 10 IEEE Regions are encouraged to apply!

This is not a full scholarship but rather a supplementary fund in order to support the signal processing field.  Apply before 30 June 2023.

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Prof. Kofi Makinwa top contributor ' chip olympics', ISSCC

At the 70th anniversary of the International Solid-State Circuits Conference (ISSCC), often known as the “chip Olympics”, Prof. Kofi Makinwa is recognized as its top contributor. Since 2002, he has had a total of 77 papers accepted, and this year, he and his students contributed 8 papers – the best result ever for the TU Delft.

About ISCC

The International Solid-State Circuits Conference is the foremost global forum for presentation of advances in solid-state circuits and systems-on-a-chip. The Conference offers a unique opportunity for engineers working at the cutting edge of IC design and application to maintain technical currency, and to network with leading experts.

Squeaking, humming, buzzing. The discomfort of tinnitus

A few years ago, the Bioelectronics group (Faculty of Electrical Engineering, Mathematics and Computer Science) joined an international project on tinnitus called Tinnitus House. Delta phoned TU Delft principal investigator Professor Wouter Serdijn to hear about the progress.

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Sensors and CMOS Interface Electronics (SCIE) Course

Would you like to learn about smart sensors and interface circuits? Register for our course “Sensors and CMOS Interface Electronics”, co-organized by TU Delft and MEAD Education. See: Sensors and CMOS Interface Electronics

The course will take place online, on 8 days between March 27 and April 6, with two lectures per day timed conveniently for participation from anywhere on the globe.

Topics include smart-sensor design, calibration techniques, references, offset-cancellation, analog-to-digital conversion, instrumentation amplifiers and energy harvesting. Moreover, the course features lectures by experts in the field dedicated to smart inertial sensors, magnetic sensors, temperature sensors, image sensors, ultrasonic sensors, capacitive sensors, and implantable medical devices.

MSc Market

Dear MSc Students,

We hope that you have enjoyed your first semester in the Microelectronics Track. But time goes fast when you are having fun, and before you know it you will have to choose a thesis topic!

To help you choose, on February 13th the Electronic Instrumentation Lab will be organizing an MSc Market with pizza and drinks! Our staff will be present to discuss a number of available master thesis projects, as well as a brand new scholarship opportunity!

You will be able to meet with EI staff and discover projects that match your interests.

Our team of 10 PI’s have activities ranging from analog integrated circuits, power management, neuromorphic computing, and all the way to microfabrication of novel sensors. To give you an idea about the possibilities, an overview of Master thesis topics from the 2021-2022 academic year can be found online

For detailed questions on your study program please contact dr. Kofi Makinwa.

If you want to join the MSc Market, please send an email to

We are looking forward to meeting you on February 13th from 16:00-18:00 in the social room on the 15th floor.

Sincerely yours,

The Staff of Electronic Instrumentation


Kick-off AGRARSENSE project

A new project takes agricultural and forestry related productivity to the next level. The consortium, which includes TUDelft, will develop European state-of-the-art technologies in electronic components and systems for future needs, building European resilience in critical sectors and strongly contribute to sustainability targets and climate change mitigation.

Adequate food and its security is a global challenge, impacted by rapidly compounding effects of climate change, supply chains, human labour shortage and political and military aggression to name a few. We need transparent and improved productivity of agriculture and forestry and easy access to state-of-the-art technological innovation and automation. Also, more sustainable fertilizers and irrigation use is additionally key to saving the climate. Hence, European resilience calls for efficient technological solutions ranging from hardware to holistic data management.

Focus on food security, improved productivity of agriculture and forestry

The AGRARSENSE project, launched in January 2023, responds to these needs by developing technologies for seven different use cases that represent seven different angles on today’s European agriculture and forestry: Greenhouses, vertical farming, precision viticulture, agriculture robotics, forestry machinery and optimal soil management and fertilization as well as agriculture related water management. The electronics components and systems related technology R&D includes e.g., plant, soil, and water sensors and related integration, as well as software, connectivity, and data management solutions. Safety, security, and reliability R&D as well as autonomous movement and robotics platforms pave the way to full commercial utilization of the project outcomes.

AGRARSENSE brings together a total of 52 partners from 15 EU countries

Within the Dutch-led Greenhouse use case and with the other European partners, the TUDelft will focus on two technology development activities. One is the development of a 2D material-based VOC sensor that aims at sniffing out plant diseases to enable better prediction of crop health. This research, led by Sten Vollebregt, will focus both on the development of the sensor platform and the packaging of the sensor to result in a reliable demonstrator. The second activity, led by Qinwen Fan, will focus on developing power-efficient electronic drivers that will be used in, among others, greenhouse robotics.

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Chang Gao receives the Mahowald Early Career Award for Neuromorphic Engineering

The MECA jury has awarded the 2022 Mahowald Early Career Award to Chang Gao (Assistant Professor in ELCA) for the project "Accelerating Recurrent Neural Networks with Neuromorphic Principles." The project introduces efficient computing using the neuromorphic principles of spatial and temporal sparsity, leading to an energy-efficient accelerator for edge RNN computing. Gao's accomplishments have the potential to revolutionize applications in healthcare, wearables, and intelligent biomedical implants.

The Mahowald Early Career Award (MECA) recognizes an exceptionally talented student, as Misha Mahowald was. The Award is made for an innovative project that addresses a significant problem in neuromorphic engineering or related problems in neuroscience and neural computation. In their submission, candidates must make a convincing case for why their project fulfills this criterion.

Gao developed this work during his Ph.D. with the Sensors Group at the Institute of Neuroinformatics, University of Zurich and ETH Zurich. He is now a tenure-track assistant professor at TU Delft, where he has started a lab entitled "Efficient circuits & systems for Machine Intelligence" (EMI). Gao's Google scholar profile provides links to his work.


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CAS becomes SPS

The Circuits and Systems (CAS) group was formed over 20 years ago out of a merger of the Electronic Techiques and the Network Theory group. The resulting group had a focus on system theory and digital VLSI design, in particular design and verification tools.

Over these years, the signal processing part of the group has grown, to a point where now it is time to change our name. Starting from 1 January 2023, the group is called Signal Processing Systems (SPS). Happy New Year!

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NWO OTP Award SMARTER: Strategic Monitoring of Atmospheric Threats using Enhanced Radar

TU Delft researchers dr. Francesco Fioranelli (ME-MS3) and dr. Marc Schleiss (CITG-GRS) receive NWO OTP funding for a four year research on strategic monitoring of atmospheric threats.
Atmospheric threats such as heavy rain and hail, are responsible for millions of damages in the Netherlands every year. Weather radars are essential tools to study the atmosphere, monitor threats, and issue early warnings for high impact events. The frequency of a radar and its configuration determine what type of weather phenomena can be measured, at which resolution and accuracy. To maximize coverage while simultaneously gathering lots of details about the small-scale structure and dynamics of local rain/hail events, different types of radars can be combined into larger networks. The crucial piece that is missing is a ‘central control unit’ for coordinating the efforts of each radar in the network.

In the project SMARTER Francesco and Marc with their teams will develop a new AI-based control unit for maximizing the collaboration between individual radars in a network and improve the detection/prediction of localized, rapidly developing atmospheric threats while keeping the large-scale overview of the situation. For a first proof of concept, the focus will be on detecting heavy rain and hail in the Greater Rotterdam area, which is of major interest for the horticultural industry and the Dutch economy in general. However, the novel adaptation and decision-making tool will be sufficiently general to be transferable to other networks outside the Netherlands and other targets such as insects, birds and aircrafts.

This project is executed in collaboration with the following partners: Glastuinbouw Nederland, Achmea Agro, KNMI, SkyEcho, Leonardo, RPG and HKV.

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Nature paper for Gerard Janssen

GPS signals are not available everywhere. Especially in urban environments, the satellites may be blocked or the signals experience multipath, leading to timing errors and inaccurate positions in areas where accuracy matters most.

In the SuperGPS project of Gerard Janssen e.a., it is shown how relatively inaccurate wireless transceivers can be networked; the use of wideband signals and carrier phase recovery techniques results in a localization accuracy at decimeter-scale or better; two orders of magnitude better than GPS in certain situations. The perspective is that such transceivers can be embedded in 4G/5G mobile communication networks (the employed protocols are compatible), such that it is relatively inexpensive to roll out this solution.

In the Nov issue of Nature, the project partners describe experimental results acquired on a testbed at The Green Village at TU Delft. An associated article provides an introduction and a perspective. The topic was also covered by IEEE Spectrum.

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Best Student Paper Award at 2022 IEEE (ICECS) for Xinling Yue (EI group)

This paper "A 2-Mode Reconfigurable SSHI Rectifier with 3.2X Lower Cold-Start Requirement for Piezoelectric Energy Harvesting", by Xinling Yue and Sijun Du, proposes a 2-mode reconfigurable rectifier with low input open circuit (VOC) for piezoelectric energy harvesting. The rectifier works as a voltage multiplier in cold state, while switches to synchronous switch harvesting on inductor (SSHI) rectifier combined with a full bridge rectifier after the cold state ends, which lowers the requirement for the start-up voltage by 3.2X. This enables the energy harvester start harvesting energy at much lower excitation levels.

2022 4TU.NIRICT Community Day, November 14

Identified are 3 themes around which we would like to bring NIRICT researchers together to discuss and to explore per theme the opportunities for interdisciplinary collaboration. The themes are related to the societal challenges we are currently facing and require interdisciplinary effort in order to be addressed effectively. We believe that productive discussions during the event could be instrumental in forming new research lines, but also project consortia around various national R&D investment programs addressing the knowledge and innovation agenda’s (KIAs) of the Netherlands (

Themes of the day:
• Health and ICT People live longer, more healthcare is needed. Work pressure in healthcare is rapidly increasing. More data is collected by smart devices. How can the ICT community contribute solutions to keep our society healthy?
• Energy and ICT The current explosion of the energy prices shows that we are facing an unstable situation with respect to energy production and consumption. We produce more solar energy on one hand and consume more energy due to air conditioners and electric cars. We need smart solutions both in production and consumption. Moreover, due to its significant share in energy consumption, ICT systems from the end user devices to power-hungry data centers need to become more energy efficient.
• Agriculture and ICT We just had another summer with extreme heat waves and droughts. The climate changes we are facing have tremendous consequences for agriculture. The population is growing and the pressure on nature is increasing. What smart solutions do we see to deal with the challenges to keep our planet healthy and at the same time to keep the food production in line with the population growth?
The Community Day starts at 12:30hrs with a walk-in lunch. At 13:30hrs the official part will start with a number of short presentations, followed by several parallel sessions regarding the three themes of the day. You can indicate your preference on the registration form. Afterwards there will be a networking drink from 17:00-18:00hrs.

It would be great to welcome many of you on November 14th, because together we strengthen the ICT community of The Netherlands, so join us for the 4TU.NIRICT Community Day 2022, November 14, in Van der Valk Hotel Utrecht and register here by November 6, 2022.
Your data will only be used for registration and will be discarded within one week after the 4TU.NIRICT Community Day. If you have any questions, don’t hesitate to contact us:

Sten Vollebregt wins the 2022 Micro and Nanoengineering Young Investigator Award and Lectureship

Honoring and Promoting a Young researcher active in the fields of Nanofabrication and Nanotechnology for Life Sciences, Physics, Chemistry and Environmental Sciences.

Micro and Nano Engineering (MNE) is an open access, multidisciplinary journal which crosses boundaries from nano to micro to bio, and from science to technologies. The journal focuses on micro-/nano engineering, fabrication and integration of functional nanostructures and surfaces towards intelligent nanomanufacturing; devices and bio-microsystems for medicine, life sciences, chemistry, environmental sciences, and agro-food; and devices and microsystems for physical applications. 

After detailed evaluation of the high level of achievements of all candidates, the committee decided to present the award to: Dr. Sten Vollebregt from Delft University of Technology, Delft, The Netherlands

for outstanding contributions to reproducible wafer-scale microfabrication with carbon-based materials”.

The Lectureship was presented at MNE2022 Conference at the 23rd pf September 2022 in Leuven, Belgium (

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First Prize in Young Scientists Contest at the 2022 International Radar Symposium in Gdansk, Poland

The MS3 group is glad to inform you that during the 10th MICROWAVE & RADAR WEEK in Gdansk, Poland our former MSc student Detmer Bosma won the First Prize in the Young Scientists Contest at the 2022 International Radar Symposium with the article "Polarimetric Signatures on Moving Automotive Vehicles Based on the H/A/α-Decomposition" and an excellent presentation about the main results of his MSc thesis project, which were done under the supervision of dr. O. Krasnov and prof. A. Yarovoy, and successfully defended in November 2021 !!!

Congratulations, Detmer!

Sounds good: treating depression with ultrasound

Physicians are desperate to find new and effective treatment options for chronic pain and depression. Tiago Costa is developing a novel targeted neuro-modulation treatment for depression, using focused ultrasound. His goal is to treat only brain areas that need attention, leaving other parts of the brain undisturbed.

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Vasso Giagka on the Neural Implant Podcast

Neural Implant podcast - the people behind Brain-Machine Interface revolutions: Vasiliki Giagka on Neural Interface Packaging and why it's the most important

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Interview Jochem Baselmans

Link to the interview

Researchers have succeeded in making a far-infrared detector so sensitive that we will soon be able to look back even further than we can with current telescopes.

Jochem Baselmans, professor at TU Delft and senior researcher at SRON, explains why the interdisciplinary project took 17 years, what exactly they want to look at with the detector and why they are now waiting for a super-cold telescope.

Read more: Far infrared detector KID achieves highest possible sensitivity .


NL-JP Joint Seminar in Radar Sensing for Human Health Monitoring

A joint seminar is organised on September 1-2 in our faculty by researchers in the MS3 group with colleagues from the Kyoto University and Osaka University.

This joint seminar, entitled the Nederland-Japan Joint Initiative for the Innovation in Radar Sensing for Human Health Monitoring, is supported by NWO and the JSPS (Japanese Society for the Promotion of Science) under the joint Cooperation Seminars Scheme, with a grant awarded to Dr Francesco Fioranelli (TUD) and Prof Takuya Sakamoto (Kyoto University), and is also supported by the IEEE Engineering in Medicine and Biology Society (EMBS).

The purpose of the joint seminar is to bring together researchers from Dutch and Japanese institutions and foster cooperation around the broad topic of contactless sensing and monitoring technologies for human healthcare. Specifically, contactless sensing and monitoring technologies of our interest are based on radar systems employing radio frequency (RF) electromagnetic (EM) waves to measure physiological phenomena of interest related to human healthcare, including but not limited to patterns of activities of daily living, quality of walking gait, tremors in limbs, and vital signs such as respiration, heartbeat, blood pressure and arterial pulse.

The seminar will be held at the EWI faculty, with speakers from TU Delft (MS3 and CAS groups of our department), Kyoto and Osaka Universities, KU Leuven, as well as contributions from IMEC, Infineon and NXP Semiconductors, amongst others.

A detailed programme of the seminar can be found here:

Anyone is welcome to attend and hybrid participation via Zoom is also possible, using the following link:

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New colleaugues

Charlotte Frenkel

Charlotte joined the Electronic Instrumentation group as an assistant professor in July.
Before that, she was a postdoctoral researcher in UZH/ETH Zürich, Switzerland, and she received her PhD from Université catholique de Louvain (UCLouvain), Belgium, in January 2020.
She merges insight from neuroscience and machine learning into neuromorphic digital integrated circuits for smart sensors and adaptive edge computing.

Room HB 15.310;

Chang Gao

Dr. Chang Gao obtained his Ph.D. degree with distinction from the Institute of Neuroinformatics (INI), University of Zurich and ETH Zurich, in December 2021. His Ph.D. thesis was about designing energy-efficient accelerators of recurrent neural networks (RNNs) for real-time inference. In August 2022, he joined TU Delft as a tenure-track assistant professor in the Electronic Circuits and Architectures (ELCA) group, Department of Microelectronics. His research interest is designing energy-efficient digital AI hardware for edge computing, emphasizing ultrahigh-speed communication, video/audio processing, robotics, and biomedical applications. He is also an enthusiast of neuromorphic computing. He is spending efforts to bridge the gap between artificial neural networks (ANNs) and spiking neural networks (SNNs) by applying brain-inspired neuromorphic principles to massively accelerate the computation of state-of-the-art deep neural network (DNN) architectures while maintaining competitive accuracy on real-world tasks. In the future, these highly optimized AI algorithms and energy-efficient hardware could be implemented in miniaturized smart Internet-of-things (IoT) devices with the always-on capability to make our life more convenient.

HB 19.280, 

Karen Dowling

Dr. Karen Dowling grew up in Ann Arbor, Michigan and obtained her PhD in EE from Stanford University in California, USA. Her PhD focused on creating high quality magnetometers for extreme environments using Gallium Nitride, as well as some micromachining techniques in Silicon Carbide, both wide bandgap semiconductors. Before joining TU Delft, she was a postdoctoral researcher at Lawrence Livermore National Laboratory (LLNL), expanding her work to RF opto-electronic power devices known as photo-semiconductor switches. In the Department of Microelectronics at TU Delft, Dr. Dowling is excited to combine both her love of sensors for harsh environments with optically coupled conduction mechanisms to open new avenues for high performing microsensors across the spectrum from fundamental research to device development and (someday) deployment.

HB 15.290, 

Nicolas Chauvaux

Nicolas joined the Department of Microelectronics in July, section Electronic Instrumentation. His work, under the supervision of Dr. Frenkel, will focus on in-memory computing (IMC) and its integration at the system level. Achieving an ultra-low-latency architecture for spiking neural network (SNN) inference will be one goal of the research.

Nicolas obtained his  M.Sc degree from Université catholique de Louvain (UCLouvain), Belgium, in 2021, during which he already worked on IMC applied to SNNs for my M.Sc thesis. He also has a strong interest in system-level performance analysis, asynchronous circuits, and integrated circuit design. room HB 15.240.

New NWO project: GRASPA

Six research projects receive funding within the Open Technology Programme (OTP) this month. The projects receive a total of about 4 million euros from NWO; organisations involved in the research projects invest a total of 1.3 million euros. Among these 6 projects is a project from prof. Geert Leus from the CAS group; Graph Signal Processing in Action (GraSPA).

Graph signal processing (GSP) is the exciting research field that extends concepts from traditional signal processing to signals living in an irregular domain that can be characterized through a graph. GSP is extremely promising for applications in transportation networks, smart grid, wireless communications, social networks, brain science and recommender systems, to name a few. This project focuses on the non-trivial extension of GSP to time-varying or dynamic networks, where either the connections or the nodes can change. We will develop innovative tools to estimate such time-varying graphs from data and devise new graph filtering schemes for denoising, interpolation, and prediction. The developed techniques will be applied to brain activity monitoring, which is crucial to understand the working of the brain, as well as recommender systems, which are omnipresent in our daily lives.

More information: Four million euro for six technological research projects | NWO

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Gravity grant awarded to research on brain interactions

The goal of this research is to develop principles, devices and methods to take these interactions into account and thus understand more about brain disorders, as well as moods, emotions and compulsions.

The research project is called 'The Dutch Brain Interfaces Initiative' and is led by researchers from Radboud University Nijmegen. TU Delft will contribute to the development of computer models, and microfabrication technology for the development and validation of closed-loop control for neural prostheses. These prostheses can give us back lost senses and control, enabling us to bypass injuries and treat an unprecedented range of brain disorders, restoring a better quality of life for deaf, blind, paralyzed and mentally ill people. 

Ultimate applications of the multi-year research include the use of Deep Brain Stimulation on patients with motor and psychiatric disorders, the development of Brain-Computer interfaces that enable communication for people who cannot speak and the deployment of visual implants for the visually impaired and blind. Frans van der Helm and Wouter Serdijn are the leaders of the Delft research project. Frans van der Helm: 'The human brain is the ultimate technical challenge for engineers. It is great to be able to use our technical background and technical capabilities to contribute to a better understanding of, and better interaction with, the human brain.'

The Dutch Brain Interfaces Initiative is the combination of a platform with computer, software and hardware elements, aimed at facilitating closed-loop manipulations in the long term, and brain monitoring in a naturalistic environment, with a neuroscience research program with 3 main objectives: to increase the understanding of the general principles of brain dynamics, to develop strategies to influence, restore or improve those dynamics and the cognitive function they support, and to understand the neural basis of behavior under naturalistic conditions.

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VENI granted for Miniature and Sustainable Internet-of-Things

The Dutch Research Council (NWO) has awarded a Veni grant worth 280,000 euros to Sijun Du, who is at the first place in ranking out of 169 pre-proposal applicants and 71 full-proposal applicants at the Applied and Engineering Sciences (AES) domain. Sijun Du is an assistant professor at the Electronic Instrumentation division, Department of Microelectronics. The grant provides him with the opportunity to further elaborate his own research idea on making future Internet-of-Things miniature and sustainable.

Project abstract

Making wireless sensor devices self-sustainable and small, with energy harvesting solutions and sub-mm dimensions, will be critical in future Internet-of-Things applications, e.g., in healthcare and smart-farming systems. However, current self-sustained devices are larger, with dimensions dominated by off-chip inductors. Removing these inductors can potentially decrease the system size by 99%, and pave the way to real-world implementations and commercialisation. This project proposes a new inductor-less architecture for energy harvesting systems. It achieves higher energy efficiency than conventional inductor-based systems, breaks the miniaturisation barrier, and enables fully silicon-integrated self-sustained wireless sensing devices for future Internet-of-Things.

Veni Talent Programme

Veni, together with Vidi and Vici, is part of the NWO Talent Programme (formerly: the Innovational Research Incentives Scheme). The Veni grant is one of the most prestigious grants for early-career researchers, and to be awarded is considered an important step in an academic career. NWO selects researchers on the basis of the quality of the researcher, the innovative character of the research, the expected scientific impact of the research proposal and possibilities for knowledge utilisation.


Project proposal UPSIDE, successful in the EU call EIC Pathfinder challenge

The multi-disciplinary and international consortium led by Dr. Tiago Costa, includes ME department PIs Dr. Dante Muratore and Prof. Dr. Ir. Wouter Serdijn, and partners from Belgium, Germany, Italy, Portugal, and the USA. With a total budget of 4.2 M€, the consortium will use the combined expertise in bioelectronics, brain-machine interfaces, focused ultrasound, neurobiology, neurosurgery, and psychiatry to achieve a technological breakthrough towards a personalized treatment for depression.

Project description:

Major depressive disorder (MDD) is the leading cause of disability worldwide, affecting 300 million people with a lifetime prevalence of 15%. Approximately one third of all MDD patients fail to respond to currently established treatments based on medication and psychotherapy, thus falling into the category of Treatment-Resistant Depression (TRD) patients. Electroconvulsive therapy (ECT), repetitive Transcranial Magnetic Stimulation (tRMS), Vagus nerve stimulation, deep brain stimulation (DBS) and transcranial focused ultrasound (tFUS) still show poor spatial resolution (ECT, tRMS, tFUS) or low network coverage (VNS, DBS), with average remission rates in clinical trials still lower than 30 %. Apart from the existing stimulation hurdles, reliable biomarkers for depression are needed as a diagnostic tool, and, in the case of neuromodulation-based treatments, to determine the stimulation efficacy and allow for personalized treatment. The UPSIDE project aims to overcome the limitations above by developing a hybrid epidural brain interface (EBI) for high-precision ultrasound neuromodulation (eFUS) and high-fidelity neural recording (eREC) for the personalized treatment of depression.

Happy Secretaries Day!!!

Our congratulations and best wishes!

Travel awards to IEEE Radar & EURAD Conferences, for MS3 PhD's

With the end of the COVID-19 related restrictions, it has been a pleasure to travel again to attend three top scientific conferences in the area of radar, microwave, & antenna research, specifically the EUCAP 2022 (European Conference on Antennas and Propagation) in Madrid, the IEEE Radar Conference 2022 in New York City, and the EuRAD 2021 (European Radar Conference) in London.

Members of the MS3 group presented a total of 18 papers across these 3 conferences, with topics ranging from antenna design to healthcare applications of radar, from radar signal processing to innovative techniques for automotive radar. Special congratulations to PhD candidates Ronny Gündel and Sen Yuan for being awarded Student Travel Awards to attend the IEEE Radar Conference and EuRAD, respectively, and to PhD candidate Ignacio Roldan for runner-up placement in the best paper award at EuRAD (among the best 3 papers at the conference) for his work on enhancing angular resolution of automotive radar via neural networks. Onwards and upwards to the next conference!

EuCAP 2022 best paper awarded to TS & ELCA Group

At the recent European Conference on Antennas and Propagation, authors Nick van Rooijen, Maria Alonso-delPino, Marco Spirito and Nuria Llombart have received the Best Theory and Design Antenna Paper award for their work entitled; Core-Shell Leaky-Wave Lens Antenna for 150GHz Fly’s Eye Communication Systems’

Their contribution describes a scalable novel antenna architecture suitable for high frequency wireless links. This antenna has an outer ‘shell’ lens for large gain, and an inner ‘core’ lens for improved Front-End integration and increased degrees of freedom. EuCAP is Europe’s largest and most significant antennas and propagation conference, attracting more than 1400 participants from academia and industry from all over the world.

Board of Delft Space institute awarded Matus Rybak a DSI Seed Grant


Observing the Universe at sub-mm wavelengths (0.1-1.0 mm) opens doors to a wide range of phenomena: from the leftover radiation from the Big Bang to distant galaxies, formation of stars and planets, to supermassive black holes. Unfortunately, spectroscopy at sub-mm wavelengths is still severely limited by narrow bandwidths of heterodyne receivers. This makes spectroscopic observations very time-consuming.

With the Delft Space Institute Seed Grant, a new ultra-wideband spectrometer DESHIMA on the ASTE telescope in the Atacama desert in Chile is installed. Developed at EEMCS, DESHIMA uses ground-breaking superconducting technology to measure the spectra between 220 and 440 GHz. Though based on the Earth, DESHIMA is a key technology demonstrator for instruments for future space missions. Matus will also set up a station to remotely control the telescope from the EEMCS and process the DESHIMA data in-house: an excellent opportunity for students from EEMCS to get involved in astrophysical observations!

Link to DESHIMA webpage:

2021-2022 IEEE SSCS Predoctoral Achievement Award

A small number of promising graduate students receive the IEEE SSCS Predoctoral Achievement Award each year. Masoud Pashaeifar, our 4th-year Ph.D. student, is awarded this prestigious SSCC recognition in this year's edition. At ELCA, we are delighted and proud of Masoud. We wish him the best of luck for the rest of his Ph.D. journey. 

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New project granted to the ELCA and MS3 groups

A new project sponsored by NXP and TKI entitled "Distributed High-Resolution Automotive Radar for Autonomous and Secure Mobility (DiRAc)" is granted to the ELCA and MS3 groups of our department.

Advanced driver assistance systems (ADAS) are transforming cars into securely-connected, highly-autonomous vehicles with the capability of sensing the environment, thinking, and taking adequate decisions in a huge number of traffic conditions. Enabling components of ADAS are radar transceivers permanently measuring the range, angle, and velocity of objects around the vehicle. The penetration of radars into urban scenarios requires extremely high angular resolution to separate pedestrians, bicycles, pets and even smaller targets.

Angular resolution is a challenge for single mmWave radars of limited aperture size. That is why in this new joint project with NXP Semiconductors we will therefore pursue a distributed, synchronized network of small aperture radar sensors in this research project.  It deals with high-resolution imaging of the environment using a moving platform, wideband mmWave signals, and multiple distributed MIMO radars with a small number of antennas. Solutions for four critical radar architectural and signal processing challenges will be pursued: Imaging topology, waveform and radar synchronization, 360 degrees image focusing, and bistatic signaling. Two PhD students (one at ELCA, another one at MS3) will work for this project.

NWA-ORC project "OBSeRVeD" with co-applicant Sten Vollebregt and Frans Widdershoven granted

A total of 28 consortia will work in interdisciplinary teams on research that will bring both scientific and societal breakthroughs within reach. The entire knowledge chain and societal organisations, including public as well as private parties, will work closely together in these projects. The projects have received funding in the third round of the Dutch Research Agenda programme Research along Routes by Consortia (NWA-ORC).

The ME department plays a lead role in one of the funded consortia:

OBSeRVeD - Odour Based Selective Recognition of Veterinary Diseases

Coordinator: dr. ir. C.A.J. (Cas) Damen - Saxion Hogeschool
Affiliated TU Delft researchers:  dr. ir. Sten Vollebregt (WP-lead) and prof. dr. ir. Frans Widdershoven, EEMCS faculty,  dr. Monique van der Veen – AS faculty

When chickens in a farm become infected or have parasites, specific odours are produced. A cross-disciplinary team will combine innovative sensors, affinity layers, and machine learning to develop and test an electronic nose. This sensitive system can recognize a fingerprint of Volatile Organic Compounds and thus recognise specific diseases at an early stage, when (preventive) measures are most effective. In this project, veterinary health, industry, science professionals and societal organisations will collaborate towards developing a practically applicable poultry health monitoring system to improve chicken and public health, general welfare and reduce antibiotics/chemicals use and the environmental impact of livestock farming.

Lees meer: TU Delft news

Or in English on the NWO website: NWO news

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An ERC for Akira Endo; a 3D vision on the universe’s structure

To look back in time, you need to look far, far away in the universe. Conventional techniques for this are limited: they either create a flat 2D image, or focus too much on the details. Neither paint a full picture of our universe, but that is about to change. Akira Endo has received an ERC Consolidator grant for his TIFUUN project, which will create 3D maps of vast volumes of the universe. These will cover both distant places and times – more than 10 billion years to be exact! The better imagery that Akira Endo will generate could revolutionize our insights into the history of galaxies, and the formation and evolution of the so-called ‘cosmic web’.

The universe as a forest

The universe is not the same everywhere: some places such as galaxies have a higher density of matter and energy, while other places are almost void. Akira Endo: “In a sense, you can imagine the universe as a forest. Long and intricate clusters of galaxies form the trees – galaxies themselves might be the size of leaves in this metaphor – but outside of the trunk and branches, there is nothing.” Another word for this forest is the ‘cosmic web’, a visualisation of the universe where all matter hangs together in a web. Akira said that like a forest, the cosmic web is still evolving: “We want to understand its development, by looking at how it started. I hope to uncover the history of all matter, going back to the first billion years of the universe – to help us understand the evolution of galaxies and the emergence of the cosmic large-scale structure.”

Read more: An ERC for a 3D vision on the universe’s structure

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Raj Thilak Rajan elected to the IAF-SCAN committee

Raj Thilak Rajan was elected to the Space Communications and Navigation Committee (SCAN) of the International Astronautical Federation (IAF).

The SCAN committee is responsible, within the IAF, for all aspects of satellite-based communication and navigation systems and technology. The committee will organise the SCAN symposium at each IAC and, when appropriate, will organise specialised plenary sessions and Highlight Lectures. It will provide annual inputs to the IAF report to the United Nations.

For more information: see link.

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Heart rhythm expert Natasja de Groot: ‘Every heart is different’

The electrodes in the display cabinet show the technical developments over the last 20 years. The oldest one looks like a kind of small shower head from which four cables emerge, ending in computer mouse-sized plugs. Natasja de Groot used it during her PhD research on heart rhythm disorders in Leiden. The newest electrode is a wafer-thin strip to which three metres of multilayer flat cable are attached to read out the 192 channels simultaneously. The cable was made at TU Delft in the Bioelectronics group of Prof. Wouter Serdijn (Faculty of Electrical Engineering, Mathematics and Computer Science).

Full article;  Heart rhythm expert Natasja de Groot: 'Every heart is different’ (

Justin Dauwels wins the Vincent Bendix Automotive Electronics Engineering Award

A paper by Justin Dauwels (from the time he was in Singapore) has won the Vincent Bendix Automotive Electronics Engineering Award.

The paper is “An Optimal Controller Synthesis for Longitudinal Control of Platoons with Communication Scenarios in Urban Environments and Highways”.

SAE is a foundation for automotive engineers, founded in 1904 by Henri Ford, and with 100,000+ members.

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Alle-Jan van der Veen appointed IEEE Signal Processing Society Vice President

Alle-Jan van der Veen has been appointed IEEE Signal Processing Society Vice President for Technical Directions, for the term 2022-2024.  In this capacity, he is member of ExCom and chairs the Technical Directions Board (comprising the 12 Technical Committees of the SP Society).

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Minister of Education "meets" Jorge

On 20 January, our new Minister of Education Robbert Dijkgraaf interviewed a few young scientists. Jorge Martinez was one of them.

On twitter: "Jonge wetenschappers inspireren mij enorm. Ik sprak ze over hun ideeën voor de toekomst van de wetenschap en hun werkdruk en de werkcultuur. Daarnaast vertelden zij over interne en externe stressfactoren en het pad dat zij voor zich zien, ook buiten de wetenschap. Wordt vervolgd!"

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ELCA @ 2021 Huawei Student Design Contest

On the 15th of December 2021, the Huawei Belgium Research Center (BERC) held its yearly Analog/RF Student design contest. In this competition, ten students from the entire Benelux presented their previously published research to an audience consisting of Huawei managers and engineers.
Our Ph.D. candidate, Mohammadreza Beikmirza, proudly represented the ELCA research group and received the first-place award of the contest. Mohammadreza Beikmirza highlighted his innovative 4-way Doherty digital-intensive transmitter. In his breakthrough RFIC chip, a 12-bit 4-way Doherty I/Q digital transmitter featuring a 50% LO signed I/Q interleaved upconverter in 40nm CMOS was presented. His chip achieves 27.5dBm RF peak power at 5.5GHz, while its drain efficiencies at peak and 10-dB back-off are 47% and 40%, respectively. Its intrinsic I/Q image and LO leakage of a 200MHz single-tone signal are better than -62 & -67dBc, respectively, over a 4.5-to-6GHz band. Using a simple DPD when applying a 320MHz 512-QAM OFDM signal, the measured ACLR & EVM are -40dBc & -32dB, respectively. 

EI @ 2021 Huawei Student Design Contest

The Electronic Instrumentation (EI) lab wins two awards at the Huawei 2021 Analog/RF IC Student Design Contest.

Last December 15th the Huawei Belgium Research Center (BERC) held its yearly Analog/RF Student design contest. In the contest, ten students from the entire Benelux presented their previously published research to an audience consisting of Huawei managers and engineers.

Our PhD candidates proudly represented the Electronic Instrumentation Lab and received two awards. Thije Rooijers highlighted his novel technique to reduce intermodulation distortion (IMD) in chopper-stabilized amplifiers which received the Silver Prize (3rd award), while Arthur C. de Oliveira showed how the MEMS Coriolis sensors can be a promising alternative to MEMS Thermal flow sensors in microfluidic applications and got the Golden Prize (2nd award).


Altijd geld bij de hand, met een betaalchip onder je huid

In de onstuitbare opmars van het contactloos betalen zet een Pools bedrijf de volgende stap: een betaalchip onder de huid, geen apparaat meer nodig. Wie wil dat? Brigitte heeft er al een. De technologie is echter niet wereldschokkend, zegt Wouter Serdijn, hoogleraar bio-elektronica in Delft. Artikel in de Volkskrant, d. 17 december 2021, door Enith Vlooswijk.

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Jan Angevare and Kofi Makinwa, co- recipients of the ISSCC 2021 Takuo Sugano Award for Outstanding Far-East paper

For a paper presented at the 2021 International Solid-State Circuits Conference (ISSCC), the world’s top conference in chip design, members of the Electronic Instrumentation (EI) lab became co-recipients of the Takuo Sugano award for best Far-East paper. During a pre-Covid visit to the TU Delft, Ph.D. candidate Woojun Choi (Yonsei University, Korea) and his counterpart Jan Angevare (TU Delft) came up with the architecture of an integrated frequency reference with high accuracy and low energy consumption, making it well suited for battery-less IoT applications (link to the paper). The resulting chip is just one example of the long and fruitful cooperation between the groups of Youngcheol Chae (Yonsei) and Kofi Makinwa (TU Delft).

Portret series new Medical Delta professors - Wouter Serdijn

For people with heart, nerve and brain disorders, bioelectronic medicine can make a significant difference. Professor Wouter Serdijn works on these tiny devices. He is a professor at TU Delft and, thanks to Medical Delta, now at Erasmus MC as well. "Technical disciplines often use objective measures, while no two people are the same. It is therefore important to include the subjective side in the design."

In the video below, Wouter Serdijn tells about his Medical Delta professorship:


"I have always worked together a lot, but with my appointment in Rotterdam this has become more formalised," says Serdijn. "I now also have the 'right' to walk around there and am part of the information flow. This structure fits in well with how I am used to working. Not starting from existing pigeonholes, but working together at an umbrella level. Medical Delta is a bundle of great people, both technical, medical and clinical-academic. The engineer, medical scientist and therapist form a triangle. Together they can develop what is best for a patient."

How did your interest in the medical field emerge?

"For my graduation project, I worked on hearing aids together with a technology company. I experienced that something that met the technical specifications perfectly, could be totally unpleasant to listen to, and thus collided with the boundaries of the technical domain. Technical disciplines often assume objective measures, while no two people are the same and an individual person will be different tomorrow. It is therefore important to include the subjective side in the design.

How do you contribute to medical science with your knowledge of bioelectronics?

"I do not know exactly how the body works, but I can help measure, examine and control it. I can read and write nerve tracts. One example we are working on is helping people with paralysis regain their posture when sitting or standing and a rudimentary form of walking. This can now be done mainly with a wheelchair or other aids. But I want to know how we can re-energize their own muscles that are still intact but no longer controlled. How can we restore the connection between the brain and muscles? We are about to start clinical trials for this.

I also want to contribute to implantable technology that someone can wear invisibly as much as possible. For example, the so-called cochlear implant. This device enables a deaf person to hear and therefore to develop speech. But these implants still have an external part. You have to take it off when you go swimming or take a shower, for example, and then you don't hear anything anymore. I want to improve that. Though you can engage in conversations with this implant, you cannot listen to music. That can even be a very unpleasant experience. I think that is a shame; not being able to enjoy music is truly a loss. I want to tackle that as well."

How do you see Medical Delta in the future?

"In ten years, Medical Delta will be a scientific plateau. With connections and prestige in The Netherlands, Europe and perhaps the rest of the world. It will be the nerve centre of a lot of activities. The educational component also plays an important role, for example, with the clinical technology degree programme. Very good things and people are already coming out of this and I have high expectations of them. Because science is one part, but training new talent in the combined disciplines, that is the multiplier. Each year, we now have almost a hundred new graduates. They will soon have a greater impact than the Medical Delta professors of today. They are the future."

What is your advice for successful collaboration?

"Stay connected with where you originate from. That is where your value and your strength lies. You have to build a bridge, but stay true to what you are good at. Also, in collaboration, there must be a genuine mutual interest and you must both benefit from it. If you go up to someone and say 'I need this piece of technology from you' or 'this technology needs to go into a patient', it doesn't work. It takes time to understand what is happening on the other side and what the problems are. You also have to find a common language. With me, for example, everything is straight. The components, my diagrams. In biology, everything is curved, for example, cells, tissues and organs. You have to find a way of dealing with it. It is in the shared fascination with the problem that we find each other."

Which other researcher surprised you?

"Multiple researchers, but Chris de Zeeuw of Erasmus MC keeps surprising me. It is an important reason for choosing his department for my second appointment as a professor. He is an inspiring leader. He has great scientific knowledge and knows how to create a group and offer opportunities. He sees the importance of other disciplines for his own and was perhaps generation zero of Medical Delta."

This article is part of a series in which we highlight the nine new Medical Delta professors. Click here for the other portraits that have been published so far. Wouter Serdijn's research contributes to scientific programs, including, including Medical NeuroDelta: Ambulant Neuromonitoring for Prevention and Treatment of Brain Disease and Medical Delta Cardiac Arrhythmia Lab.

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ISOCC 2021 ISE President Best Paper Award

At this year's edition of ISOCC 2021, our former excellent bachelor and master student, Jun Feng, obtained the "2021 ISE President Best Paper Award" for his paper: "A Versatile and Efficient 01.-to-11 Gb/s CML Transmitter in 40-nm CMOS."

Ph.D. candidates Mohammadreza Beikmirza and Milad Mehrpoo contributed to Jun's outstanding work. Jun is now a Ph.D. candidate at KU-Leuven. We congratulate Jun, Mohammadreza, and Milad for this award and send our best wishes for their future research.

Best Student Paper Award at ESSCIRC for EI students

The paper “A −109.1 dB/−98 dB THD/THD+N Chopper Class-D Amplifier with >83.7 dB PSRR Over the Entire Audio Band” was selected for the Best Student Paper Award at ESSCIRC 2021 and will be awarded during the 2022 ESSCIRC-ESSDERC Conference in Milan in September 2022. The paper was co-authored by Huajun Zhang, Nuriel Rozsa, Marco Berkhout, and Qinwen Fan, and the work is done in collaboration with Goodix Technology. The paper can be found at 

TU Delft and ITEC BV launch X.AL, the first Dutch Lab for Extreme Chip Assembly Technology

The next generation of chip assembly machines must meet the growing demand for chips in a more efficient way. Therefore, Technische Universiteit Delft and the Dutch semiconductor equipment manufacturer ITEC Nexperia have launched X.AL: the first Dutch Lab for Extreme Chip Assembly Technology, where research is conducted into the next generation of green chip assembly processes and equipment concepts.

The team of Technische Universiteit Delft researchers, led by Marcel Tichem, Peter Steeneken and Massimo Mastrangeli, provides the knowledge and expertise to develop the breakthrough technologies for these new equipment concepts.

Read the full press release here: X.AL press release

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New DAI Labs for Raj Rajan

Raj was awarded a DAI Labs, with 3ME (Manon Kok). This will fund 2 PhD positions for CAS, and generate some TU-wide publicity.

The awarded proposal is "Sensor AI" and investigates sensor networks, sensor fusion, distributed learning, sensor swarms. The 3ME part also looks at human motion estimation and including physical knowledge into learning systems.

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New Medical Delta professors

Congratulations Wouter Serdijn, Natasja de Groot and Andrew Webb on your inauguration as Medical Delta Professor

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Three Medical Delta professors in micro electronics department

On November 2, nine professors were simultaneously inaugurated as 'Medical Delta professor' at Leiden University, LUMC, TU Delft, Erasmus University and/or Erasmus MC. Among which ME professor Wouter Serdijn and part time professors Natasja Groot and Andrew Webb. With an appointment at at least two of these five academic institutions, they combine technology and healthcare in their professorship.

The nine professors have each earned their spurs in research at the intersection of health and technology. Examples include the use of new techniques to determine the cause of cardiac arrhythmia, how cartilage can be repaired using technology, and how e-health can help with rehabilitation or prevention of illness. The official inauguration follows their earlier appointment as Medical Delta professors. During the inauguration, the professors presented their research and answered questions from young researchers.

See more:

Lunch lecture: Superconducting On-chip Fabry–Pérot Resonators at Sub-millimeter Wavelengths

Date: Friday November 5

Time: 12.00-13.00

Place; Faculty EEMCS, B.36, Snijderszaal

Register before November 3 via


Superconducting On-chip Fabry–Pérot Resonators at Sub-millimeter Wavelengths

Superconducting integrated circuits play a central role in the development of next-generation astronomical instruments at sub-millimeter wavelength.In order to reach the necessary efficiency for these instruments, a quantitative understanding of the losses within the circuit is required. Superconducting on-chip Fabry–Pérot resonators provide a sensitive and flexible way to measure transmission line losses at sub-Kelvin temperatures and sub-millimeter wavelengths.In this talk, we will discuss the development and application of on-chip Fabry–Pérot resonators for loss measurements of co-planar waveguides and microstrips at 350 GHz. We obtain very low losses for both types of transmission lines, reaching internal quality factors of close to 20,000 for a NbTiN co-planar waveguide.

RainGuRU , AI-based rainfall nowcaster

RainGuRU is an AI-based rainfall nowcaster for The Netherlands. It predict rainfall intensities up to 100 minutes ahead based on real-time radar data provided by the Royal Netherlands Meteorological Institute (KNMI).

RainGuRU has been developed by TU Delft MSc student Eva van der Kooij for her thesis and it is an adaptation of the TrajGRU recurrent convolutional neural network.

This work was supervised by M. Schleiss and R. Taormina (CiTG faculty), and F. Fioranelli (EWI faculty), and the website was developed by HKV with the support of the TU Delft Safety and Security Institute.

Innatera: Spiking neural network architecture

A short video about the Spiking Neural Hardware Architecture Innatera is working on. (Innatera is a startup originating in the CAS group.)

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Convergence Open Mind Grant for ME Department

Francesco Fioranelli, Assistant Professor at the MS3 group, has received an Open Mind Grant as part of the Convergence Initiative between TU Delft, Erasmus MC and Erasmus University. The co-applicants were Caitlin Ramsey, PhD candidate at Erasmus MC (and former alumna of this department), and Lytske Bakker, PhD candidate at Erasmus University Rotterdam.

The proposal is entitled “Contactless monitoring of neonates in the intensive care unit”. The objective is to explore contactless measurements based on FMCW radar for monitoring key vital signs of neonates, by investigating technical feasibility, clinical reliability and cost effectiveness of the proposed techniques. It is a nice example of “convergence”, bringing together key expertise from all applicants to perform research that would be unfeasible in isolation. The ambition of the project is to start with a small pilot showing the feasibility and potential of the idea, to then build evidence and momentum to develop a new medical device.

Additional information can be found on the Symposium webpage which showcased the other funded Open Mind projects (

Chao Chen receives Open Mind Grant

Chao Chen presents at the Open Mind Symposium

On Friday Sept. 17, 2021, Chao Chen pitched his research proposal

ULTRAPROBE: Ultrasensitive digital probe for transcranial ultrasound imaging of the brain

during the first Open Mind Symposium. Chao is working as a postdoc in Michiel Pertijs' Ultrasound ASICs group at the Electronic Instumentation Lab.

Chao’s proposal, written together with Dr. Pieter Kruizinga of Erasmus MC, is among the 17% winning proposals of the Open Mind Call 2021, and is a nice example of convergence between Erasmus MC and TU Delft. It aims to make a breakthrough in functional ultrasound imaging of the brain, by developing novel instrumentation to deal with the attenuation and aberrations introduced by the skull.

More information can be found on the Open Mind Symposium webpage:

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Item on chip manufacturing on national television

On the 1st of September, Sten Vollebregt explained in the program NTR Atlas on national television how chips are made and why it is difficult to produce many of them on short notice to resolve the current chip shortage. The item was filmed inside the Else Kooi Laboratory.

The program can be viewed back here (in Dutch): link to NPO start.

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Online conference Neural Interfaces and Artificial Senses (NIAS)

Since 1958 when the first pacemaker was implanted in humans, bioelectronics devices have been increasingly used to interface with different types of tissue, monitor and interact with biological activity. During our continuous endeavors to better study sophisticated neuronal systems we have become more capable of diagnosing and treating various disorders. We are currently emerging in an era where bioelectronic devices are becoming smaller, less invasive and safer, which in turn is being paralleled with new therapies for a vast range of neurological and auto-immune diseases. This opens exciting possibilities for the future, from cutting-edge technology for brain-machine-interfaces with unprecedented functionality, artificial organs and augmented senses that can change the way we perceive the world, to a more human way of interactions with robots.

Topics to be covered by the conference: • Bioelectronic devices • Electroceuticals/Bioelectronic medicine • Neuronal interfaces and implantable electronics • Materials at the interface with biology • Neuronal mechanisms and clinical applications • Artificial visual, auditory, olfactory, gustatory and tactile sensory systems.

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Asli Yelkenci wins CadenceLIVE Europe 2021 award

Asli Yelkenci is the winner of the CadenceLIVE Europe 2021 under the category of “Master Thesis Award for the Best Design using Cadence tools” with her master thesis done at Delft University of Technology under the supervision of Virgilio Valente, Section Bioelectronics.

Her thesis title is “A 16-Channel CMOS Reconfigurable Unit for Simultaneous In-Vitro Microelectrode Array (MEA) and Current-Clamp Measurements” which aims to gain insight into the correlation between electrical activities of a population of cells and single-cell activity. She will present her work during the online event CadenceLIVE Europe 2021 on 19th October.

You can register for the event and see the celebratory video via the link below.

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Welcome Geethu Joseph

The Department of Microelectronics and CAS are welcoming dr. Geethu Joseph, who starts in August 2021 as a new Assistant Professor. Her expertise is in signal processing for communications, in particular machine learning, compressed sensing and sparse recovery on graphs and networks, as well as dynamical systems theory.

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Three awards for the Electronic Instrumentation (EI) group at PRORISC and SAFE 2021

The Electronic Instrumentation (EI) lab receives three awards at PRORISC and SAFE 2021

Last July 8-9 PRORISC and SAFE made a successful re-start after a one-year hiatus. This time the event was held online and, as we are proud to report, PhD candidates of the Electronic Instrumentation Lab received three awards. Roger Zamparette and Thije Rooijers won Best Poster Awards in the sessions on Sensing & Low Power and ADC & Analog, respectively, while Efraim Eland won the Best Presentation Award in the ADC & Analog session.

Rising star: Justin Dauwels

As associate professor within the Circuits and Systems group at the faculty of Electrical Engineering, Mathematics and Computer Science, rising star Justin Dauwels is fascinated by how data-driven intelligent systems can tackle many of society’s problems. Neural networks and graphical models are his hammer, and he applies it to topics ranging from autonomous cars to digital health and beyond. But neuroscience has always been a main theme ever since his Erasmus exchange to the Institute of Neuroinformatics in Zürich. ‘I apply the models that I studied as an engineer to help unravel and understand human behaviour,’ he says.

Healthcare for the underprivileged

In one of his long-standing projects, he developed machine learning tools to reliably diagnose epilepsy and other related brain conditions from EEGs – recordings of electrical activity on the scalp – allowing neurologists to spend more time with their patients. He has also used audio and video recordings between psychiatrists and their patients to help diagnose various mental health indications such as depression and schizophrenia as well as the severity of a patient’s symptoms. His drive in developing these tools is to bring world-class healthcare to the underprivileged, such as at Sion’s public hospital in Mumbai which he frequently visited. ‘It serves the local community, with doctors who are severely underequipped and completely overburdened,’ he says. ‘The various intellectual properties have been licensed to a startup focused on brain health to make sure these developments reach the patients.’

We want to be able to answer what-if questions prior to the operation; if I remove some tissue here, what will that accomplish?

Planning epilepsy operations

A more recent project, and one that he will continue to pursue at TU Delft, is to establish a paradigm shift in the planning of operations for epilepsy patients for whom medication alone leads to an insufficient reduction in symptoms. ‘Currently, the decision on where to operate is primarily based on abnormalities observed on a CT-scan,’ he says. ‘We want to be able to answer what-if questions prior to the operation; if I remove some tissue here, what will that accomplish?’ Using advanced imaging, electrical measurements, and anatomical knowledge, Dauwels and collaborators buildt a very simple mathematical model of the patient’s brain. They can subsequently perform virtual resections and run the model to see if it reduces epilepsy attacks. Using only a basic model, this technique was more than 80% correct in a small cohort of patients for whom the outcome of the actually performed surgery was known. ‘We will now improve our model and analyse more patients.’

Next generation deep learning

TU Delft was already on Dauwels’ radar at the time of his master’s thesis, but he chose to first sharpen his skills in Japan, the USA and Singapore. But now, TU Delft is the perfect setting for him. Partially because it is much closer to his parents, who still live in Belgium, and especially because Medical Delta and the ongoing convergence with Erasmus University and ErasmusMC allow him to cooperate with many top-level clinicians. ‘Pretty much everyone in our group has ties with ErasmucMC, meaning there are many opportunities to apply my hammer,’ he says.

But it is not all about applications. He will also delve into the fundamentals of deep learning. ‘People start to realise that neural networks, on their own, won’t be able to address all problems. I have been working on graphical models for more than twenty years and these are a promising path towards next generation deep learning systems. It’s about building a better hammer, one that combines the fast, instinctive thinking of neural networks with the slow thinking of graphical and logical models. Just like in humans, it makes sense to verify an intuitive answer and to correct it if necessary.’

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New TTW project for Richard Hendriks and Jorge Martinez

This week Richard Hendriks received the news that his project proposal 'Personalized Auditory Scene Modification to Assist Hearing Impaired People' was granted funding from NWO TTW. Co-applicant is Jorge Martinez. The project will fund 2 PhD students. Congratulations!

Hearing impairment has become a serious problem for a large and increasing portion of the population as is shown by its prevalence: 11 % of the Dutch population suffers from severe hearing loss. These numbers show that hearing impairments form an important societal problem. It comes with many daily life problems in both private situations and working environments. Moreover, hearing-impaired people are often less confident in practical situations, need more assistance and have a worse quality of life. The underlying reasons are that hearing-impaired people suffer from a) the inability to understand speech in acoustic challenging situations, and, b) the inability to correctly localize sound sources. The goal of this project is to make the hearing impaired user fully benefit from an improved intelligibility and sound localization. To do so, we will develop an algorithm to personalize the presented auditory scene for improved speech intelligibility and sound localization for hearing impaired users.

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"Pearl" for research on the heart as a defibrillator

Researchers from LUMC and the ECTM lab of TU Delft have developed an optogenetic method for resetting a disturbed heart rhythm. On 10 June 2021 the project stood out among all the projects that ZonMw finances, and was awarded the ‘ZonMw Parel’.

The Vidi project was originally granted to dr. Daniël Pijnappels (LUMC) in 2014 by ZonMw, and the ECTM lab of TU Delft joined the collaborative research by end of 2017. A study of a new method on effectively and safely preventing and terminating human cardiac arrhythmia by gene therapy and LED illumination was jointly undertaken. Compared to traditional electroshock-based methods, this novel method is superior in overcoming severe shock pain, and therefore increases the quality-of-life of the patients.

A series of advanced LED illuminating devices for in-vivo, ex-vivo and in-vitro cardiac experiments were custom developed by researchers from TU Delft. The full-loop technical development was carried out by TU Delft researchers by tackling challenges such as multi-physics modeling, advanced electronics packaging, and smart system integration.

The joint research has not only produced high-quality scientific outcome, but also drawn general public’s attention via various successful media exposures. The "Pearl" award not only proves excellence in breakthrough scientific outcome, it also provides great encouragement for multi-disciplinary collaborations.

The TUD team includes Dr. Rene Poelma (currently at Nexperia), PhD candidate Tianyi Jin (holding the "Pearl" in the photo) and MSc student Shanliang Deng, under supervision of Prof. Kouchi Zhang.

The rising stars of the TU Delft, featuring Dante Muratore

After his PhD in what he calls “hardcore analogue microelectronics”, rising star Dante Muratore knew he wanted to continue his career working on systems that are closer to an actual application. A postdoc position at Stanford University, in which he worked on the electronics for an artificial retina to treat medical conditions leading to the loss of vision, brought him just that. Then, wanting to come back to Europe and to continue doing bioelectronics at the highest level possible, an opening at TU Delft crossed his path. ‘It was the easiest choice I ever made,’ he says.

Read more about Dante in the link below!

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Winnaar Kooy Prijs 2021: Keith Klein

Op 3 juni – de dag waarop het Kooy Symposium online plaatsvond – is de winnaar van de Kooy Prijs bekend gemaakt. De voorzitter van de afdeling Defensie en Veiligheid van het Koninklijk Instituut Van Ingenieurs (KIVI) Jan Wind, reikte samen met de voorzitter van de Kooyprijs jury Bart Koene, de prijs van 2.000 euro uit aan Ir. Keith T.J. Klein. Hij won de prijs met zijn afstudeerscriptie: ‘Estimating 3D motion from radar data: Exploiting an omnidirectional radar array for motion estimation in the context of SAR imaging on agile platform.’

Eind 2020 heeft de Kooyprijs jury een negental inzendingen – gericht defensie- en veiligheidstechnologie - ontvangen met voordrachten voor de Kooyprijs 2021. Alle inzendingen waren van uitzonderlijk goede kwaliteit. De jury heeft de verslagen met waardering gelezen, complimenteert de opstellers met de kwaliteit ervan en waardeert deze bijdragen aan de Defensie & Veiligheid onderzoeksgebieden.

Na rijp beraad is besloten om de Kooyprijs 2021 uit te reiken aan Keith Klein. Keith Klein is afgestudeerd aan de TU Delft bij de Faculteit Elektrotechniek, Wiskunde & Informatica en heeft zijn onderzoek bij TNO uitgevoerd van maart 2020 tot november 2020. Hij werd begeleid vanuit de TU-afdeling Microwave Sensing, Signals and Systems. Zijn afstudeerbegeleiders waren Dr. F. Uysal (TU Delft), Prof. dr. A. Yarovoy (TU Delft), Dr. M. Caro Cuenca (TNO), Ir. M.P.G. Otten (TNO) en Dr. ir. J.J.M. de Wit (TNO). Het verslag is met het cijfer 9.0 gehonoreerd.

Inhoud van de afstudeerscriptie

Keith heeft gewerkt aan 3D-snelheidsbepaling van onbemande vliegtuigen met behulp van radargegevens. Het verkrijgen van een nauwkeurige positiebepaling is een uitdagend probleem bij coherente radarverwerkingstechnieken zoals Synthetisch Apertuur Radar (SAR). Dit geldt des te meer voor lichte en wendbare platforms zoals multi-copters/drones. Hun moeilijk voorspelbare bewegingen moeten nauwkeurig worden bepaald tijdens het verzamelen van gegevens en worden gecompenseerd tijdens de verwerking.

Om een gefocust SAR-beeld te krijgen, moet elke pulslocatie nauwkeurig bekend zijn, opdat elke puls coherent is toe te voegen aan het beeldraster. Traditioneel wordt dit bereikt met een traagheidsnavigatiesysteem (Inertial Navigation System, INS) en GNSS (Global Navigation Satellite System) ontvanger. Hoewel deze combinatie redelijke prestaties kan leveren, vormen gewicht en grootte vaak een beperking voor lichte platforms, waardoor voor de INS de beschikbare mogelijkheden en de haalbare nauwkeurigheid beperkt zijn.

Toepasbaarheid van omnidirectionele radararry

Keith Klein heeft expliciet een analyse gedaan naar de toepasbaarheid van een omnidirectionele radararray voor het schatten van de beweging van een drone platform en het verbeteren van de positioneringsnauwkeurigheid. Voortbouwend op bestaande 1D-SAR-bewegingscompensatietechnieken, heeft hij nieuwe methoden ontwikkeld voor het goed benaderen van de 3D-beweging van het radarplatform door schatting van de hoogte en snelheid.

Daarnaast wordt ook een nieuwe 3D-autofocustechniek gepresenteerd die multi-beam-autofocus wordt genoemd. Deze techniek zorgt voor de correctie van 3D-trajectfouten van puls tot puls door gebruik te maken van de bundelvormende mogelijkheden van de array om meerdere gebieden scherp te stellen terwijl de afbeelding wordt gecreëerd. Door gebruik te maken van een Extended Kalman-filter (EKF) worden positieschattingen verkregen op basis van de radarsnelheidsmetingen. Dit maakt beeldvorming zonder INS mogelijk, wat relevant is in gebieden waar GNSS signalen niet/nauwelijks beschikbaar zijn.

Het fuseren van de schattingen verkregen uit deze methode met de bestaande INS-output levert ook prestatieverbetering op in termen van SAR-beeldfocus. Hierdoor wordt de oplosbaarheid en detecteerbaarheid van zwakke doelen verbeterd. De gepresenteerde resultaten creëren ook nieuwe onderzoeksmogelijkheden, niet alleen voor snelle SAR-beeldvorming, maar ook voor autonome navigatie op basis van radargegevens.

Het systeem van de drone-mounted radar --waar Keith onderzoek naar heeft gedaan—is door TNO ontwikkeld voor het Expeditionary Maneuver Warfare Department van de U.S. Office of Naval Research (ONR). Het systeem is van belang voor verkenningsmissies en hiermee bij uitstek relevant voor Defensie.


Keith Klein was blij verrast met zijn prijs. ‘Mijn begeleiders hebben mijn verslag ingediend zonder dat ik het wist. Toen ik een telefoontje kreeg dat ik de Kooyprijs had gewonnen heb ik even gewacht om het aan mijn omgeving te vertellen tot ik zéker wist dat het geen grap was. En natuurlijk ben ik er erg blij mee! Dank aan mijn begeleiders.’

Keith Klein is na zijn afstuderen gaan werken bij TNO. ‘Ik werk hier niet verder aan mijn afstudeerproject. Dat is nu overgenomen door stagiaire en het plan is om daar later ook weer nieuwe afstudeerders op te zetten. Het betekent dat het geen rapport is dat in de spreekwoordelijke la verdwijnt. Goed om te weten dat de materie voldoende potentieel heeft om verder aan te werken.’


De jury bestond uit de heren Dr. L. Koene (Juryvoorzitter en bestuurslid KIVI DV, NLDA/FMW), Ing. L.F. Galle (Ministerie van Defensie, Directie Materieel), P.H.A.J.M. van Gelder (TU Delft), Prof. dr. B.R.H.M. Haverkort (Universiteit Twente), Prof. dr. ir. F.E. van Vliet (TNO, Universiteit Twente) en Prof. dr. ir. P.J. Oonincx (NLDA/FMW).

Watch the ceremony at youtube

Abstract of the thesis

Acquiring an accurate estimate of position is a challenging problem in coherent radar processing techniques such as Synthetic Aperture Radar (SAR). Even more so, for light and agile platforms such as multi-copters. Due to their unpredictable flight path, their motion must be accurately measured during data acquisition, and compensated for during processing. To obtain a focused SAR image, each pulse location must be accurately known to ensure that each pulse is added coherently to the imaging grid. Traditionally, this is achieved with an Inertial Navigation System (INS). While an INS can provide reasonable performance, its weight and size are often a constraint for agile platforms, limiting the available options and attainable accuracy. In this study, we perform an analysis on the applicability of an omnidirectional radar array for explicitly estimating the motion of a multi-copter platform, and improving on the positioning accuracy achieved by the on board INS. Building on existing 1D SAR motion compensation techniques, we develop new methods for estimating the 3D motion of the radar platform by estimating its height and velocity. In addition, we also present a novel 3D autofocus technique termed multi-beam autofocus. This technique allows for the correction of 3D trajectory errors from pulse to pulse by exploiting the beamforming capabilities of the array, and focusing multiple regions as the image is created. Using an Extended Kalman Filter (EKF), we obtain position estimates from the radar velocity measurements based on the last known INS position. We experimentally verify that using our velocity estimation method alone, the positioning performance is already improved compared to that of a state-of-the-art INS, allowing for INS-free imaging using arbitrary flight paths. This enables imaging in GNSS-denied environments, and has the potential to further reduce the weight of the platform. We also show that fusing the estimates obtained from our method with the existing INS output yields an additional performance increase in terms of SAR image focus, improving the resolvability and detectability of weak targets. The presented results open further avenues of research, not only in agile SAR imaging but also in autonomous GNSS-denied navigation.

Ultrasound for microimplants – enabling personalized medicine with wireless charging

Treatment of chronic autoimmune diseases is no longer limited by the expensive drugs and undesirable side effects. Neuromodulation has been shown to be effective in treating diseases such as rheumatoid arthritis, chronic headaches, asthma or Parkinson's disease. To enable the technology for widespread clinical application, researchers at Fraunhofer IZM are developing a new generation of microimplants as part of the EU Moore4Medical project. These highly miniaturized devices have a special feature: the implants can be charged entirely wirelessly using ultrasound waves.

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(Em.) Professor Dr. Gerard Meijer Knight in the Order of the Netherlands Lion

He was knighted for 40 years of full and passionate commitment to the TU Delft, his students and research. As a loyal colleague he volunteered at the university for another 10 years. His research was of big social value and he as he was aware of the importance of the connection between science and business, he always tried to focus on strengthening this collaboration.

SSCS Webinar April 21

Register :


You are about to finish graduate school or perhaps a young or seasoned professional, contemplating a career transition. Which is better - a career in academia or industry? What are the pros and cons of one versus the other? How can you start exploring and build up your career accordingly? In this webinar, we will interview Dr. Linus Lu, a professor-turned-industry veteran, and Prof. Kofi Makinwa, an industry veteran-turned-professor, who will share their insights and perspectives from their personal journeys in both academia and industry careers. They will also address what triggered their transitions, how they staged their transitions, and offer their crystal ball projections on present and future career prospects in the solid-state-circuits profession.

Biography of Speakers

Shih-Lien (Linus) Lu is currently serving as the Chief Solutions Officer of PieceMakers Technology. He was a Director at TSMC Research and Development from 2016 to 2021. From 1999 to 2016, he was with Intel Corporation, Hillsboro, Oregon, where he was a research scientist, a research group manager, and later the Director of Memory Architecture Lab. He served on the faculty of the ECE Department at the Oregon State University as an Assistant Professor from 1991 to 1995 and as a tenured Associate Professor until 2001 (on leave the last two years). From 1984 to 1991, he worked on the MOSIS project at USC/ISI which provides research and education community VLSI fabrication services. His research interests include computer architecture, memory system and circuits, low power VLSI design, and hardware security. An IEEE Fellow, Shih-Lien received his B.S. in Electrical Engineering and Computer Science from UC Berkeley and M.S. and Ph.D. both in Computer Science and Engineering from UCLA. He and his wife raised four adult sons.

Kofi Makinwa is a Professor at Delft University of Technology, Delft, The Netherlands. From 1989 to 1999, he was a research scientist at Philips Research Laboratories in Eindhoven, The Netherlands. He holds B.Sc. and M.Sc. degrees (1985, 1988) from Obafemi Awolowo University, Ife, Nigeria, an M.E.E. degree (1989) from the Philips International Institute, Eindhoven, The Netherlands and a Ph.D. degree (2004) from Delft University of Technology. His main research interests are the design of precision analog circuits and sensor interfaces. This has resulted in 16 books, over 250 technical papers, and over 30 patents. He is the co-recipient of 16 best paper awards, from the JSSC, ISSCC, VLSI, ESSCIRC and Transducers among others, and is an ISSCC top-10 contributor. Prof. Makinwa has been on the program committees of several IEEE conferences, and has served the Solid-State Circuits Society as a distinguished lecturer and as a member of the AdCom. He is currently the Analog Subcom chair of the ISSCC, a member of the editorial board of the Proceedings of the IEEE, and a co-organizer of the Advances in Analog Circuit Design workshop and the Sensor Interfaces Meeting. He is an IEEE Fellow and a member of the Royal Netherlands Academy of Arts and Sciences.

Assistant professor Tiago Lopes da Costa (Bio electronics) receives the ‘early career HFSP research grant’


Cellular communication is mediated by voltage-gated, ligand-gated and mechanosensitive ion channels. Tools for modulating neuronal communication based on focused ultrasound (FUS) were developed to overcome fundamental limitations in optogenetics, combining non-invasive approaches and high spatial resolution without the need for genetic modification of neurons. Yet, little is known about the fundamental mechanisms of how focused ultrasound waves influence the finely tuned interplay of ion channels and lipid bilayers. How does the frequency and intensity of the ultrasound wave affects the lipid bilayer and different types of ion channels? What is the physical mechanism that governs the triggering of ion channel activity? These questions remain unanswered, with existing hypothesis limited by the spatio-temporal resolution of traditional optical, electrophysiology and ultrasound tools, which prohibit observations at the single ion channel level. To answer these questions we hypothesize that, if there would be a way to monitor effects of the FUS on the lipid bilayer and single ion channels with high temporal resolution, one should be able to monitor ultrasound-evoked oscillating current responses informing on ultrasound neuromodulation mechanisms. Hence, the aim of this proposal is to develop a concurrent experimental and computational approach, where state-of-the-art ultrasound and current read-out devices enabling high-bandwidth electrophysiology are matched with computational electrophysiology simulations. This will allow us for the first time to match the frequency of the focused ultrasound with the bandwidth of single ion channel recordings and the length of the computer-based simulations. We will focus our efforts in three aims, where Aim1 will establish the recording systems and simulations using model membranes alone and a mechanosensitive model channel. In Aim2 we will develop a recording platform integrating US-stimulation and high bandwidth recordings in complementary metal-oxide semiconductor (CMOS) technology, extending our efforts on non-mechanosensitive channels. In Aim3, we will combine the gained knowledge from Aims 1 and 2 to focus on mechanosensitive channel that are hypothesized to be involved in neuromodulation.

"Tech for Health" featuring Natasja de Groot

Please donate to our research on better understanding of cardiac arrhythmia

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Van auto tot smartphone: het chiptekort grijpt om zich heen

Chips worden gebruikt in talloze apparaten, onder meer smartphones, laptops en spelcomputers. Ook auto's hebben er honderden, zo niet duizenden aan boord. Maar nu er een groot tekort aan is, komen steeds meer bedrijven in de knel met hun productie. Wat is er precies aan de hand? Er is op dit moment een dusdanig hoge vraag naar chips dat de fabrikanten het niet kunnen bijbenen. Er is daardoor een schreeuwend tekort ontstaan. Dat heeft volgens Makinwa een aantal oorzaken. Hij wijst allereerst op het thuiswerken. Velen gaan sinds de uitbraak van de pandemie niet meer naar kantoor, waardoor meer vraag is naar apparaten om te kunnen thuiswerken, bijvoorbeeld laptops. "Ook zoeken veel mensen vanwege de lockdown naar extra vertier binnenshuis, waardoor meer spelcomputers worden verkocht. In al die producten zitten chips."

Een andere grootverbruiker van chips, namelijk de auto-industrie, zit nu ook met de handen in het haar. "In het voorjaar van 2020 moesten veel autobouwers hun fabrieken tijdelijk sluiten vanwege de corona-uitbraak", legt Makinwa uit. "Tegelijkertijd besloten ze om dan ook maar de bestellingen voor chips te annuleren. Omdat chipfabrieken een beperkte capaciteit hebben, hebben ze de vraag vanuit elektronicabedrijven, zoals smartphonemakers en de laptopbouwers, voorrang gegeven."

Toen de autofabrieken na de eerste coronagolf weer opengingen en de vraag naar auto's sneller opveerde dan gedacht, wilden de autoproducenten weer chips bestellen. Maar daar hadden de chipmakers nu minder capaciteit voor, waardoor de wachttijden flink zijn opgelopen.

Lees meer op,

Profcast with Prof. Wouter Serdijn

Or visit this link

Organ-on-chip project receives huge grant to make the leap from lab to fab

Scientists are pushing ahead building organ-on-chips, small chips with human cells, which are useful, for example, for studying cancerous metastases in the bloodstream or the development of scar tissue, or for testing the effect of drugs or food outside a human body. To make the step to industry, a collective of dozens of research groups, companies and knowledge institutions, brought together by the organ-on-chip consortium hDMT, are building a universal standard, supported by a NWO Perspective grant of nearly five million euros. The ultimate goal in the future: to link multiple organ chips together to simulate a whole body.

Check the official announcement (in Dutch).
Check the press release video summary at this link.

Those who think of chips only in terms of computers are nowadays deceived. An organ-on-chip usually consists of a plastic plate with integrated microchannels and chambers. Inside grow the complex tissues of human cells, in an environment that mimics the human body, but is barely visible to the naked eye.
A minute amount of liquid flows along the living cells to supply them with nutrients, and a pump delivers and removes them. Sensors in the chip measure how the cells respond and actuators make changes. For example, a different pressure, mechanical force, oxygen level or flow velocity.
By then adding a drug, food or cosmetic product to be tested, the researchers can see how the tissues react. The chip fits perfectly under a light microscope, so that the process can be followed easily and live.

Scaling up stalled by lack of universal standard

At the moment, the chips are mainly used by researchers to better understand how cells behave in their micro-environment or how diseases develop and spread through the body. In TU Delft, for example, the organ-on-chip group at the ECTM lab is working on microelectromechanical devices for brain-, heart- and gut-on-chip.
However, large-scale use by the pharma is not yet on the agenda due to the lack of a universal standard. There are many kinds of chips, each with its own design, dimensions and material. Moreover, the chips are difficult to fit into the workflow of the pharmaceutical industry and scaling up to larger numbers is very difficult. In short, they are designed for research, not for industry.
This is what the 10 research groups of 8 universities, united in the Dutch ‘organ-on-chip’ consortium hDMT, want to change, together with 21 companies, 3 knowledge institutions and 2 foundations. Led by researcher Jaap den Toonder of TU Eindhoven, they are now going to develop a standardized and modular platform for organs-on-chips, the SMART Organ-on-Chip. On March 10, they were awarded the NWO Perspective grant of 3.4 million EUR. The industrial partners are investing another 1.4 million EUR in the project.

TU Delft features among the SMART Organ-on-Chip consortium with the organ-on-chip research group led by Dr. Massimo Mastrangeli at ECTM.

Harmful drugs can be eliminated earlier

Pharmaceutical companies have a lot to gain from the standardized platform. Developing a new drug takes at least 10 years and billions of euros. This lengthy and expensive process is due to the different phases that the new drug has to go through. And 80% of promising drugs still drop out in the final phase.
Den Toonder: “If you can test the drugs directly on a realistic human organ-on-chip model, incorporating the complexity of the body right away, then you can eliminate harmful or ineffective drugs much earlier in the process, thereby saving a lot of money.”

Connecting Chips

To standardize the chips, the researchers are building a standard-sized "docking" plate that accommodates the fluid channels and electronics. Then the chips can be clicked onto it like modules.
The researchers develop tissue chips in which the cells are in the right microenvironment and technical chips with innovative fluid pumps and physical and chemical sensors. Den Toonder: "That's what makes the system so flexible; you can click the chips onto it in any combination you want, depending on the type of organ you want to examine and the question you want to answer."
The whole system is aligned with industrial workflows and biomedical R&D, for example, to work with pipetting robots and complex microscopic techniques. Moreover, it will be an accessible open technology, so that other companies can develop their own applications and add them to the existing platform.
Den Toonder: "By linking the various organ-on-chip models, we can ultimately also simulate the interactions between organs. That is really important, because organs never function in a body on their own. We hope that in time we will be able to develop, link and study chips for all the organs in the human body. Our ultimate dream is therefore a 'body-on-chip', with which you can study the effect of a new drug in all the organs, for example, so that you can simultaneously see whether the liver is not breaking down the drug, whether the intestines are not damaged, and whether heart problems develop.”

Studying scars

In the Perspective program, the researchers are focusing in particular on the development of scar tissue: fibrosis. Besides nicely healed scars, fibrosis of organs sometimes progresses into proliferating connective tissue. The area around the organ then plays a major role. It is therefore crucial to include that environment when studying this process in organ-on-chip models. It is precisely this complexity that has so far prevented a good model for studying fibrosis. The team is therefore now building tissue chips from intestines, skin and joints to study the processes at the system level.
Den Toonder: "The NWO Perspective grant gives us the opportunity to bring together the broad multidisciplinary group of scientists you need for such a development with industrial partners, from manufacturing to end users." Den Toonder is a mechanical engineer within the Institute for Complex Molecular Systems (ICMS) at TU Eindhoven.

The right drug for that one patient

In addition to the pharmaceutical industry, the emerging research field of personalized medicine can also benefit greatly from standardized organ-on-chip technology. Drugs are now developed for the average person, and only work for one in four people if you are lucky. There are even drugs on the market that only work for one in twenty people. If you can pre-screen a few potential drugs on cells from the specific patient for whom you are seeking treatment, you can administer the right drug for that specific person immediately.
The new chips are also finding industrial applications outside of pharma. For example, a skin-on-chip to test the side-effects of cosmetics or an intestine-on-chip to test allergies to a new food product. A bonus of organ-on-chip technology will be a considerable reduction in the number of animal tests.

The Dutch organ-on-chip consortium hDMT brought the following partners together for this NWO Perspective program: Amsterdam UMC/VUmc, Delft University of Technology, Eindhoven University of Technology, UMC Utrecht, Leiden University, Maastricht University, Twente University, Wageningen University & Research, 300MICRONS, Applikon, BioLamina, Convergence, Demcon, dsRAT Stichting Proefdiervrij, Galapagos, Genmab, Hy2Care, IBA Lifesciences, ibidi, Life Science Methods, LipoCoat, Micronit Microtechnologies, OnePlanet Research Center/imec, Poietis, PolyVation, provio, Qurin Diagnostics, ReumaNederland, RIVM, Spektrax, TissUse, TNO, Unilever Safety & Environmental Assurance Centre, Ushio INC.

Webinar with dr. Vasso Giagka: "Lowering the Barrier for Customized Micro Systems in Medical Applications"

Webinar: "Lowering the Barrier for Customized Micro Systems in Medical Applications" Dear EUROPRACTICE member, We are delighted to invite you to a webinar organized by EUROPRACTICE together with dedicated to lowering the barrier for customized micro systems in medical applications, which will take place online on March 24, 2021, from 14:00 to 16:00 CET. If you have been following the trends in medical innovations in recent years, you know that microelectronic solutions are revolutionizing the MedTech industry and improving the quality of delivered healthcare and thus patient life tremendously. Whether it is artificial intelligence (AI), augmented reality (AR), or sensing, microelectronic systems play a key role in accelerating these trends in the medical world. For MedTech companies, it is important that microelectronic systems can be customized, but typically this comes at a high cost.

This is where EUROPRACTICE comes in. The consortium lowers the barrier for customized microsystems by providing affordable access to design tools, fabrication services, and training. If you are interested in learning more about how customized microsystems can make the difference for your medical application, then invest 2 hours of your time to learn about EUROPRACTICE and its affordable services. In this webinar, we will particularly zoom in on Application-Specific Integrated Circuits (ASICs) and Photonic Integrated Circuits, and how those can be fabricated and integrated in microsystems for medical applications. The latter will be illustrated by several testimonials/case studies presented by both academia and industry.

Webinar Agenda

1. Introduction by

2. “Overview of Micro Systems in Medical Applications and how EUROPRACTICE can lower the barrier to technology access” - Romano Hoofman (imec)

3. Case Studies

Steve Stoffels (Pulsify Medical) – “Pulsify’s ultrasound monitoring patch: future medical grade wearables enabled by custom components.”

Jan-Willem Hoste (Antelope Dx) – “Antelope Diagnostics: Bringing photonic chip technology to a consumer market”

Pieter Harpe (TU Eindhoven) – “Custom microelectronics for ambulatory pregnancy monitoring and ultrasound catheters”

Vasiliki Giagka (TU Delft) – “Microelectronic chips for bio-electronic medicine: Engineering long-lasting and spatially selective active neural implants”

Bob Puers (KU Leuven) – “Concept for a high resolution neural interface with polymer-CMOS hybrid interconnects”

4. Q&A


INESC MN 2021 Seminar Series - Dr. Tiago Costa, March 5, 16.00 PM

Neurological disorders are the leading cause of disability and the second leading cause of death, worldwide. Still, a paradigm exists in the available therapies: while pharmaceutical drugs are non-invasive but have poor precision and low effectiveness in the long term, therapies based on implantable electrical stimulators have high precision but are also highly invasive, which reduces patient eligibility. For the first time, a minimally invasive and precise neuromodulation modality is emerging through low intensity focused ultrasound (LIFU). However, the hand-held form-factors of existing ultrasound technology, together with its spatial resolution still being 10x lower than implantable electrodes, are hampering advances in both fundamental neuroscience research and the translation to the clinic. In this talk, I will describe my research on stand-alone ultrasonic microchips, by exploring the co-design and integration of CMOS circuits and piezoelectric materials. With massive miniaturization, focused ultrasound can be delivered through more efficient methods (wearable, injectable) while supporting higher ultrasound frequencies towards higher spatial resolution. These advances will contribute to a new generation of ultrasound technology to bring LIFU neuromodulation to the forefront of neuroscience and neurology.

To register see link below:

Geert Leus wins EURASIP Technical Achievement Award

Geert Leus will be this year's recipient of the European Association for Signal Processing (EURASIP)'s Technical Achievement Award.
The award will be presented at EUSIPCO 2021 Dublin, Ireland.

As noted in the announcement by Maria Sabrina Greco, EURASIP Director for Awards,
The Technical Achievement Award honors a person who, over a period of years, has made outstanding technical contributions to theory or practice in technical areas within the scope of the Society, as demonstrated by publications, patents, or recognized impact in this field.

This year’s recipient is Geert Leus, “For contributions to signal processing for communications and sensing".

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TU Delft scores at Olympic Games for chip designers

Kofi Makinwa, professor at TU Delft, explains it as follows: ‘The number of papers accepted prior to the conference is an important measure of the success, as is the number of guest speakers you supply as a university. The total for TU Delft in 2021 is fifteen.’ An achievement that shows that Delft holds a position in the upper echelons of the chip world.

Imaging sensors

Possibly one of the most striking contributions is from Albert Theuwissen. In his keynote speech he takes us into the future of imaging sensors. For the not-so-technical readers: almost all cameras and mobile phones contain an imaging sensor. The quality of this sensor determines the quality of your pictures and how much you can enlarge them. Albert: ‘The CMOS imaging sensors that you see in today's mobile phones are approaching perfection. But this doesn't mean that we won't be needing any more field development. On the contrary, new technologies and materials open new dimensions and new applications that will only supplement and improve the classic imaging functionality of the sensors. Ultimately this trend will transform the landscape of the imaging sensor from imaging to smart vision.’

A computer that goes faster, a phone that gets smarter and smarter – you can't think of anything or Kofi Makinwa has something to do with it. Listen via this link to the (Dutch) podcast episode recently made with him.

Precision amplifiers

This year TU Delft is also scoring highly in the field of analogue electronics. Of the twelve papers accepted on this topic, seven come from TU Delft. Makinwa: ‘When a digital electronic device needs to communicate with the real world, it always needs an analogue interface. An example of such an analogue circuit is an amplifier. An amplifier takes a small signal and converts it into something that is strong enough to power speakers, for example.’

One of the TU Delft researchers specialised in this subject is Qinwen Fan. She has spent several years studying precision amplifiers. These are amplifiers that are capable of accurately processing very small signals. During the ISSCC, Fan will explain the development of precision amplifiers in recent decades. Fan: ‘I will also look at a number of applications, such as measuring battery power or amplifying biomedical signals, for instance from the heart. Finally I will use the many Delft publications of recent years to sketch the development trends. What has happened? And what can we expect?’


Leo de Vreede's team is working on the new generation of wireless telecommunications. One of the goals we are chasing here is to reduce energy consumption. Because the higher the frequency, data speed and coverage of a 5G network, for example, the more energy it uses. Together with Morteza Alavi – Assistant Professor of Electronic Circuits and Architectures – they are working on a revolutionary concept for a digital transmitter that will drastically reduce this energy consumption. A fine example of this is the paper by Mohammad Reza Beikmirza. In his paper, Mohammad demonstrates that this entirely new approach makes it possible to comply with the most stringent 5G requirements using a single integrated circuit, even in the case of considerably lower energy consumption. De Vreede: ‘What we are also seeing is that there is an increasing need for receivers that can flexibly receive different frequencies without being troubled by interference from all kinds of other incoming signals via the aerial.’ Masoud Babaie and Mohammad Ali have developed a tunable receiver for this, that filters all the unwanted signals itself without the need for external filters to pick up all the interference.


And then there is the pioneering work by Fabio Sebastiano and Masoud Babaie (again). Together they are trying to figure out the best way to build and use a quantum computer – a powerful computer that processes information in a totally new way. It is expected that such a quantum computer will eventually open up the doors to all kinds of radical applications, for example being able to find out the best way to use medicines far more quickly. For a quantum computer to work well, qubits need to be cooled to cryogenic temperatures, up to four degrees above zero (Kelvin). Handy to know: quantum bits – also known as qubits – are the building blocks of a quantum computer. Their role can be compared to that of standard bits in a conventional computer. Right now the cooling of these qubits only takes place at room temperature.

According to Sebastiano and Babaie, it should be easy to close this temperature gap with just a couple of wires. This is fine for the small number of qubits now in use, but impractical for the millions of qubits needed for the future quantum computer. During the previous edition of the ISSCC, Sebastiano showed that a CMOS integrated circuit can control qubits, even at -270 degrees Celsius. ‘But,’ explains Sebastiano, ‘controlling qubits is just the beginning. Ultimately you also want to be able to read out the qubits. One of the things we will be showing during this edition of the ISSCC is that the readout circuits can also function at cryogenic temperatures.’

Doing incredibly fast calculations to develop even better new medicines. That is just one of the things that will be possible in the future thanks to a quantum computer. It’s the dream of Fabio Sebastiano. Read more about his dream here:


What can TU Delft be most proud of during this edition of the ISSCC? Makinwa: ‘Of the successful combination of old guard and young talent. Albert Theuwissen, for example, has been working in this field for years, while Bishnu Patra and Bagas Prabowo are still carrying out their PhD research. There is enormous strength in this match of young and old. The entire conference this year is taking place online, from 13 to 22 February. Normally you would spend the week attending various presentations of papers, but this time you can read the papers beforehand and put your difficult questions via internet.


Dave Boomkens

Communications Officer at the Faculty of Electrical Engineering, Mathematics and Computer Science,

+31 6 40 28 75 77

European Microwave Week 2020

Researchers from our Department, specifically from MS3, ELCA, QuTech, and THz groups, played a tremendous role both in the organisation of the event itself, originally planned to take physically place in Utrecht here in the Netherlands, and in the scientific contributions in the diverse fields of automotive technology, radar sensing, and microwave, THz, and quantum components and techniques.

Our scientific contributions included over 6 papers accepted and presented, 7 invited talks at different organised workshops and short courses, and at the Doctoral School and the Automotive Forum.

The most visible roles in the organisation of the even were the General TPC Chair, Prof Yarovoy, and the Treasurer, Dr Lager, plus the many researchers who volunteered as reviewers. Contributors to the scientific program of the conference in invited talks and workshops were also Dr Fioranelli, Dr Spirito, Dr Babaie, Dr Cavallo, Dr Sebastiano, Prof Vaucher, in addition to many PhD candidates and postdocs.

For more information on the event proceedings with papers and workshops, look at

‘Rapid developments of LEDs offers all kinds of medical potential’

You can use ultraviolet light from LEDs to combat coronavirus. But it’s not as simple as commercial providers are presenting it right now, concludes Professor Kouchi Zhang. On the need for a sound scientific basis and the potential for LEDs in medical applications.

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Cardiac mapping of very young children reveals conduction disorders related to atrial fibrillation

Research of Medical Delta professor prof. dr. Natasja de Groot (Erasmus MC and TU Delft)

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Albert Theuwissen plenairy spreaker ISSCC 2021 (International Solid-State Circuits Conference )


There’ s more to the picture than meets the eye, and in the future it will become only much more


Over the past five decades, solid-state imaging has gone through a difficult “childhood”, changing technology during its “adolescence”, and finally growing up to become a mature, “adult” technology that can compete with the human visual system when it comes to image quality. State-of-the-art mobile devices enjoyed by consumers, rely on a multi-disciplinary mixture of analog electronics, digital circuits, mixed-signal design, optical know-how, device physics, semiconductor technology and algorithm development. As a result, the CMOS image sensors utilized in today’s mobile phones come close to perfection as far as imaging characteristics are concerned. However this does not mean that further developments in the field are no longer necessary. On the contrary, new technologies and new materials are opening up new dimensions and new applications which complement the classical imaging functionality of the sensors. This trend will ultimately convert the image sensor landscape from image capturing to smart vision. Consequently, the future of solid-state imaging will not revolve around the shooting of beautiful images only, as the market driver will no longer only be limited to the mobile phone market.

Delft Bioengineering Institute awards Tiago Costa and Massimo Mastrangeli with 20KEUR grants

Dr. Tiago Costa (BE) and Dr. Massimo Mastrangeli (ECTM) have been awarded grants of 20KEUR by the Delft Bioengineering Institute (BEI) to pursue their research projects on ultrasound-based regeneration of neuronal circuits and medical implants to investigate cell mechanobiology, respectively.
Their multidisciplinary project proposals, conceived to bridge expertise among different departments within TU Delft, are among the 5 selected for the grants out of the 13 total submissions received by the BEI in response to their first call for proposals.
The projects will be run respectively in collaboration with Dr. Dimphna Meijer (TNW/BN) and Dr. Mohammad J. Mirzaali (3mE/BM).
Below are short summaries of the projects.

Regenerating neuronal circuits using ultrasound

People suffering from neurodegenerative disorders such as Alzheimer’s, Parkinson’s Disease and Multiple Sclerosis, have impaired neuronal circuits. Generation of new neuronal circuits by using a patient’s own stem cells may prove helpful in treating the disease. One of the difficulties in inducing neurons from stem cells, is the low efficiency rate we are able to achieve so far. In this project, BEI PIs Tiago Costa of Microelectronics (EWI) and Dimphna Meijer of Bionanoscience (TNW) join forces to explore the use of ultrasound for effectively building active neuronal networks from stem cells.

Project title: SoundCircuit: Regeneration of neuronal circuits using ultrasound
BEI PIs: Tiago Costa (EWI/ME), Dimphna Meijer (TNW/BN)

Medical implants to investigate cell mechanobiology

In order to study the cell’s behavior and differentiation, we need to be able to measure the mechanical, electrical, and biochemical signals that are dynamically transmitted throughout the cells. This requires the creation of biomaterial models equipped with different sensor types. In this project, BEI PIs Mohammad J. Mirzaali of Biomechanical Engineering (3mE) and Massimo Mastrangeli of Microelectronics (EWI) will team up to design, fabricate and test the proof-of-concept for medical implants equipped with force sensors that can reach a sensitivity level of one micronewton, so the mechanobiology of cells can be effectively investigated.

Project title: Sixth Sense Biomaterials
BEI PIs: Mohammad J. Mirzaali (3mE/BM), Massimo Mastrangeli (EWI/ME)

Read the full story on the TU Delft page.


New Associate Professor: Justin Dauwels

Per 1 January 2021, Prof. Dauwels starts at CAS. His expertise is in statistical signal processing and machine learning. Welcome!

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EUSIPCO 2020 - virtual event on 18-22 January 2021

The organizing committee of EUSIPCO 2020 has decided that EUSIPCO 2020 will be a full virtual conferencedue to the on-going COVID-19 pandemic and resulting travel restrictions.

We are excited to be able to provide a virtual venue for EUSIPCO 2020 and hope you will join us and learn about the latest developments in research and technology for signal processing.

Please register today for a reduced fee of E 50, or sign up for one of the tutorials for E 25.

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Microimplants: electricity instead of pills

Interview in MEDICA Magazine with Prof. Vasiliki Giagka, Group Leader "Technologies of Bioelectronics", Fraunhofer Institute for Reliability and Microintegration IZM and Assistant Professor of Bioelectronics, Delft University of Technology

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CAS startup Innatera Nanosystems raises €5 million

Innatera, started by CAS members Sumeet, Amir and Rene, is making the next step

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Professor Wouter Serdijn legt in het consumenten programma Radar het bedrog achter de Healy bloot

See the program

EuMW Announces Virtual Event for EuMW 2020

In light of the global pandemic, growing numbers of cases in Europe, and related measures imposed by the respective authorities, European Microwave Week (EuMW) organizers have decided to make EuMW 2020 a virtual event this year while simultaneously planning for the next in-person event in London in October of 2021. EuMW 2020 includes the European Microwave Conference, the 15th European Microwave Integrated Circuits Conference, and the 17th European Radar Conference.

EuMW is organized by Horizon House on behalf of the European Microwave Association (EuMA), an international non-profit association with a scientific, educational and technical purpose. Earlier this year, event managers postponed the live, in-person event in Utrecht, The Netherlands to 10-15 January 2021 in the hopes that the global pandemic would have subsided by then. It has now become evident that it would be extremely difficult to safely gather attendees and exhibitors in person this year.

Event management has selected the vFairs platform to host the conference and virtual exhibit. VFairs is an immersive environment that allows users to comfortably browse content, network with exhibitors or peers, and attend live webinars with only a few clicks.

“As the next best thing to an in-person conference, we have now embraced all the good things that a virtual conference can bring. I am excited to make this happen!" said Frank van Vliet, EuMW 2020 General Chair. The EUMW 2020 virtual event will begin on 10 January 2021 and last until 15 January 2021. Attendees can access conference sessions and visit the virtual booths until 5 February. The event management team is reaching out to exhibitors and speakers now to arrange for the transition to a virtual program for EuMW 2020.

“Individuals and business worldwide are quickly adapting to the pandemic. Fortunately, the options for virtual events have improved considerably over just the last few months. End users have much more experience and comfort with virtual events than before COVID. Although nothing can replace the experience of a live conference and exhibition, we are confident that the virtual EuMW 2020 will be a great show for the microwave and RF community,” said Ivar Anderson Bazzy, President of Horizon House.

"We all want to see each other in person again, chat, talk, drink and eat together, exchange latest information but also gossips, etc. That is why we decided to keep a live event in Utrecht alive as long as possible until it really was no longer possible. The alternative, a full virtual conference and trade-show is now becoming a reality. I am sure that we can create an event with the same look and feel as the original live event, with many options for interaction and virtual meeting places while not compromising in quality. Don't miss it, it will be a unique event in the best traditions of EuMW where you can find information that you don't find anywhere else. Follow our posts on social media to stay up to date," said Frank van den Bogaart, President of EuMA.

The technical program remains robust with plans to transition all scheduled talks to the vFairs conference platform. The conference program is available here:

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Veni for Dr. Matús Rybak

His research;

Zooming in on star factories in the early Universe

Observatory Will a star feel a difference between being born in Orion today, or in a dusty “star factory” galaxy 10 billion years ago? In this project, astronomers will use a new nanotechnology-powered instrument and magnification by gravity to understand the formation of new-born stars in the early universe.

New sensor chips; low-cost, smart and efficient

In a greenhouse, cucumbers are growing beautifully. A grower is cultivating them under the most favourable conditions, closely monitoring the precise amount of water they need and whether the temperature is optimal, to ensure that the cucumbers that end up on your plate are juicy, flavoursome and green. The grower’s job is by no means carefree, however. What if the crop is blighted by some disease? One of the strategies that researchers are working on to prevent this involves an “electronic nose”. All plants, cucumbers included, emit a scent. An electronic nose can immediately detect whether something is wrong. The same technique can be applied in a chicken coop or cowshed. As soon as a disease breaks out, the electronic nose will detect it and give a warning.

For complete article;

Treating your disorder with electronic medicines

Increasing numbers of people now have a chip in their body which they can use to make payments or check in to public transport. “It sounds futuristic, but the technology is not that extraordinary”, explains Prof. Wouter Serdijn. “My dog has something similar.”

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The Matlab code has been published on the Code Ocean web-site

Jianping Wang published the Matlab codes for the article "3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration Algorithm":

Professor Ir. Leendert (Leo) Krul passed away

Met innig medeleven hebben wij kennins genomen van het overlijden van Prof. Ir. Leendert (Leo) Krul. Met grote vakkundigheid en toewijding heeft hij een enorme bijdrage geleverd aan het vakgebied “Telecommunicatie” voor de TU Delft. Wij wensen de familie veel sterkte met dit verlies.

With heartfelt sympathy, we have taken note of the death of Prof. Ir. Leendert (Leo) Krul. With great skill and dedication, he has made an enormous contribution to the field of “Telecommunication” for TU Delft. We wish the family much strength with this loss.

Michiel Pertijs will present at ESSCIRC/ESSDERC Virtual Educationals

Michiel will contribute to the upcoming ESSCIRC/ESSDERC Virtual Educational events (see He will give an invited talk in the Workshop on Emerging Solutions for Imaging Devices, Circuits and Systems. In his talk, Michiel will show how integrated circuits play an enabling role for the next generation of smart ultrasound devices. The ESSCIRC/ESSDERC Virtual Educational events are available online between Sept. 7 and Oct. 16, with a live sessions on Sept. 14 and 15.

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CUM LAUDE PhD Defense – Yanki Aslan

On Wednesday, August 26th, 2020 Yanki Aslan, the Ph.D. candidate in the MS3 group, successfully defended his Ph.D. work entitled “Antenna Array Synthesis and Beamforming for 5G Applications: An Interdisciplinary Approach” and graduated cum laude.

Congratulations to Yanki for this excellent result!

Now dr. Aslan will continue to work within the MS3 group as a postdoctoral researcher on a project in collaboration with the European Space Agency (ESA).


Realization of the future 5G systems requires the design of novel mm-wave base station antenna systems that are capable of generating multiple beams with low mutual interference while serving multiple users simultaneously using the same frequency band. Besides, small wavelengths and high packaging densities of front-ends lead to overheating of such systems, which prevents safe and reliable operation. Since the strict cost and energy requirements of the first phase 5G systems favor the use of low complexity beamforming architectures, computationally efficient signal processing techniques, and fully passive cooling strategies, it is a major challenge for the antenna community to design multibeam antenna topologies and front-ends with enhanced spatial multiplexing, limited inter-beam interference, acceptable implementation complexity, suitable processing burden, and natural-only/radiative cooling.Traditionally, array design has been performed based on satisfying the given criteria solely on the radiation patterns (gain, side lobe level (SLL), beamwidth etc.). However, in addition to the electromagnetic aspects, multi-beam antenna synthesis and performance evaluation in 5G systems at mm-waves must combine different disciplines, including but not limited to, signal processing, front-end circuitry design, thermal management, channel & propagation and medium access control aspects. Considering the interdisciplinary nature of the problem, the main objective of this research is to develop, evaluate and verify innovative multibeam array techniques and solutions for 5G base station antennas, not yet used nor proposed for mobile communications. The research topics include the investigation of (i) new array topologies, compatible with IC passive cooling, including sparse, space tapered arrays and optimized subarrays, meeting key requirements of 3-D multi-user coverage with frequency re-use and power-efficient side-lobe control, (ii) adaptive multiple beamforming strategies and digital signal processing algorithms, tailored to these new topologies, and (iii) lowcost/competitive and sufficiently generic implementation of the above array topologies and multi-beam generation concepts to serve multiple users with the same antenna(s) with the best spectrum and power efficiencies. This doctoral thesis consists of three parts. Part I focuses on the system-driven aspects which cover the system modeling (including the link budget and precoding), propagation in mm-wave channels, and statistical assessment of the Quality of Service (QoS). Although separate comprehensive studies exist both in the field of propagation/system modeling and antennas/beamforming, the link between the two disciplines is still weak. In this part, the aim of the study is to bridge the gap between the two domains and to identify the trade-offs between the complexity of beamforming, the QoS, and the computational cost of precoding in the 5G multi-beam base station arrays for various use cases. Based on the system model developed, a novel quantitative relation between the antenna SLLs/pattern nulls and the statistical QoS is established in a line-of-sight (LoS) dominated the mm-wave propagation scenario. Moreover, the potential of using smart (low in-sector side-lobe) array layouts (with simple beam steering) in obtaining sufficiently high and robust QoS, while achieving the optimally low processing costs is highlighted. For a possible pure non-line-of-sight (NLoS) scenario, the system advantages (in terms of the beamforming complexity and the interference level) of creating a single, directive beam towards the strongest multipath component of a user are explained via ray-tracing based propagation simulations. The insightful system observations from Part I lead to several fundamental research questions: Could we simplify the multiple beamforming architecture while keeping a satisfying QoS? Are there any efficient yet effective alternative interference suppression methods to further improve the QoS? How should we deal with the large heat generation at the base station? These questions, together with the research objectives, form the basis for the studies performed in the remaining parts. Part II of the thesis focuses on the electromagnetism-driven aspects which include innovative, low-complexity subarray based multibeam architectures and new array optimization strategies for effective SLL suppression. The currently proposed multi-beam 5G base stations in the literature for beamforming complexity reduction use either a hybrid array of phased subarrays, which limits the field-of-view significantly or employ a fully-connected analog structure, which increases the hardware requirements remarkably. Therefore, in the first half of this part, the aim is to design low-complexity hybrid (or hybrid-like) multiple beamforming topologies with a wide angular coverage. For this purpose, two new subarray based multiple beamforming concepts are proposed: (i) a hybrid array of active multiport subarrays with several digitally controlled Butler Matrix beams and (ii) an array of cosecant subarrays with a fixed cosecant shaped beam in elevation and digital beamforming in azimuth. Using the active (but not phased) multiport subarrays, the angular sector coverage is widened as compared to that of a hybrid array of phased subarrays, the system complexity is decreased as compared to that of a hybrid structure with a fully-connected analog network, and the effort in digital signal processing is reduced greatly. The cosecant subarray beamforming, on the other hand, is shown to be extremely efficient in serving multiple simultaneous co-frequency users in the case of a fairness-motivated LoS communication thanks to its low complexity and power equalization capability. Another critical issue with the currently proposed 5G antennas is the large inter-user interference caused by the high average SLL of the regular, periodic arrays. Therefore, in the second half of Part II, the aim is to develop computationally and power-efficient SLL suppression techniques that are compatible with the 5G’s multibeam nature in a wide angular sector. To achieve this, two novel techniques (based on iterative parameter perturbations) are proposed: (i) a phase-only control technique and (ii) a position-only control technique. The phase-only technique provides peak SLL minimization and simultaneous pattern nulling, which is more effective than the available phase tapering methods in the literature. The position-only technique, on the other hand, yields uniform-amplitude, (fully-aperiodic and quasi-modular) irregular planar phased arrays with simultaneous multibeam optimization. The latter technique combines interference-awareness (via multibeam SLL minimization in a predefined cell sector) and thermal-awareness (via uniform amplitudes and minimum element spacing constraint) for the first time in an efficient and easy-to-solve optimization algorithm. Part III of the thesis concentrates on the thermal-driven aspects which cover the thermal system modeling of electronics, passive cooling at the base stations, and the role of antenna researchers in array cooling. The major aim here is to form a novel connection between the antenna system design and thermal management, which is not yet widely discussed in the literature. In this part, an efficient thermal system model is developed to perform the thermal simulations. To effectively address the challenge of thermal management at the base stations, fanless CPU heatsinks are exploited for the first time for fully-passive and low-cost cooling of the active integrated antennas. To reduce the size of the heatsinks and ease the thermal problem, novel planar antenna design methodologies are also proposed. In the case of having a low thermal conductivity board, using a sparse irregular antenna array with a large inter-element spacing (such as a sunflower array) is suggested. Alternatively, for the densely packed arrays, increasing the equivalent substrate conductivity by using thick ground planes and simultaneously enlarging the substrate dimensions is proven to be useful. The performed research presents the first-ever irregular/sparse and subarray based antennas with wide scan multi-beam capability, low temperature, high-efficiency power amplifiers, and low level of side lobes. The developed antenna arrays and beam generation concepts could have also an impact over a broad range of applications where they should help overcome the capacity problem by use of multiple adaptive antennas, improve reliability and reduce interference.

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New project: PCaVision

Prostate cancer detection using ultrasound

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Best student paper award VLSI Symposium for PhD Efraïm Eland

At the 2020 VLSI Symposium, Efraïm Eland got selected for the 2020 Best Student Paper Award! He will receive the award at the 2021 VLSI Symposium in Kyoto, Japan. The award was for the design of a high dynamic range zoom ADC for audio applications with state-of-the-art energy-efficiency in audio ADCs. Shoubhik Karmakar, Burak Gönen, Robert van Veldhoven and Kofi Makinwa were co-authors, and the work was done in collaboration with NXP Semiconductors. The resulting paper can be found here.

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SSCS WYE Webinar

Webinar: To Academia, or to Industry, That is the Question. Presented by: Kofi Makinwa and Shin-Lien Lu


You are about to finish graduate school or perhaps a young or seasoned professional, contemplating a career transition. Which is better - a career in academia or industry? What are the pros and cons of one versus the other? How can you start exploring and build up your career accordingly? In this webinar, we will interview Dr. Linus Lu, a professor-turned-industry veteran, and Prof. Kofi Makinwa, an industry veteran-turned-professor, who will share their insights and perspectives from their personal journeys in both academia and industry careers. They will also address what triggered their transitions, how they staged their transitions, and offer their crystal ball projections on present and future career prospects in the solid-state-circuits profession.


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Cum Laude PhD Defense Sven van Berkel

The research

In millimeter and submillimeter-wave radiometric imaging systems, a persistent goal is the increase in the speed of acquisition of the image while maintaining a high sensitivity. Typically, the highest sensitivity is achieved by cryogenically cooling the detectors, specifically in astronomical applications. However, for the purpose of low-cost imaging applications, it is desirable to operate at room temperature. Without cryogenically cooling, the electronic noise introduced by the detectors becomes dominant, making the detectors less sensitive. In this thesis focal plane architectures are proposed that maximizes the imaging speed of radiometers operating at room temperature without using any amplification circuitry. It is shown that in such scenario a practical image acquisition speed can still be achieved when a very broad portion of the THz-band is exploited. Ultimately, the imaging speed is maximized when the FPA is undersampled, implying a tradeoff in the size of the optics. The analysis is substantiated by a case study with recently developed wideband leaky lens antenna feeds operating from 200 to 600 GHz. THe entire front end has been developed, fabricated (CMOS Technology) and characterized, demonstrating the complete feasibility of passive imaging in the THz frequencies at neglibile costs. The implications for the automotive and security applications are dramatic, as detecting obstacles in fog, and spotting concealed weapons or bombs can now be done at negligible costs (tens of euros). That these systems will be in our future lives is now sure. When this will happen, as usual, will depend on the market request.

Future Dr. Sven van Berkel

Sven has already signed a contract at NASA, in California where he will start working as soon as the Covid lockdown stops.

Max Schöpe wins 3rd prize in student paper competition at FUSION 2020

PhD student Max Schöpe won the 3rd prize in the student paper competition at this year’s edition of the International Conference on Information Fusion (FUSION) for his paper “Multi-Task Sensor Resource Balancing Using Lagrangian Relaxation and Policy Rollout”.

For more than 20 years the FUSION conference has been recognised as a premier forum for researchers and practitioners to exchange ideas in the field of information fusion and its impacts on our society. The presented papers cover foundational, technological, and application-focused innovations in the sensor, data, information and knowledge fusion scientific domains. This year 169 papers were accepted and presented at the conference in total.

Moore4Medical kicks off

The ECSEL Joint Undertaking Moore4Medical kicked off last June, 2020 with the overarching objective to accelerate innovation in electronic medical devices. Moore4Medical is masterminded by prof. Ronald Dekker (Philips Research & ECTM) and sees important involvement and vast opportunities for TU Delft’s Microelectronics department.

The project addresses emerging medical applications and technologies that offer significant new opportunities for the Electronic Systems & Components (ECS) industry, including: bioelectronic medicines, organ-on-chip, drug adherence monitoring, smart ultrasound, radiation free interventions and continuous monitoring. The new technologies will help fighting the increasing cost of healthcare by reducing the need for hospitalisation, helping to develop personalized therapies, and realising intelligent point-of-care diagnostic tools.

Moore4Medical will bring together 66 selected companies, universities and institutes from 12 countries who will develop open technology platforms for these emerging fields to help them bridge “the Valley of Death” in shorter time and at lower cost. Open technology platforms used by multiple users for multiple applications with the prospect of medium-to-high volume markets are an attractive proposition for the European ECS industry. The combination of typical MedTech and Pharma applications with an ECS style platform approach will enhance the competitiveness for the emerging medical domains addressed in Moore4Medical. With value and IP moving from the technology level towards applications and solutions, defragmentation and open technology platforms will be key in acquiring and maintaining a premier position for Europe in the forefront of affordable healthcare.

TU Delft’s Microelectronics department leads two of the six workpackages represented in Moore4Medical: the Implanatable Devices workpackage, led by Dr. Vasiliki “Vasso” Giagka (BE & Fraunhofer IZM), and the Organ-on-Chip workpackage, led by Dr. Massimo “Max” Mastrangeli (ECTM). Both workpackages will see the interaction and contribution of many world-class industrial and academic players to develop respectively bioelectronic medicines and smart multi-well plate platforms, and will provide a rich opportunity to capitalize on and further expand the standing expertise of the BE and ECTM groups of the department.

We wish Moore4Medical success!

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Andra Velea wins Audience Award of the Young Medical Delta Thesis Awards

We are proud to announce that the MSc thesis of Andrada Velea on the development of 'Flexible Passive and Active Graphene-based Spinal Cord Implants' won the audience award of the Young Medical Delta Thesis Awards 2020 with 418 out of the 1024 votes. The research theme is a successful synergy of the expertises of the ECTM and BE sections, and was supervised by Vasiliki Giagka and Sten Vollebregt. Andrada’s work has led to 2 IEEE conference publications, among which the prestigious 33rd IEEE International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2020), which took place earlier this year in Vancouver. We would like to congratulate her for this great achievement.

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Medical Delta Professors appointed

Medical Delta appointed 9 new MD Professors, with joint appointments at LUMC and TU Delft, or Erasmus MC and TU Delft. Three of these are connected to the MicroElectronics Department: Wouter Serdijn, Andrew Webb, and Natasja de Groot.

Prof. Dr. Natasja de Groot (Erasmus MC, TU Delft) researches the use of sensors and catheters to more accurately diagnose and treat cardiac arrhythmias. At TU Delft, she will have an affiliation with CAS and BE.

Prof. Dr. ir. Wouter Serdijn (TU Delft, Erasmus MC) researches the use of bioelectronics in medical research. At EMC, he will have an affiliation with Neuroscience.

Prof. Dr. Andrew Webb (LUMC, TU Delft) researches how imaging can be more widely available for medical purposes. He is a professor in MRI at LUMC, and already had a part-time appointment at CAS.

The new Medical Delta professors introduce themselves and their research in a short video. This can be viewed here:


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Impulse health & technology research with nine new Medical Delta professors

Prof. Dr. ir. Wouter Serdijn researches the use of bioelectronics in medical research (part of Medical Delta Cardiac Arrhythmia Lab and Medical Neurodelta)

Medical Delta Cardiac Arrhythmia Lab

Cardiac arrhythmia is the cardiovascular epidemic of the 21st century. The number of patients diagnosed with cardiac arrhythmia is rapidly increasing due to ageing, obesity, diabetes and elevated blood pressure. Atrium fibrillation is the most common arrhythmia. It is a progressive disease, which means that episodes of arrhythmia progress from short-lasting episodes to episodes which are continuously present and no longer terminate spontaneously. Atrium fibrillation may cause stroke and heart failure and is even associated with death.

Treatments are often not successful, but a new patient-specific therapy can improve existing treatments. This can be achieved by measuring the degree of electropathology (‘staging the arrhythmia’). However, this is still not yet possible because there are no diagnostic tools to measure electropathology. It is therefore also not possible to recognize patients at risk of arrhythmia early. In addition, there are no therapies specifically targeting electropathology.

Treatment of Arrhythmia

Electrical signals recorded from young hearts usually have a simple morphology, as electrical waves propagate smoothly through cardiac tissue. Over the years, these electrical signals may become more complex (electropathology) due to damaged cardiac tissue. When the degree of electropathology exceeds a certain threshold, cardiac arrhythmia may occur.

Treatment of cardiac arrhythmia is still often not successful, says Natasja de Groot, professor and cardiologist-electrophysiologist at Erasmus MC. Current treatment consists of either an ‘electrical shock’ to restore the normal heart rhythm, drugs or ablative therapy (eliminating the cardiac tissue that is causing arrhythmia). Unfortunately, these therapies have side-effects and are only moderately effective.

Unravel electropathology

The aim of the Medical Delta Cardiac Arrhythmia Lab is to reduce the cardiac arrhythmia burden by unravelling arrhythmia-related electropathology and designing and testing novel bio-electrical diagnostic tools and therapies targeting electropathology. This enables staging of the cardiac arrhythmia and selection of the appropriate treatment in the individual patient, thereby improving therapy outcome.

A first step is to unravel electropathology by quantifying electrical parameters. For this purpose, a 192 electrode-array has been designed to record electrical signals directly from the surface of the heart during open heart surgery. Advance signal processing techniques are then used to comprehend electrical activation patterns during arrhythmia. Linking electrical signals with the structure of cardiac tissue is essential to unravel the mechanisms of arrhythmia. The future goal is to assess the degree of electropathology using non-invasive mapping techniques.


To further unravel the mechanisms of arrhythmia, this consortium aims to design an arrhythmia-on-a-chip platform enabling the investigation of electrical conduction in relation to e.g. genetic defects.


This program is a collaboration betwee biologists, engineers and medical doctors from Erasmus MC, LUMC and TUDelft. They combine their unique expertise on advanced signal recording and processing techniques, cardiac mapping tools and arrhythmia related molecular mechanics.

TU Delft launches first eight TU Delft AI Labs

TU Delft is setting up eight new AI Labs to investigate how artificial intelligence (AI) can accelerate scientific progress. To this end, scientists researching AI will be working together with scientist who use AI in their research. The first of these eight interdisciplinary AI labs will be followed by another sixteen in the course of 2020 and 2021.

Rapid developments in AI, data science and digitalisation can accelerate scientific progress in all fields, ranging from medical science to infrastructural research, and across all levels, from fundamental to applied research. TU Delft is boosting collaboration between AI scientists and scientists in other domains, with the launch of a series of TU Delft AI Labs.

Within the MACHINA Lab, for example, researchers in machine learning work together with materials scientists on the analysis of existing materials and the development of new materials. Within the AidroLab, researchers in geometric deep learning are working with researchers in water management on subjects such as how to improve flood forecasting in the urban environment. Researchers in the CiTyAI-Lab will use a wide variety of data sources to map the impact of the city's 'fabric' on its inhabitants in order to improve the living environment.


AI-related knowledge is indispensable for future generations of engineers and scientists. That is why the labs also aim to strengthen education in the field of AI, data sciences and digitalisation, and to create links with educational programmes in various scientific domains.


TU Delft plans to double its budget in the field of AI, data & digitalisation to 70 million euros per year. These funds will be used for the recruitment of talented researchers, the establishment of research units, the development of educational programmes on AI, data and digitalization, and on the strengthening of collaborations, partnerships and networks.

DeTAIL: Delft Tensor AI Lab

The DeTAIL research lab was proposed by Bori Hunyadi (CAS) and Kim Batselier (3mE), and studies training and innovation in tensor-based AI methods for biomedical signals.

Real-life biomedical data is often high-dimensional. Current signal processing solutions artificially segment such high-dimensional data into shorter one- or two-dimensional arrays, causing information loss by destroying correlations between these data. At the same time, advances in biomedical sensor and imaging technology – such as substantially larger recording durations of wearable sensor technology and the unprecedented increase in spatial and temporal resolution of the latest neuroimaging techniques – have led to ever increasing data sets. Tensors (multi-dimensional arrays) are the data structure of choice in artificial intelligence research to exploit the full potential of these data in a timely manner.

Within the DeTAIL Lab, we focus on both the development and application of novel low-rank tensor methods for biomedical signal processing, thereby enabling a much faster training of AI models from large datasets without any loss of accuracy.

We will exploit an as of yet unused property of real-life data; the fact that different modes of data may be correlated. Using tensor decompositions, we can find these correlations as well as compress the data, speeding up computations significantly.

Our findings will, for example, be applied to detect events, such as epileptic seizures, through the classification of multichannel time series data based on labelled training data. We also aim to reveal hidden structure, such as functional networks, in neuroimaging data. As biomedical innovation is a defining characteristic of the TU Delft, we will develop an interfaculty elective course on AI tensor methods to satisfy the expected continual increase in demand for such knowledge

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In Memoriam – Earl McCune (1956 – 2020)

In one of his last interviews, Earl told us that he was willing to fight a few persistent beliefs in the field of wireless communication. For instance, he was busy making 5G more energy efficient. A challenge in which, according to Earl, all links in the communication chain need to be overhauled. Being both a professor at TU Delft and entrepreneur in California, Earl was involved in several major projects in this field. In Silicon Valley, he followed the idea of building a single large switch in which the available power varies each time. At TU Delft he worked with various groups on a solution consisting of hundreds of smaller transistors of variable size.

The love for building things

One evening, when Earl was twelve, his father explained a few months’ worth of network theory of electrical circuits to him. From that moment on, Earl became enchanted by the subject. As a result, he worked on technology development in the field of radiofrequency and wireless design for more than 45 years, most of which he spent in industry. ‘I just love to build things,’ Earl told about that, ‘and I have seen a lot of what works, and what doesn’t work.’ Although he actually enjoyed his early retirement in California, he couldn’t do nothing. Because he still wanted to help solve society’s problems, he accepted a position as professor at TU Delft.

Warm personality

Earl will not only be remembered for his boundless enthusiasm for the improvement of systems, and the inexhaustible amount of knowledge he brought with him; more than that, Earl was a mentor, an inspirer, an adventurer and a warm personality who put a smile on many people's faces with his dry sense of Californian humour.

Opening Airport Technology Lab

The Airport Technology Lab (ATL)

This Friday, May 29 at 15:30, the opening of the Airport Technology Lab will be done by Ron Louwerse (Director of the Rotterdam The Hague Airport), Prof. dr. ir. Tim van der Hagen (President of the Board and Rector Magnificus of TU Delft) and Henk Jan Gerzee (Chief Digital Officer of the Royal Schiphol Group).

The Microwave Sensing, Signals, and Systems section (Department of Microelectronics, EEMCS faculty), chaired by Professor DSc. Alexander Yarovoy, participates in the Laboratory and is going to use their professional expertise and advanced radar facilities to develop modern remote sensing techniques to extend the sensing capability of airport radars for constant weather monitoring. This real-time monitoring with high spatial and temporal resolution is aiming to improve air traffic planning (departing/arriving on time, less fuel, less noise, less pollution, etc.) and safety.

The Airport Technology Lab (ATL) is an organization for the development, test, and demonstration of the innovative products and services for airports. The digitization of everything that happens at airports and the application of Artificial Intelligence is increasing exponentially. With all that data and the right IT platform, companies can create and test new services and products. The most successful innovations will help to provide passengers with more comfort and convenience, make the airliners maintain smoother and more efficient flights, and the handlers will optimize their processes. Ultimately, the airport also contributes (extra) to its social responsibility to reduce air pollution, CO2 emissions and noise pollution.

ECTM developing UVC LED test system to study virus disinfection

Read the interview with Tianyi Jin who, together with 3 MSc students, the group of Professor Fouchier of the Erasmus MC, and supported by the TUDelft COVID-19 fund, is developing a platform to test the disinfecting power of UVC LEDs.

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Professor Wouter Serdijn appointed as Medical Delta Professor

Since 2011 Medical Delta professorships have been established and approved by the executive board of Delft University of Technology, Erasmus University Rotterdam and Leiden University. At the moment 13 professors are active as Medical Delta professor.

A Medical Delta professorship is an honorary title for those who meet the requirements that they have double appointments at, at least, two of the three universities participating in Medical Delta and are active in research and teaching in a way that makes a Medical Delta appointment appropriate.

In the last year the board of Medical Delta together with the scientific council of the Medical Delta and governors of the academic knowledge institutes developed a process to identify the professors that fulfil these criteria. Based on this process a number of professors have been identified to be eligible for this honorary title of which professor Wouter Serdijn is one.

Kleine Stromstöße mit heilsamer Wirkung (Eng: Small surges of electricity with a healing effect)

Winzige Chips statt Medikamente – leitet die „Bioelektronik“ eine neue Ära der Medizin ein? Ein Überblick über die neuen Ansätze (Eng: Tiny chips instead of medication - does "bioelectronics" usher in a new era of medicine? An overview of the new approaches). Article by Susanne Donner with, a.o. Vasiliki Giagka in Der Tagespiegel.

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How smart sensors can prevent epilepsy

In Delft and Rotterdam, Wouter Serdijn and Christos Strydis are collaborating on a network of sensors and stimulators for the body. By picking up signals and sending the brain a rapid wake-up call, they hope to be able to predict and prevent epileptic fits. ‘If we can close the loop, we’ll have the technology ready within three years.’ Article in Nodes, with Christos Strydis and Wouter Serdijn.

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Bachelor student Dewwret Sitaldin wins first prize 3-E Royal SMIT BSc prize


The main goal of this Electrical Engineering Bachelor project is to build a solar-power system for a quad-copter that will extend its battery life or rather its flight time. The complete system is comprised of a PV system (PV), a micro-controller (MC) and a DC/DC converter (DC) which was mounted onto the drone. On each subsystem, a separate thesis was written and this paper serves as a general yet complete overview of the design process, simulations and test results of a fully functioning solar drone with the theses attached as appendices for reference.

The original (optimistic) aim of an extension of at least 25% of the battery lifetime was set by our supervisors. For the PV part SunPower C60 IBC cells were used (no specific selection was done) together with a (borrowed) custom-built drone (not built by this team, it was borrowed from another research group) as a starting point. After analysing the limitations of the drone and the cells, multiple configurations were designed and a mathematical model that determines power usage, energy costs per solar cell and the optimum amount of cells was developed. A SEPIC converter will extract solar energy from a PV-module in order to charge the battery of the drone. The converter will be controlled by the micro-controller subgroup using MPPT (Maximum Power Point Tracker) algorithm and this will be done by supplying a PWM signal to the converter.

Since the drone was not specifically designed for the project (thus not optimised when it comes to lift capacity and room for cell placement), the efficiency of the solar cells was not sufficient to extend the fight time by 25% (15.1% in summer, 5.6% in winter). Since these bottlenecks can easily be eliminated by replacing the drone and the cells, these results serve as a proof of concept and are an excellent starting point for future research

Outstanding TU Delft score at ISSCC 2020

This year's iteration of the world's top conference in IC design, the International Solid-State Circuit Conference (ISSCC 2020), saw the TU Delft represented by no less than 7 papers from the Department of Microelectronics - an outstanding achievement that does not even include 3 additional papers presented by former TU Delft alumni, currently affiliated with Bosch, ADI and SiTime.

ME's papers were in the following areas:

Precision Analog Circuits (Makinwa): An energy-efficient temperature sensor and an accurate frequency references, both with state-of-the-art (SOTA) performance;
Amplifiers (Fan, Pertijs, Makinwa): A class-D power amplifier (SOTA linearity and efficiency) and an amplifier for ultrasound systems with continuously variable gain (a first);
Circuits for Quantum computers (Sebastiano, Babaie): A multi-qubit controller (capable of handling 128 qubits, also a first) and a high-performance oscillator (also a first!), both operating at 4K;
Human computer interfaces (Pertijs): A chip-set that enables pen/finger-driven electronic white-boards with SOTA resolution and frame rate;

Some more stories made this event additionally special:

• The TU Delft was the largest European contributor to the conference;
• TU Delft's PhD student Jeroen van Dijk participated in the 1st ever ISSCC Quiz show!

Congratulations to all co-authors and PIs for this great collective achievement!

List of contributions:

Ç. Gürleyük, S. Pan and K. A.A. Makinwa,
"A 16MHz CMOS RC Frequency Reference with ±400ppm Inaccuracy from 45°C to 85°C After Digital Linear Temperature Compensation";

S. Karmakar, H. Zhang, R. Van Veldhoven, L. Breems, M. Berkhout, Q. Fan and K. A.A. Makinwa,
"A 28W, -108.9dB/-102.2dB THD/THD+N, Hybrid ΔΣ-PWM Class-D Audio Amplifier with 91% Peak Efficiency and Reduced EMI Emission";

S. Pan and Kofi A.A. Makinwa,
"A CMOS Resistor-Based Temperature Sensor with a 10fJ∙K2 Resolution FoM and 0.4°C (3σ) Inaccuracy From −55°C to 125°C after a 1-point Trim";

E. Kang, M. Tan, J.-S. An, Z.-Y. Chang, P. Vince, N. Sénégond, T. Mateo, C. Meynier and M. Pertijs,
"A 2 pA/√Hz Transimpedance Amplifier for Miniature Ultrasound Probes with 36dB Continuous Time-Gain Compensation";

J.-S. An, J.-H. Ra, E. Kang, M. A. P. Pertijs and S.-H. Han,
"A Capacitive Touch Chipset with 33.9dB Charge-Overflow Reduction Using Amplitude-Modulated Multi-Frequency Excitation and Wireless Power and Data Transfer to an Active Stylus";

B. Patra, J. P. G. van Dijk, S. Subramanian, A. Corna, X. Xue, C. Jeon, F. Sheikh, E. Juarez-Hernandez, B. Perez Esparza, H. Rampurawala, B. Carlton, N. Samkharadze, S. Ravikumar, C. Nieva, S. Kim, H.-J. Lee, A. Sammak, G. Scappucci, M. Veldhorst, L. M. K. Vandersypen, M. Babaie, F. Sebastiano, E. Charbon and S. Pellerano,
"A Scalable Cryo-CMOS 2-to-20GHz Digitally Intensive Controller for 4×32 Frequency Multiplexed Spin Qubits/Transmons in 22nm FinFET Technology for Quantum Computers";

J. Gong, Y. Chen, F. Sebastiano, E. Charbon and M. Babaie,
"A 200dB FoM 4-to-5GHz Cryogenic Oscillator with an Automatic Common-Mode Resonance Calibration for Quantum Computing Applications".

Therapies without drugs -- Tech News

Fraunhofer researchers Tim Hosman and Vasiliki Giagka are investigating the potential of microimplants to stimulate nerve cells and treat chronic conditions like asthma, diabetes, or Parkinson’s disease. Find out what makes this form of treatment so appealing and which challenges the researchers still have to master.

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Prof. Klaas Bult receives IEEE Donald O. Pederson award

The IEEE Solid-State Circuits Award was established by the Board of Directors in 1987. The award was renamed the IEEE Donald O. Pederson Award in Solid-State Circuits in 2005. Don was a co-founder of the IEEE Solid-State Circuits Council, the forerunner of today's Solid-State Circuits Society, in 1966, and he was instrumental in launching the IEEE Journal of Solid-State Circuits that same year. Recipient selection is administered through the Technical Field Awards Council of the IEEE Awards Board. The award consists of a bronze medal, certificate, and honorarium.

Student Alberto brings wireless monitoring a step closer

In September 2017 Alberto Gancedo started his master programme Microelectronics at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). Alberto’s ambition was bigger than obtaining his degree. His ambition was to develop a small, portable and cheap monitoring device to detect unusual brain activity in premature babies directly after birth. Thanks to donations from EEMCS alumni, Alberto could start his master’s at TU Delft and work towards this ambition. Alberto graduated in the beginning of February 2020 and proudly updates Delft University Fund and EEMCS alumni about his achievements.

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Christos Strydis winner of the Delft Health Competition

During the Future Health at TU Delft Symposium of January 23, Christos Strydis (Computer Engineering, Bioelectronics and Neuroscience) won one of the three prizes of 10,000 Euro in the Delft Health Competition.

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Aleksandar Jovic's paper highlighted as an Editor's Pick in Applied Optics

The manuscript by Dr. Aleksandar Jovic et al. entitled "A Self-Aligned Micro-Optic Integrated Photonic Platform", recently published in Applied Optics, has been highlighted as Editor's Pick for the journal.

Editor's Picks serve to highlight articles with excellent scientific quality and are representative of the work taking place in a specific field - in this case, integrated phonotics.

Congratulations, Aleksandar and co-authors!

Milica Dostanic wins Best poster award at International MicroNanoConference 2019

Milica Dostanic, PhD candidate at the Electronic Components, Technology and Materials (ECTM) group, has won the Best poster award at this year's International MicroNanoConference (iMNC, held in Utrecht, NL) for her poster titled "A miniaturized EHT platform for contractile tissue measurements".

The poster featured joint work between ECTM and Leiden University Medical Center for the development and characterisation of the smallest engineered heart tissues to date.

Congratulations, Milica and co-authors!

Two NWO-HTSM proposals from ECTM accepted

Fundamentals of Backside Metals System for 5G RF Power Modules (Prof. Zhang, Prof. Fan and Dr. Fan)
The 5G communication technology is expected to cover a wide range of applications, such as autonomous vehicles, Internet of Things (IoT), High-speed mobile network, etc. A robust and highly reliable RF power amplifier is key for the 5G system because it works in a harsh environment which involves high temperature, high humidity, high current density, and so forth. Currently, the industry is still working hard on the development of the RF power amplifier to meet the requirements of the 5G communication technology. One of the key challenges is the backside metals system (BSM). Various failure modes and mechanisms are interacting with each other under the influence of multiple loadings, such as high temperature, high humidity, as well as mechanical stresses. This proposal aims to develop fundamental physics-of-failure models, optimization method and design rule to predict and prevent the potential failures in the BSM of 5G RF power modules.

Reliability of Silicone Adhesives and Sealants in Electronic Devices (Prof. van Driel, Dr. van Zeijl, Dr. Yazdan Mehr)
This research aims at developing a fundamental understanding of failure mechanisms and reliability of silicone sealants and adhesives in electronic devices. Degradation of silicone adhesives and sealants is considered to be a major reliability risk in microelectronic components. Understanding the interrelation and attribution of different mechanical, working, and environmental stresses to the failure of silicone adhesives and sealant is a key step in developing physically-based reliability models for microelectronic devices. The multi-physical interaction between temperature, moisture, radiation and oxidation, and their influences on the structure and properties of sealants are not yet well understood. In this project dedicated experimental techniques will be combined with reliability models to understand and predict the lifetime of silicone adhesive and sealants in microelectronic devices under different working conditions.

"The Rising Stars of TU Delft" featuring Tiago da Costa

Delft Health Initiative introduces "The rising stars of the TU Delft". Here we present stories of talented researchers, assistant and associate professors in the field of healthcare. The goal is to get to know the rising stars, read about their research and ambitions, and look for collaborations. Click below for the story of rising star Tiago da Costa.

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Call for Papers: Bioelectronic medicine: engineering advances, physiological insights, and translational applications

Special issue of Bioelectronic Medicine, edited by Vasiliki Giagka, Stavros Zanos, Timir Datta-Chaudhuri, Loren Rieth, and Theodoros Zanos

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Wouter Serdijn appointed theme leader of Delft Health Initiative 2.0's NeuroTech theme

The Delft Health Initiative has laid the foundation for connected health-oriented research at TU Delft and will continue to focus expertise, develop talent and to connect researchers to national and international initiatives. Wouter Serdijn will lead this for Neurotechnology.

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Dutch-Japanese astronomical instrument measures 49 shades of far-infrared

Integrated superconducting spectrometer chip.

The Dutch-Japanese made DESHIMA instrument has passed its first practical tests when measuring the distances and ages of distant galaxies. The core of the instrument is a chip the size of two euro coins that measures 49 shades of far infrared light. The developers of the spectrometer publish the results of their first measurement campaign (first light) on Monday 5 August in the journal Nature Astronomy.

Measuring distances and ages in the universe is a problem. The brightness of a star or a galaxy says little about age. Astronomers bypass this problem by measuring the doppler effect of light from galaxies. The redder the light, the higher the speed, the farther the galaxy. Unfortunately, the redshift of many galaxies in the early universe cannot be measured with visible light, because starlight is shaded by dust clouds surrounding these galaxies. Measuring the redshift of these galaxies requires observing in far infrared.

49 channels

In October 2017, Dutch and Japanese researchers, led by Akira Endo (Delft University of Technology, The Netherlands), mounted the special chip on the Japanese ASTE telescope in North Chile. The superconducting chip is developed by Delft University of Technology and SRON, Netherlands Institute for Space Research. The chip contains one antenna, 49 filters and 49 detectors. The antenna captures radiation of various wavelengths. The filters unravel the radiation in 49 tones of infrared. The 49 detectors measure the intensity of the radiation. When a detector picks up a signal, it can be seen as a peak in a graph.

First light

The first tests with the telescope, the so-called first light, were promising. The astronomers first focused the telescope-with-chip on Mars, Saturn and a number of well-known stars and galaxies. When they saw the expected slope in the graph without significant problems, the researchers aimed the telescope at the well-known distant galaxy VV114 and saw the predicted redshift.

The researchers are now working on a chip that can cope with 300 tones of infrared instead of the current 49. This allows them to determine the distances to galaxies that have hitherto been hidden behind dust clouds. In addition, the researchers want to link multiple chips so that they can study multiple galaxies at the same time. The development must lead to a handy-sized imaging spectrometer that is easy to use on a ground based telescope and is a must for use with space telescopes.

Incidentally, the first tests on the telescope in Chile almost failed due to material problems. There was something wrong with the cooling system of the chip. The researchers had brought spare parts for the cooling system, but they had forgotten the pins to align the parts. After searching for hours in the town of San Pedro de Atacama, the researchers came to jeweler Jose Pinto. In Pinto's toolbox, they found a piece of copper wire with exactly the right diameter. With that they could make the forgotten pins. And so the instrument was rescued and the tests could start.



The DESHIMA project ( ) is made possible in part thanks to grants from NWO, JSPS and the ERC.


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Veni award for Masoud Babaie

Energiezuinige, mm-formaat radiofrequentiezendontvangers voor Internet-der-dingen toepassingen (PaTRIOT)

Miniaturization of wireless implantable medical devices to sub-mm dimensions can play a critical role in our future healthcare systems. However, the size of those devices is currently limited by off-chip crystal oscillators. This proposal introduces a new digital-intensive solution to break that barrier and enable fully integrated and implantable radios.

Integrated devices for neuronal ultrasound stimulation

Neuronal interfaces have been widely developed in last decades with the purpose of providing a path for communication with the nervous system. The most common neuronal interfaces are based on electrical recording and stimulation of neuronal activity, which typically require surgical implantation of electrodes to achieve the necessary spatial resolution. To overcome the many hurdles and risks of surgery, non-invasive techniques to interface with the nervous system are currently being developed, and one of the most promising techniques uses focused ultrasound as a neuromodulation therapeutic modality. Due to its non-invasiveness, to achieve the necessary high spatial resolution, comparable to implantable electrodes, ultrasound transducers and electronics must be integrated in the same device. Its success may lead the way to surgery-free neuro-prosthetics and electroceuticals.

Read more on Pages 29-31 of ETV's Maxwell 22.4

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Het medicijn van de toekomst slik je maar een keer en is bioelektronisch

Item op BNR Nieuwsradio van 15 juli 2019, met een bijdrage van Wouter Serdijn over het onderzoek op bioelektronische medicijnen zoals onderzocht worden aan de TU Delft

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NWA Idea Generator grant for Richard Hendriks

Restored sound localization for hearing impaired people

Dr. Ir. R.C. Hendriks

The inability of hearing impaired people to localize sound has a big impact on their well-being and self- reliance. Compared to normal-hearing people, hearing-impaired people cannot efficiently use the same localization information. In this project will be investigated whether inaudible localization information can be transformed into a different audible form.

With a sum of 50,000 euros each, NWO granted 37 out-of-the-box research ideas with the potential to make an impact in society.

The applicants receive funding from the Idea Generator programme of the Dutch National Research Agenda (NWA). A total of 1.85 million euros was available.

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Chao Chen receives Else Kooi Award

Chao received the award from Hans Naus and Eugenio Cantatore

The 2019 Else Kooi Award goes to EWI alumnus Chao Chen, for his work on chips for miniature 3-D ultrasound probes. The Else Kooi Award is a yearly prize for outstanding young researchers in the microelectronics field in The Netherlands. Chao received the award, which consists of prize of € 5.000 and a work of art, at the PRORISC Conference in Delft on July 4.

Chao’s PhD was a multi-disciplinary project on the intersection between electronics and ultrasonic imaging, aiming to realize miniature ultrasound probes for 3-D medical imaging. In particular, he worked on endoscope-based probes for real-time 3-D imaging of the human heart. Such probes are an important step forward compared to current 2-D imaging devices. They will provide improved diagnosis of cardiac conditions and guidance of minimally-invasive procedures.

To realize such probes, more than 1000 tiny elements that can send and receive ultrasound need to be integrated in a mm-sized probe tip. Chao developed custom chips that make it possible to connect all these elements using a limited number of cables to an imaging system. To locally process the echo signals, his chips employ innovative amplifiers and beamformer circuits that are substantially smaller and more power efficient than previous designs. Moreover, Chao realized the first chip capable of digitizing the echo signals in the probe, enabling better image quality with fewer cables, and making an important step towards next-generation smart ultrasound probes.

Chao’s work was carried out at Ultrasound ASICs group at the Electronic Instrumentation Laboratory, under supervision of Dr. Ir. Michiel Pertijs, in close collaboration with the Acoustical Wavefield Imaging group at the Faculty of Applied Sciences, and the Biomedical Engineering group at Erasmus MC. Chao's work was part of the MICA project. His PhD thesis can be found here. Chao now works at Butterfly Network, an American company developing hand-held ultrasound scanners.

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Nikita Petrov defended his PhD thesis. Congratulations!

Modern surveillance radars are designed to detect moving targets of interest in an adverse environment, which can encompass strong unwanted reflections from ground or sea surface, clouds, precipitation, etc. Detection of weak and small moving targets in environmental clutter remains, however, a challenging task for the existing radar systems.

One of the main directions for modern radar performance improvement is the application of wideband high-resolution waveforms, which provide detailed range information of objects at the observed scene. Together with such inherent advantages of wideband waveforms as multi-path separation, clutter reduction and improved target classification, additional benefits can be obtained by exploiting target range migration (range walk), essential for fast moving targets in the high-resolution mode.

This thesis aims at the development of novel signal processing techniques for migrating target detection in wideband radars. It involves both resolving range-velocity ambiguities and improvement in target discrimination from ground clutter by accounting for target range migration.

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European research project Power2Power for more efficient power semiconductors launches

The European cooperation project Power2Power has started. Over the coming three years, 43 partners from eight countries will research and develop innovative power semiconductors with more power density and energy efficiency. Power semiconductors are needed in all stages of energy conversion: generation, transmission, and use. More efficient semiconductors make a major contribution towards reducing carbon dioxide emissions in spite of the world's growing energy needs. Universities, research institutes, small and medium-sized companies and international corporations are involved in this cooperation. Infineon Technologies Dresden GmbH & Co. KG is coordinating this project.

The participants from The Netherlands are the Advanced Packaging Center, Alfen, Boschman, IWO Project, Jiaco Instruments and Delft University of Technology as academic partner. Within TU Delft two research groups from the Faculty of EEMCS are participating: Electronic Components, Technology and Materials (ECTM) and DC Systems, Energy Conversion & Storage (DCE&S). ECTM will investigate advanced interconnect materials for the packaging of the power semiconductors and reliability improvements by using digital twinning. DCE&S will investigate use cases of the improved power semiconductors in EV charging.

For more information visit the original press release from Infineon, and

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NWO Matchmaking event: Degradation and Reliability of Organic Materials

Together with Signify, TU Delft is organizing an NWO matchmaking event on the degradation and reliability of organic materials. Topics include:

  • Brainstorming on challenges and future developments of inorganic materials used in (opto) electronic components
  • Reliability, degradation, and lifetime assessment of inorganic materials in microelectronic devices
  • Discussing collaboration opportunities between leading industries in Europe and Dutch Universities

Date: 30th of August, 9:00-14:00
Location: HTC45, High Tech Campus, 5656 AE Eindhoven
Organizers: Prof. dr. G.Q. Zhang, Prof. dr. W.D. van Driel, Dr. M. Yazdan Mehr

Register before the 27th of August by mail to:, for additional information check this PDF.

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Thales Naval Nederland Delft celebrates 20 years

Yesterday the MS3 group congratulated our close partner Thales Naval Nederland who celebrates 20 years of their location in Delft. It is an important milestone for Thales Nederland, as soon as the research and development are mainly done in Delft.

Symposium ' The car of the future', KU Leuven; Prof Kofi Makinwa on ' Next generation CMOS temperature sensors'

May 14, 2019

KU Leuven, Belgium, Department of Electrical Engineering (ESAT)

Kasteelpark Arenberg 10, 3001 Heverlee Program:

14h00 welcome

14h15 IC design for automotive battery management systems

Pieter De Muyter - IC Sense

15h00 Current sensors for electrified automotive drive- trains

Wouter Leten- Melexis 15H45 Coffee break

16H15 Machine vision for automotive applications

Bert Moons-Synopsys

17H00 Next generation CMOS temperature sensors

Kofi Makinwa -Delft University of Technology

17h45 Reception

BI/OND wints the Philips Innovation Award

We are proud to announce that BI/OND, the ECTM spin-off that develops microfluidic Organ-on-Chips in silicon, won the Philips Innovation Award 2019.

This year more than 100 teams from all around the Netherlands participated to this event and the jury, chaired by Frans van Houten, CEO of Philips, awarded BI/OND as the best startup.

BI/OND gave an interview to that can be watched here: link

As the winner of the PHIA2019, the 8th of May the BI/OND team had also the honour to open the stock Market in Amsterdam with the VP of Philips Research, Hans Hofstraat. To watch this event follow this link

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Open Course Analog Integrated Circuit Design No. 1 in Microelectronics and No. 2 in Electrical Engineering

Analog Integrated Circuit Design is an introductory course in analog circuit synthesis for microelectronic designers. Topics include: Review of analog design basics; linear and non-linear analog building blocks: harmonic oscillators, (static and dynamic) translinear circuits, wideband amplifiers, filters; physical layout for robust analog circuits; design of voltage sources ranging from simple voltage dividers to high-performance bandgaps, and current source implementations from a single resistor to high-quality references based on negative-feedback structures.

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May 17th, 09.30, EEMCS lecture hall Ampere, Micro electronics symposium: Who's talking, who's listening?

Concept program

09:35 Welcome Leo de Vreede

09:45 Bram Nauta (University of Twente)

N-path filters the enabler for software defined wireless receivers?

10:15 Peter Baltus (Technical University Eindhoven)

Unconventional Wireless Applications

10:45 break

11:15 Patrick Reynaert (University Leuven, Belgium)

Polymer Microwave Fibers: who's waiting for it?

11:45 Leo de Vreede (Technical University Delft)

Digital Transmitters for Sub-6GHz Wireless Applications

12:15 lunch (Restaurantzaal)

13:00 Yao-Hong Liu(IMEC)

Listen to your gut: swallable digital transmitter design

13:30 wrap-up Kofi Makinwa (Technical University Delft)

13:45 conclusion

Inauguration Earl Mc Cune and Cicero Vaucher, May 17th

Location: Aula

Time: 15.00


Sustainable Wireless Systems, Prof Mc Cune

Waves for sensing and communicating: perspectives, Communicating and sensing: views on the road ahead, Prof. Vaucher

Asli Yelkenci wins BioEl 2019 best poster presentation

Asli presented her approach for co-integration of planar patch-clamps and microelectrode arrays in the same device, thus enabling for high-throughput simultaneous intra- and extra-cellular measurements of cardiac cells. Asli received a prize of 300 Euros sponsored by Panaxium.

Ref: A. Yelkenci, R. Martins da Ponte, V. Valente. Co-integration of flip-tip patch clamp and microelectrode arrays for in-vitro recording of electrical activity of cardiac cells. Presented at the 2019 Winterschool on Bioelectronics, Kirchberg, Austria, 16-23 March 2019.

First Prize of 3-E Royal SMIT BSc Competition

ELCA research group congratulates Joram van der Velden and his team, comprising Louis Marting, Jordy van der Horst, and Nandor Toth, BSc. students from TU-Delft who have won the 1st prize in the Netherlands national competition for the best BScs. graduated in 2018 in Electric Energy and Electricity supply Engineering. This bachelor project has been executed inside the ELCA research group in the spring of 2018.

The 3 E-Royal SMIT BSc prize 2018 ceremony took place on Friday 22/03/2019 in Nijmegen. More information can be found here .

This bachelor thesis was supervised by Marco Pelk, Masoud Babaie, and Morteza Alavi. The thesis is located here .

Achievement Award for prof. G.Q. Zhang at EuroSimE

Prof. G.Q. Zhang, Microelectronics Department of EWI, received the “Achievement Award” from 20th IEEE international conference on “Thermal, Mechanical and Multiphysics Simulations and Experiments in Microelectronics and Microsystems” (EuroSimE) on 26-03-2019 in Hannover, Germany.

As one of the founders, Prof. Zhang initiated this conference in 2000 in Eindhoven, to meet the increasing scientific and technology needs for multiphysics and multi-scale simulation, modelling, experiment and optimization. He served as the conference general chair for 17 years. Today, EuroSimE is a prime and very influential IEEE conference in this important academic and technologic field, with more than 10,000 annual paper download from IEEE explore system. The Award Committee chose the occasion of the 20th anniversary to recognize Prof. Zhang for his vision, strong leadership and decades’ commitment to stimulate global scientific collaboration and for his excellent scientific achievements. Prof. Zhang gave a plenary keynote talk on “EuroSimE – Mission to be accomplished”.

Micro electronics colloquium, Thursday March 28, 15.30 EEMCS Restaurantzaal

Dr. Muhammed Bolatkale Muhammed Bolatkale is Senior Principle Scientist at NXP Semiconductors and part-time Associate Professor at Delft University of Technology. He received his B.Sc. (high honors) degree from Middle East Technical University, Turkey, in 2004 and the M.Sc. (cum laude) and Ph.D. degrees from Delft University of Technology in 2007 and 2013. Since 2007, Dr. Bolatkale has worked for NXP Semiconductors, specializing in the design of wideband Delta-Sigma ADCs for wireless communications and automotive applications. Dr. Bolatkale received the ISSCC 2016 and 2011 Jan Van Vessem Award and the IEEE Journal of Solid-State Circuits 2016 and 2011 Best Paper Award.


High Performance Data Converters A next generation automotive radio receiver, an all-digital Class-D amplifier, and an advanced Bluetooth transceiver have one thing in common: they rely on high-performance data converter architectures to enable best in class performance. This talk will give an overview of GHz-sampling data converters, especially focusing on wideband delta-sigma and hybrid data converter architectures. We will touch upon state-of-the-art systems and circuit level designs fabricated in advance CMOS nodes.

Prof. Nan Sun Nan Sun is Associate Professor at the University of Texas at Austin. He received the B.S. from Tsinghua in 2006 and Ph.D. degree from Harvard in 2010. Dr. Sun received the NSF Career Award in 2013. He serves on the Technical Program Committee of the IEEE Custom Integrated Circuits Conference and the IEEE Asian Solid-State Circuit Conference. He is an Associate Editor of the IEEE Transactions on Circuits and Systems – I: Regular Papers, and a Guest Editor of the IEEE Journal of Solid-State Circuits. He also serves as IEEE Circuits-and-Systems Society Distinguished Lecturer from 2019 to 2020.


New Ingredients in the Pot - Rethinking ADC Design I will present several unconventional data conversion architectures. First, I will talk about how we can make use of noise, which is usually deemed as an undesirable thing, to estimate the conversion residue and increase the SNR of a SAR ADC. It is an interesting example of stochastic resonance, in which the presence of noise can lead to not SNR degradation but SNR enhancement. Second, I will talk about how we can perform data conversion below the Nyquist rate by exploiting the sparsity of the input signal. I will show two example compressive sensing ADCs and how the effective ADC conversion rate can be reduced by 4 times but without losing information. Third, I will show how we can prevent the seemingly inevitable kT/C noise in a Nyquist-rate pipelined ADC by using a continuous-time SAR based 1st-stage. This can substantially reduce the requirement on the ADC input capacitance, greatly reducing the ADC driver power and reference buffer power.

Vasiliki Giagka appointed associate editor for Bioelectronic Medicine

Bioelectronic Medicine (BM) is an open access, peer reviewed and relatively young journal published by the Feinstein Institute for Medical Research (in New York, NJ, USA) on BMC’s platform (part of Springer Nature): The journal brings together material science, molecular medicine, bioengineering, neuroscience, computer science and other related disciplines focused on new insights into the role of the nervous system in disease and health, and the importance of discovering new molecular mechanisms and technologies to treat disease. The journal has an expanded community and multidisciplinary audience from healthcare, technology and scientific research. Specialists writing for BM come from fields such as neuroscience, biology, bioengineering, electronics, computing, data analytics, molecular medicine, pharmaceuticals, medical devices, and personalized medicine and last named is extremely important in the upcoming domain of bioelectronic medicine, also known as electroceuticals, the electronic counterparts of pharmaceuticals.

At the core of electroceuticals is the electrical signal used by the nervous system to communicate information. Virtually every cell in the body is directly or indirectly controlled by these neural signals. Bioelectronic medicine technologies can record, stimulate and block neural signaling. Through its ability to manipulate neural signals it will change the way physicians treat diseases and conditions such as rheumatoid arthritis, Crohn's disease, diabetes, paralysis, bleeding and even cancer.

All articles published by BM are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. This nicely aligns with Delft University of Technology’s Open Acces policy.

For the same journal, Wouter Serdijn (also Section Bioelectronics at Delft University of Technology) has agreed to be serving as contributing editor. In this role, he will advise the editors of new trends, which may soon become prevalent in the field; keep up-to-date with the journal’s publications and provide feedback to the editors; contribute topic ideas and manuscripts to thematic series that will be implemented by the journal in the future; recommend articles from the field for publication.

Wouter Serdijn nieuw lid Wetenschappelijke Raad Medical Delta

Als lid heeft Wouter Serdijn de taak om bij te dragen aan het creëren van het wetenschappelijk programma en daarmee aan de visie van Medical Delta. Hij helpt mede vorm te geven aan onderzoeksprogramma’s en zal als ambassadeur optreden. Serdijn: “Met diverse langlopende samenwerkingen met zowel het ErasmusMC en het LUMC waren EWI en mijn sectie Bioelectronics al ‘Medical Delta’ vanaf het eerste uur. Niet zo verwonderlijk, want het behouden en terugwinnen van 100% gezondheid gerelateerde kwaliteit van leven vraagt steeds vaker micro-elektronische ondersteuning. Deze ondersteuning is belangrijk, zowel voor het begrijpen van de menselijke fysiologie en het menselijk gedrag als voor het betrouwbaar stellen van een diagnose, voor het nauwkeurig en ongestoord monitoren en voor een succesvolle persoonlijke behandeling. Ik denk dat dit goed aansluit bij de missie van Medical Delta en ik draag namens EWI graag een steentje bij.”

Medical Delta is een netwerk van life sciences, gezondheids- en technologie-organisaties. Gevestigd in de Nederlandse Rijndeltaregio bundelen zij een brede kennis en ervaring en fungeren als katalysator voor innovatie en samenwerking op het gebied van gezondheid.

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First Microelectronics Synergy Grants

According to Professor Geert Leus who heads the ME Research Committee, the Synergy Grants are also intended to kick-start the research of young faculty, as it can be quite challenging for them to obtain funding at the beginning of their research careers. The grants cover half the costs of a PhD candidate, with the rest coming from existing research funding. ‘The submitted proposals were carefully evaluated by the ME Research Committee on the basis of their scientific quality, their clarity and feasibility, the synergy between the participating sections, and the relationship to the departmental themes. The ME Management Team (MT) then decided to award Synergy Grants to the top three proposals.’


The aim of the grants is to encourage newly emerging combinations of technologies and to facilitate cross-overs between them, thus strengthening and broadening the department's research portfolio. This goal fits seamlessly within the research strategy of ME, which has defined itself around the four themes of Health & Wellbeing, XG, Safety & Security and Autonomous Systems to better address societal challenges.


Last week, the winners were received by the ME MT. They received flowers from the head of the department (Kofi Makinwa) and had the opportunity to briefly present their proposals to the assembled MT. Below are short descriptions of the successful proposals.

Akira Endo & Sten Vollebregt: ‘The aim of our project TANDEM: Terahertz Astronomy with Novel DiElectric Materials is to develop advanced dielectric materials to realize superconducting microstrip lines with very low losses in the frequency ranges of 2-10 GHz and 100-1000 GHz. The PhD candidate will combine the dielectric deposition, characterization, material expertise and facilities of the ECTM group and the Else Kooi Laboratory, and the submillimetre wave device measurement capability of the THz Sensing Group and SRON. The aim is not only to realize low loss dielectrics, but also to understand the underlying physics that governs these losses. If successful, these microstrips will be immediately applied to enhance the sensitivity of the DESHIMA spectrometer on the ASTE telescope in Chile.’

Bori Hunyadi: ‘On one hand, the vast complexity of the human brain (10^11 neurons and 10^14 connections) enables us to process large amounts of information in the fraction of a second. At the same time, imperfections of the wiring in this vast network cause devastating neurological and psychiatric conditions such as epilepsy or schizophrenia. Therefore, understanding brain function is one of the greatest and most important scientific challenges of our times. Brain function manifests as various physical phenomena (electrical or e.g. metabolic) at different spatial and temporal scales. Therefore, the PhD candidate working on this grant will develop a novel multimodal and multiresolution brain imaging paradigm combining EEG and a novel imaging technique, fUS. The specific engineering challenge is to understand and describe the fUS signal characteristics, deal with the large amount of data it records using efficient computational tools; and finally, formulate the specification of a dedicated non-invasive, multimodal, wearable EEG-fUS device.’

Virgilio Valente & Massimo Mastrangeli: ‘The seed money of the Synergy Grant will partially support a joint PhD candidate to investigate the tight integration of an heart-on-chip device with dedicated electronic instrumentation in the same platform. Our aim is to bring sensing and readout electronics as close as possible to a cardiac tissue cultivated within a dedicated micro physiological device. The grant helps promoting the logical convergence between current departmental research activities at ECTM and BE and within the Netherlands Organ-on-Chip Initiative (NOCI) on the development of instrumented organ-on-chip devices.’

ME chairman congratulates Massimo Mastrangeli with obtaining University Teaching Qualification within a year

Massimo Mastrangeli completed all the modules for his Teaching Qualification within a single year and was congratulated for this achievement in person by Kofi Makinwa, the chair of the ME department.

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Health Prototype Grant for Single-Cable Ultrasound Catheter

Verya Daeichin, Douwe van Willigen, Martin Verweij, Michiel Pertijs and Nico de Jong received a Health Prototype Grant of €10K from the Delft Health Initiative for their project on a “Single-cable three-dimensional opto-acoustic imaging catheter”. The objective of the TU Delft Health Initiative is to promote research in the field of Healthcare at Delft University of Technology. Out of a total of 26 applications, 13 were granted.

Minimally-invasive interventions have revolutionized the healthcare industry, allowing outpatient clinical treatment, which is critical for healthcare in an aging population. Ultrasound imaging is one of the modalities that can fulfil all the requirements for these interventions: it is safe, cheap, real-time and can be made in small devices. Recently we have demonstrated catheter-based imaging devices and their potential, in context of the Perspectief Programme “Instruments for Minimally-Invasive Techniques (iMIT)”.

One of the main challenges in a catheter-based ultrasound imaging device is the number of cables required to connect the ultrasound elements to the imaging system (typically 64-128 cables). Therefore, it is extremely valuable to keep the number of interface connections limited to facilitate a more flexible probe shaft and to leave room for other required pieces such as a guidewire and/or an optical fiber. To address the challenge of miniaturizing 3D ultrasonic imaging devices within the stringent size constraints of a catheter, we have developed an application-specific integrated circuit (ASIC) of 1.5 mm by 1.5 mm which can handle a matrix of 64 ultrasonic transducers elements using only a single cable to generate a real-time 3D ultrasound images. We have realized a prototype of this device on a PCB and have shown its imaging capabilities. The research goal of this proposal is to demonstrate our unique technology in a form that is significantly closer to the final clinical application: integrated at the tip of a small cylinder and connected using a single micro-coax cable.

This project is a collaboration between the Ultrasound ASICs group of the Electronic Instrumentation Laboratory, and the Acoustic Wavefield Imaging group. It fits in the scope of our activities on devices for intra-vascular ultrasound (IVUS).

Microelectronics at work for sustainable healthcare

The Medical Delta has launched twelve research programmes that work on technological solutions for sustainable care. EEMCS is represented in three programmes; Neurodelta (Wouter Serdijn), Medical Delta Cardiac Arrhythmia Lab (Wouter Serdijn and Alle-Jan van der Veen) and Ultrafast Ultrasound for the Heart and Brain (Michiel Pertijs), all part of the Microelectronics department.

In order to give the research programmes an extra impulse, a strategically important project is financed within each research programme.

In the Medical Delta 2.0 Neurodelta program Vasiliki Giagka and Wouter Serdijn (both Section  Bioelectronics) will work on miniature implants for simultaneously measuring and influencing brain activity by means of light and ultrasound.

Read more about Vasiliki Giagka's work:


Within the Medical Delta 2.0 Cardiac Arrhythmia Lab, Virgilio Valente (Section Bioelectronics) and Richard Hendriks and Borbala Hunyadi (both Section CAS) will work on new bioelectronic signal acquisition and processing techniques to identify the electropathology of cardiac dysrhythmia, such as atrial fibrillation, in an organ-on-chip set-up.

Read more about the work of Virgillio Valente: 


Within the Medical Delta 2.0 programme Ultrafast Ultrasound for the Heart and Brain, Michiel Pertijs (Section Electronic Instrumentation) will work on smart ultrasound probes that can take 3D images of the heart and brain at high speed, with the aim of enabling new and better diagnostics of cardiovascular and neurological disorders.

Read more about the work of Michiel Pertijs:    


More information about Medical Delta:

Health Prototype Grant for Virgilio Valente

The TU Delft Health Initiative objective is to promote research in the field of healthcare at Delft University of Technology and they granted 13 out of total 26 applications. ‘Organs-on-chip (OoC) systems represent the new frontier in biomedical engineering, aiming at re-producing and mimicking key aspects of living organs on microengineered biosystems, by modeling the structural and functional complexity of organs, tissue to tissue interactions and cellular metabolism. Coupled to microfluidics and multi-parameter sensing, OoCs promise a significant revolution in the development of future targeted drugs and therapies, by providing a vital alternative to conven-tional cell cultures and animal models. By leveraging the distinctive features of modern complemen-tary metal-oxide semiconductor (CMOS) technology, coupled with high-density microelectrode array (MEA) systems, we can develop complex yet com-pact microelectronic biodevices capable of interact-ing with biological networks at a single-cell scale with unprecedented resolution and sensitivity. Im-pedance-based measurements (IM) have shown significant potential in monitoring cell and tissue contractions, morphology and cell-to-cell heteroge-neity. Impedance assays are currently routinely developed to assess drug toxicity in cardiac cell cul-tures. Commercial systems, including the xCELLI-gence RCTA by ACEA Biosystems, are based on the use of two electrodes for IM, which greatly limits the measurement resolution. To date, there is no com-mercial or research system capable of measuring impedance profiles from cardiac cell culture with high resolution.’

Read more about the work of Virgillio Valente:

Image formation for future radio telescopes

Radio astronomy is an interesting application area for array signal processing. We developed a new image formation tool called PRIFIRA, inspired by Sparse Bayesian Learning. Featured in ETV Maxwell 22.1.

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Burak gets Predoctoral Achievement Award

The IEEE Solid-State Circuits Society Awards Committee has granted Burak Gönen a Predoctoral Achievement Award for 2018-19. For a small number of promising graduate students, the award provides a $1000 honorarium and reimbursement for travel expenses to ISSCC, the Society's flagship conference. Awards are made on the basis of academic record and promise, quality of publications, and a graduate study program well matched to the charter of SSCS.

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The new frontier in smart and efficient diagnostics and analytics is represented by the fusion of semiconductor technologies and electrochemical sensors. BioCMOS devices, also known as Lab-on-CMOS or CMOS biosensors, consist of microelectronic interfaces with integrated high-density sensing elements. On top of these elements, biological and chemical assays can be directly performed, limiting considerably the need for additional external units. The Bioelectronics group is currently developing BioCMOS microsystems that target applications, including lab-on-chip and organ-on-chip platforms, point-of-care devices, implantable and injectable smart biosensors. By leveraging the distinctive features of modern complementary metal-oxide semiconductor (CMOS) technology, we can develop complex yet compact microelectronic bio-devices capable of interacting with biological networks at a cellular and molecular scale with unprecedented resolution and sensitivity. BioCMOS technology promises to play a key role in defining future targeted therapies and personalized medicine, cost-effective drug discovery and development, and efficient disease management strategies. Read more on Page 18-21.

Bioelectronic Medicine

Imagine a tiny device that can treat patients by injecting small electrical pulses into the neuronal tissue. These tiny microelectronic devices are the main focus of a new exciting field called Bioelectronic Medicine, with the main goal of one day replacing conventional chemical drugs. When implanted, these devices can act on the body’s nervous system to treat a wide variety of disorders, such as rheumatoid arthritis, obesity, Crohn’s disease, migraine, epilepsy, etc.[1] .The technological challenges behind realizing such devices, however, are enormous and encompass almost every facet of microfabrication and bioengineering technologies. Read more on Page 6, 7 and 8.

Nikolas Gaio won a Lush Prize

The 16th of November one of our students, Nikolas Gaio, was awarded in Berlin with a Young Researcher Award in the Lush Prize 2018 for his work ‘Replacing animal tests with silicon chips’. This work was performed during his PhD project in ECTM.

Video of the presentation

The Lush Prize is the largest global awards programme to recognize and celebrate scientists and campaigners working to replace animals in drugs and cosmetics R&D. Now in its seventh year, it has provided more than £1.8 million to support animal-free testing and campaigns around the world.

If you want to find more about the Lush Prize, visit

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Perspectief Programme ULTRA-X-TREME Granted

Ultrafast Ultrasound Imaging for Extended Diagnosis and Treatment of Vascular Disease (ULTRA-X-TREME)

NWO (the Netherlands Organisation for Scientific Research) has announced the new research programmes that will be part of its ‘Perspective for Top Sectors' funding programme. One of the programmes that will be funded is the ULTRA-X-TREME programme, in which new ultrasound techniques will be developed for improved diagnosis of dangerous vascular problems. Michiel Pertijs' Ultrasound ASICs group at the Electronic Instrumentation Laboratory will be responsible for the development of advanced integrated electronics for the high-frame-rate 3D ultrasound probes that will play a key role in this programme.

Vascular problems can be life-threatening. Cerebral infarctions (strokes) are often caused by calcification of the carotid artery and ruptures in the abdominal artery (aortic aneurysms) as a result of a weakening of the arterial wall. Currently, doctors determine the likelihood of both problems simply by measuring the diameter of these arteries. However, this has proved to have only limited predictive value, which means more people than necessary undergo life-threatening treatments and dangerous cases are overlooked.

The ULTRA-X-TREME programme will develop new, highly accurate ultrasound techniques to enable 3D imaging of the arterial walls and blood flow. New transducers, contrast media and analysis techniques will be developed in order to determine much more effectively whether treatment is necessary.

The ULTRA-X-TREME consortium brings together the best Dutch research groups in the field of ultrasound technology and the biomechanics of blood vessels with hospitals and international industry. Within this programme, Michiel Pertijs will work together with Nico de Jong and Martin Verweij (Imaging Physics, Fac. of Applied Sciences) and Hans Bosch (Erasmus MC) on the development of a unique matrix transducer with more than 20,000 elements and integrated electronics, for making 3D echo images with a high volume frame rate.

Programme leader: Prof. dr. ir. C.L. de Korte (Radboudumc and Twente University)

Participants: ANSYS, Bracco Suisse S.A., Catharina hospital, Erasmus MC, Harteraad, Mindray, Nederlandse Vereniging voor Vaatchirurgie (NVVV), Philips Electronics Nederland, Pie Medical Imaging, Radboudumc, Rijnstate hospital, TU Delft, TU Eindhoven, TOMTEC Imaging Systems, Twente University, Vermon S.A., Verasonics

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BI/OND wins Accenture Innovation Awards 2018 for Health

BI/OND's CEO Cinzia Silvestri pitching at the AIA18

TU Delft start-up BI/OND is the winner of the Accenture Innovation Awards 2018 in the Health category.

According to the Jury: "This year’s winner has proven that science can indeed make a difference. They are truly a learning organization. Yet as scientists, they risk staying unsung heroes. Winning today provides them with the opportunity to realize their full potential and develop into a business, making their dreams come true."

It has been a challenging journey for BI/OND. From the top 50 innovation nomination, to the Summer Nights where 25 companies were selected, through the Semi-Finals (top 10), and all the way up to the Finals (top 5), the winners of the Accenture Innovation Awards 2018 (AIA18) were finally announced on November 2nd.

The AIA18 Innovation Journey focused on 8 global themes, tackling both local and global issues. DeFabrique, the Innovation Summit’s scenery, was packed with more than 2,500 visitors from various industries and backgrounds with one thing in common: the desire to disrupt the current status quo. The jury spent hours deliberating who should be the next leading innovator of their theme, culminating in the announcement of the winners.

Our work on Intravascular Ultrasound featured on the cover of TUFFC

The IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control selected our paper

    J. Janjic, M. Tan, E. Noothout, C. Chen, Z. Chan, Z. Y. Chang, R. H. S. H. Beurskens, G. van Soest, A. F. W. van der Steen, M. D. Verweij, M. A. P. Pertijs, and N. de Jong, "A 2D ultrasound transducer with front-end ASIC and low cable count for 3D forward-looking intravascular imaging: Performance and characterization," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 10, pp. 1832-1844, Oct. 2018 (link)

to be featured on the cover of the October 2018 issue.

This paper is the result of a collaboration on intravascular ultrasound imaging between the Ultrasound ASICs group at the Electronic Instrumentation Lab, the Thoraxcenter at Erasmus MC, and the Laboratory of Acoustical Wavefield Imaging at the Faculty of Applied Sciences, Delft University of Technology.

Forward-looking intravascular ultrasound (FL-IVUS) holds rich potential for guidance of complex vascular interventions, such as recanalization of coronary chronic total occlusions. The realization of FL-IVUS devices is fraught with technical challenges, as a high-resolution volumetric image needs to be created from a small (< 1.5 mm) aperture with scant space for cabling and electronics. In this issue of the Transactions, we present an innovative concept for an FL-IVUS matrix array, consisting of 16 transmit (yellow) and 64 receive elements (red), addressed by only four cables. A dedicated front-end ASIC performs element addressing and received signal amplification. The realized configuration produces a narrow pulse-echo beam profile with sidelobes below −20 dB. 3-D synthetic aperture imaging (bottom) at a volume rate of 100 Hz is feasible.

Details on the ASIC, which was designed at the Electronic Instrumentation Lab by Mingliang Tan, Chao Chen, Zhao Chen and Michiel Pertijs, can be found in

    M. Tan, C. Chen, Z. Chen, J. Janjic, V. Daeichin, Z. Y. Chang, E. Noothout, G. van Soest, M. D. Verweij, N. de Jong, and M. A. P. Pertijs, "A front-end ASIC with high-voltage transmit switching and receive digitization for 3D forward-looking intravascular ultrasound imaging," IEEE Journal of Solid-State Circuits, vol. 53, no. 8, pp. 2284-2297, Aug. 2018 (link)

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Six papers at the 2018 IEEE Ultrasonics Symposium

Douwe presenting his work at IUS2018

At the 2018 IEEE Ultrasonics Symposium (IUS) - the world’s premier conference on ultrasound research held in Kobe, Japan, in October - the Ultrasound ASICs group presented six papers covering various aspects of our work on integrated circuits for smart ultrasound applications.

Douwe van Willigen presented two papers at IUS. The first, entitled “ASIC design for a single-cable 64-element ultrasound probe”, was nominated for the Best Student Paper Competition (top 3.5% of the student paper submissions). In this paper, we present an ASIC (Application-Specific Integrated Circuit) that interfaces 64 piezoelectric elements directly integrated on top of the ASIC to an imaging system using a single micro-coaxial cable. This innovative design allows a single-element transducer to be replaced by a transducer array, while using the same cable, making it a promising solution for 3D imaging with size-constrained probes. This work is part of our work on intra-vascular ultrasound , a collaboration with the Acoustical Wavefield Imaging Lab (Faculty of Applied Sciences, Delft University of Technology) and the Thoraxcenter, Erasmus MC, Rotterdam.

A second paper authored by Douwe, “Minimizing the zero-flow error in transit time ultrasonic flow meters”, presents results of our FLOW+ project, analysing the effect of driver- and readout electronics on the zero-flow error in transit-time ultrasonic flow meters.

Another paper that links to the same FLOW+ research project, entitled “Feasibility of ultrasound flow measurements via non-linear wave propagation,” was presented by Jack Massaad. This paper demonstrates the feasibility of using non-linear wave propagation to improve the precision of flow measurements using ultrasound.

Zhao Chen presented a paper entitled “A Power-Efficient Transmit Beamformer ASIC for 3-D Catheter-Based/ Endoscopic Probes”, which presents an innovative approach to reduce the power consumption of integrated high-voltage pulsers in miniature ultrasound probes.

Zhao also presented a paper entitled “A quantitative study on the impact of bit errors on image quality in ultrasound probes with in-probe digitization”, in which we investigate an import question associated with the next-generation of digital ultrasound probes: if you digitize the echo signals in the probe, what are then the bit-error requirements on the digital datalink used to send the echo signals to an imaging system? We’ve found that very high bit-error rates can be tolerated without significant impact on image quality, opening the door to the use of simple and power-efficient datalink solutions.

Finally, Mehdi Soozande presented a paper entitled “Virtually Extended Array imaging improves lateral resolution in high frame rate volumetric imaging,” in which we describe a high-frame-rate transmission scheme which outperforms alternative methods in lateral resolution, targeting catheter-based 3D imaging applications.

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Volgens de wetenschap kunnen doven straks horen en blinden zien

Er staan veel filmpjes online van emotionele mensen die, met behulp van moderne technologie, voor het eerst hun familie kunnen zien. Of van kinderen die voor het eerst de stem van hun ouders horen. Het zijn voorbeelden van de eerste stappen naar het genezen van blindheid. Prof. dr. Wouter Serdijn doet onderzoek naar het ontwikkelen van bio-elektronica met als doel het behandelen van deze menselijke kwalen. Artikel in het AD van 26 oktober 2018.

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New Assistant Professor

CAS welcomes Borbala Hunyadi, a new Assistant Professor, working on Bio Signal Processing

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Vacancy: Assistant/Associate Professor of Bioelectronics

Assistant/Associate Professor of Bioelectronics

Faculty: Electrical Engineering, Mathematics and Computer Science
Required Level: Completed PhD
Appointment: 32-38 hours per week
Contract duration: Tenure
Salary: 3545 - 5513 Euro per month (1 fte)

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.

The Department of Microelectronics has a strong interdisciplinary research and education programme in the areas of 1. health and well-being, 2. autonomous systems, 3. next generation wireless and sensing technology and 4. safety and security.

With 11 IEEE Fellows among the staff, an excellent microfabrication infrastructure, electrical and physical characterisation facilities, and a strong international academic and industrial network, the department provides high-level expertise in each of these areas throughout the entire system chain.

The Section Bioelectronics is a relatively new section that has been created to address coherently the challenges we face in developing bioelectronic medicine and electroceuticals. The group conducts research, education and valorisation in the fields of circuits and systems for active wearable, implantable and injectable biomedical diagnostic, monitoring and therapeutic microsystems. The group is active in the domains of biosignal acquisition, conditioning and detection, electrical stimulation, transcutaneous wireless communication and power transfer, energy harvesting, bioinspired circuits and systems, CMOS diagnostic systems, flexible implants and microsystem integration.

Job description

The Bioelectronics group is offering a tenure-track position at the Assistant or Associate Professor level in the field of biomedical circuits and systems. You will further develop existing research topics, such as mixed-mode and digital circuits and systems for active wearable and implantable medical devices and create new topics, which may include bioelectronic medicine. You will be involved in teaching at the BSc and MSc levels in the TU Delft's Electrical Engineering and Biomedical Engineering programmes and the Leiden-Delft-Erasmus Technical Medicine programme. Collaborative initiatives are strongly encouraged. You are expected to write research proposals for national and international funding organisations. This is a tenure-track position for a period of five years with the possibility of a permanent faculty position at the end of the contract, subject to mutual agreement.

A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or Full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the Tenure Track and the personal development programme, please visit

Job requirements

You must have a PhD degree in the field of biomedical circuits and systems (BioCAS) and some years of experience as a post-doc or university professor. You have an excellent academic track record, reflected by peer-reviewed journal publications, conference contributions, and international research experience. An affinity for working on the interface with other disciplines (biomedical engineering, neuroscience, electrophysiology, biomedical signal processing, etc.) and with clinicians and medical researchers is preferred. You should have a demonstrated ability to initiate and direct research projects and to obtain external funding. Experience in teaching and mentoring of students is required. A teaching qualification is recommended. Demonstrated ability in written and spoken English is required.

Employment conditions

At the start of the tenure track you will be appointed as Assistant Professor for the duration of six years. Section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency.

Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

Information and application

For information about this vacancy, you can contact Prof. Wouter Serdijn, email:

For information about the selection procedure, please contact Mrs. L.M. Ophey, HR-Advisor, email:

To apply, please submit by email a detailed CV that includes a list of publications, contact information of at least three scientists whom we can contact for letters of recommendation, and a research and teaching statement along with a letter of application by November 30, 2018 to:

When applying please mention vacancy number EWI2018-28.

Prof. dr. Makinwa installed as KNAW member

On 17 September 2018 Prof. Kofi Makinwa was inaugurated as KNAW (The Royal Netherlands Academy of Arts and Sciences) Member. KNAW Members are selected for their scientific and scholarly achievements. The 21 new Dutch KNEW Members were installed during a festive ceremony at the The Amsterdam Public Library, central branche.

Professor Kofi Makinwa builds sensors based on chip technology. One of his achievements is a wind sensor without moving parts. Sensors form the connection between the real world and computers. ‘My field involves designing smart sensors: microchips that combine sensors and signal processing,’ explains the TU Delft Professor of Microelectronics. ‘I build chips that can ‘feel’ their environment, as it were, that can process this information and subsequently transfer it to a computer, all in one. Chip technology means that we can produce them very cheaply. Tyre pressure sensors in cars are one example of such a sensor. They measure the pressure in a rotating tyre and communicate the information wirelessly to the dashboard. Or the temperature sensors that can be found everywhere nowadays: in your smartphone, your car, your household appliances. Sensors that I developed at TU Delft are now in production at companies including SiTime, AMS and NXP, and are being used in Apple’s latest gadgets, for example’. Students appreciate Makinwa's enthusiasm and involvement. Thanks to Makinwa's contacts with the industry, they can often convert their designs into real prototypes. Makinwa was previously a member of the Young Academy of the KNAW and invented a cheap weather station for developing countries.

List of new members

Photos from the ceremony

Guillermo Ortiz selected as "Best 2017/2018 Graduate of EEMCS"

Guillermo Ortiz is selected as "Best 2017/2018 Graduate of EEMCS" by the Dean, and is nominated to compete for the Best Graduate of TU Delft (election on 6 November).

Guillermo did his thesis work on the topic of Graph Signal Processing, which was graded with a 10. Part of his work is already accepted for publication in the GlobalSIP 2018 conference, and has been submitted to an IEEE journal.


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Shahrzad Naghibzadeh EURASIP 3MT contest finalist

The 3MT (three minute thesis) contest is an international contest for students to explain their PhD thesis within 3 minutes. It is held across many universities and countries. In the EURASIP version, students in Signal Processing are invited to submit their 3-minute video, and the best ones are invited to present their work on stage during the EUSIPCO conference.

In 2018, Shahrzad Naghibzadeh was one of 10 selected students to present her work, in the conference auditorium. By ballot of the over 200 people in the audience, she ended up in the top-three (see picture). The final selection was done by an award committee; the #1 place went to Virginie Ollier.


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The Medicine of the Future you take only once, and it is Bioelectronic

Guess what rheumatoid arthritis, Crohn's disease, blindness, deafness and paralysis have in common; they all can be successfully treated with bioelectronic medicine. In this 30 minute presentation at the Delft University Health College prof. Wouter Serdijn explains why and how.

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Geert Leus in IEEE ICASSP Top Downloads

An 2015 ICASSP paper co-authored by Geert Leus made it to the Top-20 Downloads list of ICASSP papers over 2015-2017.

The paper is "Compressed Sensing Based Multiuser Millimeter-Wave Systems: How Many Measurements Are Needed?", by Ahmed Alkhateeb, Geert Leus, and Robert Heath. Last year, the related journal paper also won a best (young author) paper award.

The overview of top-downloaded papers was published in IEEE Signal Processing Magazine, July 2018.

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Van Droom naar Daad

Interview van Studium Generale met Wouter Serdijn over de menselijke cyborg.

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Hoe verbeteren chips het menselijk lichaam?

Ruim 200 Nederlanders lopen al rond met een chip in hun lichaam, en het aantal groeit. Dat kan voor allerlei doeleinden zijn, van gemak tot verbetering van de kwaliteit van leven. Interview met Tom Oudenaarden en Wouter Serdijn op NPO Radio 1, woensdag 27 juni 2018.

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Analog Integrated Circuits No. 1 OCW course in Microelectronics, No. 2 in Electrical Engineering

And again our Open CourseWare course Analog Integrated Circuit Design (ET4252) has the most page views of 2017. 14,790 page views!

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Zhao Chen wins second prize in SSCS Benelux Chip Design Contest

For the third year, the IEEE SSCS Benelux Chapter organized a Chip Design Contest for MSc and PhD students in the Benelux. This year, the second prize was won by Zhao Chen, for his contribution “A Front-End ASIC with Integrated Subarray Beamforming ADCs for Miniature 3D Ultrasound Probes”. Zhao received the award at the 2018 SSCS Benelux Chip Design Workshop, which was held at the University of Leuven on May 22, 2018.

More details on Zhao’s award-winning work can be found in the following paper: C. Chen, Z. Chen, D. Bera, E. Noothout, Z. Y. Chang, M. Tan, H. J. Vos, J. G. Bosch, M. D. Verweij, N. de Jong, and M. A. P. Pertijs, “A 0.91mW/element pitch-matched front-end ASIC with integrated subarray beamforming ADC for miniature 3D ultrasound probes,” in Dig. Techn. Papers IEEE International Solid-State Circuits Conference (ISSCC), pp. 186-188, Feb. 2018.

Objectief en gericht behandelen van patiënten met elektroceutica

Medici grijpen vaak naar farmaceutische middelen om een kwaal bij een patiënt te verhelpen. De elektronische tegenhanger werkt in sommige gevallen echter beter. Langzaam wint deze techniek terrein zoals bij behandelingen voor het syndroom van Tourette, epilepsie en oorsuizen. Elektroceutica, een medische toepassing van bio-elektronica. Klein, flexibel en intelligent. Artikel in, over een presentatie van prof. dr. ir. Wouter Serdijn, hoogleraar bio-elektronica aan de Technische Unversiteit Delft.

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KNAW chooses Kofi Makinwa

Prof. Dr. Kofi Makinwa, Professor Electronic Instrumentation and chair of the Micro Electronic department to the faculty of EEMCS, is selected as a new member of The Royal Dutch Academy of Sciences (KNAW). Members of the KNAW, leading scientists from all disciplines, are chosen on their scientific achievements. The new academy members will be installed in September.

Professor Kofi Makinwa builds sensors based on chip technology. One of his achievements is a wind sensor without moving parts. Sensors form the connection between the real world and computers. ‘My field involves designing smart sensors: microchips that combine sensors and signal processing,’ explains the TU Delft Professor of Microelectronics. ‘I build chips that can ‘feel’ their environment, as it were, that can process this information and subsequently transfer it to a computer, all in one. Chip technology means that we can produce them very cheaply. Tyre pressure sensors in cars are one example of such a sensor. They measure the pressure in a rotating tyre and communicate the information wirelessly to the dashboard. Or the temperature sensors that can be found everywhere nowadays: in your smartphone, your car, your household appliances. Sensors that I developed at TU Delft are now in production at companies including SiTime, AMS and NXP, and are being used in Apple’s latest gadgets, for example’. Students appreciate Makinwa's enthusiasm and involvement. Thanks to Makinwa's contacts with the industry, they can often convert their designs into real prototypes. Makinwa was previously a member of the Young Academy of the KNAW and invented a cheap weather station for developing countries.

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Slimme sensor die energie uit de lucht plukt, heeft eindeloos veel toepassingsmogelijkheden

Begin oktober gingen ze in het kader van een pilot het asfalt in: slimme sensoren die de temperatuur in het wegdek meten, zodat onder andere veel gerichter en efficiënter tegen gladheid kan worden gestrooid. De innovatie werd mede mogelijk gemaakt door de sectie Bioelectronics binnen de faculteit Elektrotechniek, Wiskunde en Informatica van de TU Delft die zich volgens hoogleraar Wouter Serdijn vooral bezig houdt met…de elektronische behandeling van aandoeningen in het menselijk lichaam.

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Maakt bio-elektronica medicijnen overbodig?

Artikel van ir. Jim Heirbaut in De Ingenieur, d. 9 april 2018, over dat sommige reumapatiënten minder last van ontstekingen in hun gewrichten hebben als er onschuldige stroompulsjes worden losgelaten op de zenuwbundel in hun hals. Met daarin een bijdrage van Wouter Serdijn, hoogleraar bioelektronica aan de TU Delft.

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How Master student Alberto contributes to impact

Master student Alberto Gancedo from Spain got the opportunity, via Delft University Fund, to start his Master’s programme Microelectronics at TU Delft in September 2017. Besides studying, he is also working on his own project ‘Amplitude-integrated EEG measurement system (aEEG)’. Alberto’s goal: to develop a small, portable and cheap monitoring device to detect babies unusual brain activity directly after birth.

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NWO-High Tech Systems and Materials proposal awarded to ECTM

Sun sensors, which are used to determine the satellite orientation towards the sun, are a vital part of the satellite attitude control. Current commercial available sun sensors are too large and costly to be integrated in the small satellites, e.g., nanosats. Due to the low costs of these satellites, they enable a wide range of applications which otherwise would not be possible or cost-effective. By developing a sun sensor that is fully integrated on a single substrate, the overall size of the sensor can be significantly reduced and costly extra calibration is avoided. By using SiC as material, we secure high performance and high reliability under harsh environment. In addition, the sensor will not be sensitive to reflections of the earth, as it uses the parts of the light spectrum absorbed by the atmosphere.

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“Leopold B. Felsen Award for Excellence in Electrodynamics” for Dr. Giorgio Carluccio

Dr. Carluccio will receive the price during the EuCAP conference EuCAP (April 9th-13th), in Londen (UK)

InForMed selected as success story by the EC

The EU-and industry-funded InForMed project has developed a new platform approach to the innovation chain for next-generation medical devices, giving a boost to European manufacturers, in particular SMEs. The project has established a facility that companies can use to manufacture and test prototype micro medical devices, ensuring European leadership in this vital technology-based sector.

Full article: click

TU Delft stands strong at the 2018 “Chip Olympics”

From February 11 to 15, the 65th International Solid-State Circuits Conference (ISSCC) will be held in San Francisco. ISSCC, the most prestigious and competitive scientific conference in the field of chip design and sensors, is informally known as the “Chip Olympics.” With ten papers, a forum presentation and a tutorial, TU Delft continues its significant yearly contribution to this prestigious conference.

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Slimme contactlenzen en andere medische gadgets in je lijf

Onderzoekers van de technische universiteit van Ulsan in Zuid-Korea zeggen een lens te hebben ontwikkeld die bloedsuikerwaarden uitmeet. Over deze lens en andere bio-elektronische medicijnen praten we met Wouter Serdijn. Hij is hoogleraar bio-elektronica aan de TU Delft. Item op NPO Radio 1, Nieuwsweekend, zaterdag 27 januari 2018.

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IEEE Robert Bosch MEMS Award

Lina Sarro is the 2018 recipient of the prestigious IEEE Robert Bosch Micro and Nano Electro Mechanical Systems Award. This award is to recognize and honor advances in the invention, design, and/or fabrication of micro- or nano- electromechanical systems and/or devices. The award citation reads “For pioneering contributions in novel materials, material integration and innovations in MEMS and strong commitment to education and technology transfer.” The award was presented at the IEEE MEMS 2018 Conference, on the 22nd of January 2018.

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New project: PRYSTINE

Rene van Leuken, together with his team (Sumeet Kumar, Amir Zjajo), and Said Hamdioui at CE acquired part of a new EU project "PRYSTINE". The aim is to design programmable compute hardware for automatic driving functions, across two application targets: data fusion for robust perception; and acceleration of AI frameworks for decision making. The emphasis is on low-power compute platforms.

While the overall budget of the project is 50 ME and spans over 60 partners, Delft will sign up for 1.8 ME.

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Geert Leus Editor-in-Chief of Elsevier Signal Processing

Starting 1 January 2018, Geert is the new Editor-in-Chief of Elsevier Signal Processing (IF: 3.1)

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Grant for the development of smart cathethers & implants

Ronald Dekker, Vasiliki Giagka, Paul de Wit, Wouter Serdijn and Lina Sarro received a grant concerning the development of smart catheters and implants. The project is financed by ECSEL Innovation actions, Call 2017.

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3D Ultrasound using a single transducer element

Pim van der Meulen, Geert Leus and our collaborators at Erasmus MC show how this is possible using a phase mask and compressed sensing,

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(only available in Dutch) Nederlands leger zet sterk in op de nieuwste radar technologie

De aanwezigen kregen inzicht in ontwikkelingen van nieuwe sensorsuites, onderzoeksprogramma's, drone-bestrijding en de toekomstige ontwikkelingen op radargebied. Zo gebruiken strijdende partijen gebruiken steeds vaker drones om doelen op te sporen en zelfmoordterroristen hiernaar toe te leiden, maar met de nieuwe Multi Missie Radar is dit allemaal te traceren.

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Michele D'Urbino wins the A-SSCC Student Design Contest

The Award Ceronomy at the A-SSCC conference

At the 2017 Asian Solid-State Circuits Conference (A-SSCC), Michele D'Urbino won the Student Design Contest with the paper "An Element-Matched Band-Pass Delta-Sigma ADC for Ultrasound Imaging". Michele worked in Michiel Pertijs' group at the Electronic Instrumentation Lab and obtained his MSc Degree earlier this year.

Michele developed an analog-to-digital converter (ADC) capable of digitizing the signals received by every individual element of a 2D ultrasound transducer array. This is an important step towards the realization of next-generation ultrasound probes with full in-probe digitization of the received echo signals. Michele’s ADC has an record-small element-matched size of 150 μm × 150 μm, which is realized by exploiting each piezo-electric transducer element not only as the signal source, but also as the electro-mechanical loop-filter of a continuous-time band-pass ΔΣ ADC.

A-SSCC is a major IEEE Conference on Integrated Circuit Design, and was held in Seoul on Nov. 6-8. At the conference, Michele gave a live demo of his prototype. This work is a collaboration with Oldelft Ultrasound, and was co-authored by Chao Chen, Zhao Chen, Zu-Yao Chang, Jacco Ponte, Boris Lippe and Michiel Pertijs.

4 papers accepted @ IEEE MEMS 2018!

Also this year ECTM will be present at the IEEE MEMS conference , the flagship conference in this field, and this time with 4 papers! Congratulations to Aleksandar, Juan, Nico, William and all co-authors!

Electrical Implants -- small devices with huge potential

Since the introduction of the pacemaker in 1958, much has changed in the world of electrical stimulation. Whereas the first electrical implants targeted muscles, the implants of today are flexible and focus mainly on the nerves in our body. The concept, however, remains unchanged: electrical implants give control back to the body. Vasiliki Giagka, Assistant Professor of Bioelectronics at TU Delft, talks about the past, present and future of her field of research.

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TU Delft "Female Fellowship" Tenure Track Academic Positions

All academic levels; apply before Jan 8, 2018.

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Kofi nominated for the Huibregtsenprijs 2017!

Kofi was one of 6 candidates nominated for the Huibregtsenprijs 2017! See the short film about his project at:

Ten papers from TU Delft at the 2018 Chip Olympics

Ten papers from the TU Delft were accepted for publication at the 2018 chip Olympics - the International Solid-State Circuits Conference (ISSCC)

PhD thesis Solid State Lighting Color Shift

Congratulations to Guangjun Lu for his PhD thesis defense on 26 September 2017

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PhD thesis The Lifetime Prediction of LED Drivers and Lamps

Congratulations to Bo Sun for his PhD thesis defense on 26 September 2017

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Chao Chen wins Best Student Paper Award

At the 2017 IEEE Ultrasonics Symposium in Washington DC, PhD student Chao Chen has won the Best Student Paper Award. Chao works in Michiel Pertijs’ group at the Electronic Instrumentation Lab on integrated circuits for miniature ultrasound probes, in close collaboration with the Acoustical Wavefield Imaging group at TNW, and the Thoraxcenter at Erasmus MC. Chao’s paper describes a chip that makes it possible to connect 1000’s of small ultrasound transducer elements integrated at the tip of an endoscope or catheter to an imaging system. It represents an important step towards the realization of future miniature 3D ultrasound probes. The International Ultrasonics Symposium is IEEE’s main forum for researchers to present new results and learn about recent advances in medical and industrial ultrasonics.

ESSCIRC 2016 Best Paper Award

On 14th September 2017, Ph.D. student Junfeng Jiang has won the ESSCIRC 2016 Best Paper Award for his paper "A Hybrid Multi-Path CMOS Magnetic Sensor With 76 ppm/°C Sensitivity Drift". Junfeng works in Kofi Makinwa's group at the Electronic Instrumentation Lab on wide bandwidth magnetic sensors for current measurements.

Geert Leus appointed IEEE SPS Distinguished Lecturer

Geert Leus has been selected to serve as an IEEE Signal Processing Society Distinguished Lecturer for the term 1 January 2018 through 31 December 2019. This is considered a prestigious sign of recognition.

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Denk de koffiezet aan

Elon Musk droomt hardop van telepathische communicatie en van een veel grotere geheugeninhoud. Het zijn ideeën die wetenschappers en hippies in de sixties al koesterden, maar die vandaag nog gul op scepticisme stoten. Artikel van Tomas Van Dijk, in de Belgische krant De Standaard, d. 4 augustus 2017. Met bijdragen van Dirk de Ridder (University of Otago, Nieuw-Zeeland) en Wouter Serdijn (TU Delft / Bioelectronics).

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Hebben wij het eeuwige leven?

Artikel in De Telegraaf, d. 29 juli 2017, van Wouter van Bergen, over transhumanisme en de rol van technologie. Met daarin een interview met Wouter Serdijn (TU Delft/Bioelectronics).

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NWO Take-Off Grant for organ-on-a-chip development

PhD candidates Cinzia Silvestri, William Quiros Solano and Nikolas Gaio (start-up Biond ) and Ronald Dekker have successfully applied for a NWO Take-Off Grant (Phase 1) for organ-on-a-chip development.

"In vitro screening is a fundamental step during drug development. A crucial need of pharmaceutical companies is to assess drug safety at the early stage of the pipeline to identify and eliminate compounds that exhibit a potential for adverse drug reactions. However, at least 462 medicinal products were withdrawn from the market between 1953 and 2014, with consequences for patients, regulatory systems and pharma companies. Therefore, the traditional screening approach, based on in vitro static cell culture assays, is considered not predictive enough. This limitation has increased the interest in more realistic models: Organs-on-chips (OOCs). Organ-on-Chips are micro-fluidics devices designed to simulate in vivo human physiology by promoting cell and tissue growth in vitro.

BIOND developed an innovative microfluidic system for OOCs that provides a dynamic micro-environment suited to highly predictive cell culture models, that allows real-time recording of a comprehensive set of data of the cell culture with a user-friendly interface. In particular, this project will aim at improving the user interface focusing on three main aspects: Usability, Functionality and Versatility"

Winner Internet of Things Pitch: Sjoerd Bosma

On July 5th 2017 The Micro-electronics organized an Internet of Things pitch session in which staff and students could present an idea in two minutes. Eventually ten ideas were pitched followed by the yearly summer drinks.

Winner of the pitches is master student Sjoerd Bosma. With his pitch Future Intelligent & Autonomous System for Coordinated Open parking Spaces (FIASCOS) he thought of a solution to avoid endlessly driving around in circles trying to find a parking spot in the inner cities. He suggests putting free parking spots in navigation systems. Energy harvesting technologies can be used for that; little sensors that harvest their own energy from their surroundings. These sensors can be built in e.g. little speed bumps in front of each spot. In that way the sensor can know if there is a car parked in the spot and can pass on that information to the navigation system.

Sjoerd admitts that he is probably not the first persons that thinks of connecting parking spots to navigation systems. Probably people are working on simular solutions, but with expensive wiring and infrared camera's. The little energy harvesting sensors would be much cheaper and maintenance free.

It doesn't have that much to do with Sjoerds master thesis. He will graduate in the Terra Hertz Sensing group in August where he worked on antennas and optics for sub-milimeter astronomy.

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BSc Group at ELCA awarded with IEEE Best High Tech Start-up Business Plan

At the Bachelor Electrical Engineering Graduation Grand Finale held on 7 July 2017, the six-student group formed by Bilal Bouazzata, Laurens Buijs, Jun Feng, Martijn Hoogelander, Alexander Louwerse and Niels van der Kolk received the IEEE Best High Tech Start-up Business Plan award from Koen Bertels for their business plan on the topic of their graduation project at ELCA.

The group was supervised by Marco Pelk and Morteza Alavi while the project was proposed by Leo de Vreede.

During this project, the group accomplished a proof of concept for a promising "interpolating-supply" power amplifier efficiency enhancement technique, laying a foundation for future research.

Five papers Michiel Pertijs' group on IEEE International Ultrasonics Symposium (IUS)

At the coming IEEE International Ultrasonics Symposium (IUS), five papers will be presented that are (co)authored by the Ultrasound ASICs group of Michiel Pertijs. IUS is IEEE’s primary forum for medical and industrial ultrasound research, and will be held in Washington in September. The 5 papers describe advanced combinations of integrated circuits and ultrasound transducers to enable next-generation miniature 3D ultrasound probes, including an endoscope-based probe for echocardiography, a catheter-based probe for intra-vascular imaging, and a probe for imaging of the carotid artery. One of the papers, co-authored by Chao Chen and Zhao Chen, has been selected as a finalist for the Student Paper Competition. Moreover, Chao has been awarded a Student Travel Grant to present his work at the conference.

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Samprajani Rout's ISCAS 2017 paper among top papers of the conference

ISCAS 2017 paper No. 1849, entitled “Structured Electronic Design of High-Pass ΣΔ Converters and Their Application to Cardiac Signal Acquisition” has been selected as one of the top contributions to the conference and an extended version of the paper has been invited for the TBioCAS Special Issue on ISCAS 2017. Authors of the paper are Samprajani Rout and Wouter Serdijn (Section Bioelectronics)

Abstract of the paper:

Achieving an accurate sub-Hz high-pass (HP) cutoff frequency and simultaneously a high accuracy of the transfer function is a challenge in the implementation of analog-to-digital converters for biomedical ExG signals. A structured electronic design approach based on state-space forms is proposed to develop HP modulators targeting high accuracy of the HP cutoff frequency and good linearity. Intermediate transfer functions are mathematically evaluated to compare the proposed HP Sigma-Delta topologies with respect to dynamic range. Finally, to illustrate the design method, an orthonormal HP Sigma-Delta modulator is designed to be implemented in 0.18 um technology which achieves a linearity of 12 bits.

NWO Take-Off Grant (Phase 1) for Ide Swager and Menno Gravemaker (Momo Medical) and Wouter Serdijn (Section Bioelectronics)

Pressure ulcer wounds are a global problem in healthcare institutions, still. These wounds cause a lot of pain and discomfort for the patient, a high workload for the caregivers and cost a lot of money, in the EU alone already more than 15 billion Euros each year. TU Delft spin-off Momo Medical has developed a smart sensor bed sensor that solves this problem.

In this project, the following steps are taken to test the smart bed sensor in practice, in the Living Lab of the Reinier de Graaf Hospital. In addition, further commercial development is done by approaching more potential customers and understanding the cost structure of the product better when scaling up.

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Vasiliki Giagka elected member of the IEEE Biomedical and Life Science Circuits and SystemsTechnical Committee

At its annual meeting during the International Symposium on Circuits and Systems, Vasiliki Giagka (Section Bioelectronics) was elected member of the IEEE Biomedical and Lifescience Circuits and Systems Technical Committee.

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ABN Amro gaat betalen met je ring mogelijk maken

ABN Amro claimt de eerste bank ter wereld te zijn die het mogelijk maakt om met een ring te betalen in plaats van met een pinpas. De bank experimenteert daar momenteel mee met een selecte groep van klanten. Hoeveel mensen met de ring willen betalen, is nog maar de vraag. Volgens hoogleraar bio-elektronica Wouter Serdijn hangt dat ook af van wat de ring nog meer voor functies krijgt. Item van de NOS, ook verschenen bij Finanzen en PowNed, d. 22 juni 2017.

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NWO Demonstrator Grant awarded to Wouter Serdijn (Bioelectronics) and Cees-Jeroen Bes (in-Holland)

We recently developed a radically new technique, coined "additive companding", which solves important technological limitations of current neural recording systems. The technology has been patented, tested in the lab as proof of concept and is now ready to be developed further into a prototype. The foreseen prototype will allow for continuous and complete monitoring of neural activity, offers better performance and consumes drastically less volume (<400 µm x 400 µm x 400 µm) and energy (<<1 mW) than neural monitoring systems that currently exist or are under development. Clinically, the continuous and complete neural monitoring will offer new insights into the exact workings of nerve and brain tissue and it becomes possible to take the first step into the development of active medical implants that adjust themselves to the therapeutical needs of the patient without subjective measures. This, ultimately, enhances the health-related quality of life of patients with nerve and/or brain disorders and allows for a better treatment of a larger variety of nerve and brain disorders.

In de Zweedse trein kun je inchecken met een onderhuidse chip

Alleen uw hand even omhooghouden, waarna de treinconducteur die met zijn smartphone aanraakt en 'bliep': u bent ingecheckt. In Nederland is dit nog toekomstmuziek, maar in Zweden beleven treinreizigers momenteel de wereldwijde primeur in het openbaar vervoer: inchecken met een onder de huid aangebrachte microchip. Artikel in De Volkskrant en in De Morgen, d. 17 juni 2017, met een bijdrage van Wouter Serdijn

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Best Student Paper Award at the RIFC Symposium for Milad Mehrpoo (ELCA Group)

At the 2017 RFIC Symposium that was held on 4-6 June 2017 in Honolulu, Hawaii, USA, Milad Mehrpoo received the RFIC 2017 Best Student Paper Awards. The award was for the design of "A Wideband Linear Direct Digital RF Modulator Using Harmonic Rejection and I/Q Interleaving RF DACs". Mohsen Hashemi and Yiyu Shen were his co-authors while Leo de Vreede and Morteza Alavi were his advisors. This work was supported by EU Catrene project EAST and Dutch STW project SEEDCom.

This is how we will become bionic super humans

Tech companies want to fix spinal cord injuries and make enhanced super humans that communicate through telepathy, or so Prof. Wouter Serdijn heard at a meeting this spring in Washington. There are some snags though.

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Kick off meeting Integrated Cooperative Automated Vehicles (i-CAVE)

On June 6 and 7, 2017 the two days kick off meeting of the i-Cave project took place at the TU Eindhoven.

This NWO research program addresses current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving. In i-CAVE, a cooperative dual mode automated transport system is researched and designed, consisting of dual mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological roadmaps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today's and future mobility demands.

Quick Facts of iCAVE
Number of Participating Organizations = 5

  • Eindhoven University of Technology, Eindhoven
  • University of Twente, Enschede
  • Delft University of Technology, Delft
  • University of Amsterdam
  • Radboud University, Nijmegen
i-CAVE focuses on 7 research lines:
  1. Sensing
  2. System control integration
  3. Dynamic fleet management
  4. Communication
  5. Human factors
  6. Functional safety
  7. Living-lab evaluation
Contribution of Microwave Sensing, Signals and Systems (MS3)
Prof. DSc. Alexander Yarovoy, Dr. Faruk Uysal and PhD. candidate Nannan Chen, conduct research under the Communication research line of i-CAVE project in close collaboration with Information and Communication Theory (ICT) Lab of Eindhoven University of Technology (TU/e). The research of group aims to implement RADAR-based communication, allowing advanced driver assistance systems to be used as both sensors and communication devices, realizing a more robust and synergetic approach to sensing and communication for safe high-speed automated and cooperative driving. To address interaction capabilities between vehicles and environment, we focus on radar processing methods with signals that allow for communication functionality. MS3 is highly cooperating with NXP on this.

Other Participants from TU Delft:
In addition to the MS3 group in EWI, Rudy Negenborn and Gabriel Lodewijks of the department of Maritime and Transportation Technology in the faculty 3mE will be conducting extensive research into dynamic fleet management of groups of automated vehicles.

Best student paper award VLSI Symposium for PhD Bahman Yousefzadeh

At the 2017 VLSI Symposium, Bahman Yousefzadeh received the 2016 best student paper award! The award was for the design of a CMOS temperature sensor with record-breaking inaccuracy of less than +/-0.06 °C over a wide temperature range (-70 °C to 125 °C). Saleh Heidary and Kofi Makinwa were co-authors, and the work was done in collaboration with NXP Semiconductors. The resulting journal paper can be found in the here.

Best Student Presentation Award for Jamal Amini

At the 2017 Symposium on Information Theory and Signal Processing (Delft, 11-12 May), organized by the IEEE Benelux Chapter, Jamal Amini received a best student presentation award. Congratulations!

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Closure Math & Science class 2016-2016

After a thorough selection, 25 motivated high school students were selected to join the Math&Science class 2016-2017. A joint collaboration with Betasteunpunt Zuid Holland and the Technical University Delft. The Math & Science class challenges pupils to solve math problems in a non traditional way, to think out of the box. But also do the pupils get acquainted with several aspects of the scientific research that is done at the TU Delft. For example they had lectures from Dr. Arno Smets on solar energy and they visited the cleanroom at the Else Kooi lab. The last 10 weeks they designed and made a solar boot, implementing the knowledge they gathered during weeks they had their science lectures. On Friday June 2, the solar boots will be tested and the students will receive their certificate during a festive closure event at the Campus. In the water before the Industrial design fault, 5 teams will have a race with their boots., their school teacher, parents and the TUD lecturers as an audience. After the race, the pupils will present the journal they worked on, and receive their certificate.

EI Lab hosted the 2nd Chip Design Workshop

EI Lab hosted the 2nd Chip Design Workshop organized by IEEE Solid-State Circuits Society (SSCS) Benelux Chapter on 23 May 2017. The event was attended by 29 SSCS Benelux Chapter members. The purpose of the workshop was twofold: it brought together the Benelux SSCS members around their common passion for IC design, and the winners of the 2016–2017 Student Chip Design Contest were awarded their prizes. The workshop was opened by Prof. Kofi Makinwa’s welcome. Prof. Filip Tavernier of KU Leuven, representing SSCS Benelux Chapter, then gave a short presentation about the purpose of the workshop and gave the awards to the winners: Burak Gönen (TU Delft), Bert Moons (KU Leuven) and Nicholas Butse (KU Leuven). The winners then gave short talks on the topics of their works including a wide range of applications: ADCs, digital processors, and power converters. These talks were followed by two invited speakers from TU Delft. Klaas Bult’s talk “Design mistakes you’d rather not talk about” summarized the common design mistakes he faced as an expert in the industry. Prof. Fabio Sebastiano’s talk “Cryo-CMOS for Quantum Computing” was on the challenges and the IC design research for quantum computing at TU Delft. The workshop was concluded with a reception where all the attendees found a chance to meet in person.

Major grant for 'Organ-on-a-chip' research

The research project NOCI (Netherlands Organ-on-Chip Initiative) has been awarded a prestigious NWO Gravitation subsidy (Zwaartekracht premie) of 18.8 million euros. The program is led by Christine Mummery, Professor of Developmental Biology at the LUMC and UT, and involves five other renowned scientists: Michel Ferrari (neurologist, LUMC), Albert van den Berg (nanotechnologist, UT), Hans Clevers (cell biologist, Hubrecht Institute), Cisca Wijmenga (human geneticist, UMCG) and Lina Sarro (nanotechnologist, TU Delft), all linked to the organ-on-chip consortium Human Organ and Disease Model Technologies (hDMT). NOCI aims at creating a new platform, based on a combination of human stem cells and microchips, to learn more about the development of diseases and to better predict the effect of medicines, and will be a decisive step towards personalized health care.

Prof Lina Sarro: ‘The three-dimensional micro- and nano-structuring of silicon and polymers developed at TU Delft enables us to replicate organ functions precisely and reproducibly. Electrodes and sensors can be integrated in order to provide electromechanical stimulation and read out of the cells. In addition, the IC (integrated circuit)-compatible microfabrication techniques used allow large-scale production with high reproducibility, which is essential for a wide use and later commercialisation of these devices’.

For more information:
EEMCS website
hDMT website

Photograph by: Melvin Tas


Daniele Cavallo received the "Best Paper Award in Electromagnetics and Antenna Theory" at the European Conference on Antennas and Propagation (EuCAP 2017), held in Paris, France, on 19-24 March 2017.

The paper awarded is titled "Analysis of Artificial Dielectrics Composed of Non-Aligned Layers," and was coauthored with the master student Cantika Felita.

EuCAP is one of the major international conferences in the field of antennas and propagation, with about 1300 attendees from academia, research centers and industry and 950 papers presented.

Robots are electric animals

On Aprl 6, Chris Verhoeven, member from the Electronics Groups has been interviewed on NPO 2 in the Programme "Kennis van Nu". The theme is Robots are like animals. De Kennis van Nu op 6 april om 19.20 uur op NPO2

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Else Kooi Award Ceremony for Masoud Tohidian (Electronic Research Laboratory)

The 2017 Else Kooi Award has been given to Dr Massoud Tohidian during the Award Ceremony at ICT open in Amersfoort on March 22, 2017. The Award was given by professor Bram Nauta (University of Twente), chair of the Else Kooi Award Foundation. Dr Tohidian was granted with the award for his scientific research on high-performance super-heterodyne receivers that are implemented using a minimum of analog circuits.

Masoud Tohidian obtained his PhD in September 2015 at the Electronics Research Laboratory group of the EEMCS Faculty, Delft University of Technology.

The Else Kooi Award is an annual award for young researchers in the field of applied semiconductor research conducted in the Netherlands. The award comes with a prize of 5,000 euros.

Massoud studied high-performance super-heterodyne receivers at the system and architectural level as well as the most critical building blocks at the circuit level. As part of his project, he designed new approaches to especially the bandpass filter, realizing a performance that exceeded the state of the art by a significant margin on several key parameters. Furthermore, he integrated these filters in a flexible super-heterodyne receiver, verifying and demonstrating the performance that can be achieved through this approach.

The jury of the Else Kooi Award concludes that this work is a combination of high quality theoretical analysis, modelling, design and experimental verification at the system, architectural and circuit level, resulting in high performance filters and receivers with a high scientific impact as well as high industrial relevance.

For more information please contact Prof. Edoardo Charbon from the Else Kooi Award foundation: phone +31 (0)15 278 36 67, email:

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Alberto Gancedo-Reguilon awarded grant from the Delft University Fund and Electrical Engineering Alumni

A year ago our faculty took part in a pilot mailing of the University Fund to acquire funding by alumni. The result was positive with a result of €5000 to fund a student project at EEMCS.

The selected project for this funding is of a Spanish Bachelor student called Alberto Gancedo, who did an internship at our Micro-Electronics department (Section Bioelectronics) and at HealthTech BV. He is working on an aEEG Measurement System. His goal is to create a portable and affordable tool to track brain development of neonatal babies. These tools are already available, in developed countries. However, these are big and expensive devices. Alberto's tool can be used in any hospital, instead of just a few, and also in developing countries because of low production costs and its small size. The prototype is ready and Alberto will return to Delft in September to start his Masters' degree and to continue with this project.

About the University Fund

The University Fund would like to give young talent the chance to shine. Therefore they hand out funding for e.g. internships abroad, study trips and participation at international conferences. Excellent achievements are rewarded too with funding and recognition.

Burak wins 1st prize in the SSCS Benelux Chapter's Student Chip Design Contest!

Burak Gonen won 1st prize in the Student Chip Design Competition organized by the Benelux Chapter of the IEEE Solid-State Circuits Society (SSCS). He received the award for the design of "A Dynamic Zoom ADC with 109-dB DR for Audio Applications." The ADC, developed in collaboration with NXP, achieves state-ot-the-art performance in terms of both its area and energy efficiency.

To recognize the excellence and to promote chip design in Benelux region, the IEEE Solid State Circuits Society Benelux Chapter organized a chip design contest for students. The Award includes 750€ as well as a travel grant up to 1000€ for Advances in Analog Circuit Design Workshop (AACD) or European Solid State Circuits Conference (ESSCIRC). The awards will be given in a workshop at TU Delft in spring 2017 together with the award winners' presentations and other technical talks about chip design research in TU Delft.

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Rob Remis appointed Associate Professor

Per 1 January, Rob Remis has been promoted by the Dean to the rank of UHD (Associate Professor). Congratulations!

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A need to amplify and combine to enable 5G in higher frequencies

Our society's social and streaming behaviour speeds up the need for 5G. Marco Spirito, Daniele Cavallo, Masoud Babaie and Andrea Neto (Microelectronics) are all working on the 'key building' blocks that will enable 5G systems in the near future. Advanced 5G solutions are targeted in the WhALE project (WAtt LEvel transmitters at mm-waves), which is backed by STW. Marco: "And of course, as scientists, we are working on the more challenging building blocks. We are looking for alternative solutions, something that the industry would find extraordinary. The goal is to move to higher frequencies and to transmit, instantaneously large volumes of data. The frequency shift will result in lower available power, which we need to fix with new amplifier concepts. To achieve this there is a need to amplify and combine in this project : smart combining technologies. We are also resourceful in using new 'stuff' like 3D printing in our solutions".

Kofi Makinwa in BNR radio show about the influence of computer chips

On Wednesday January 18th Kofi Makinwa, chair of the Microelectronics Department has participated in the radio show of Business News Radio 'Ask Me Anything' presneted by Jörgen Raymann. The topic of the show is the influence on our daily lives of computer chips. Besides Professor Kofi Makinwa Professor Bram Nauta from the University of Twente participated as well. The public was given the opportunity to submit questions for the two professors. Listen to the show online Listen to the show online

Two IEEE SPS Best Paper Awards

Selected for the 2016 IEEE Signal Processing Society Best Paper Award:
Cees H. Taal, Richard C. Hendriks, Richard Heusdens, and Jesper Jensen
“An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech”
IEEE Transactions on Audio, Speech, and Language Processing, Volume 19, No. 7, September 2011

Selected for the 2016 IEEE Signal Processing Society Young Author Best Paper Award:
Ahmed Alkhateeb, Omar El Ayach, Geert Leus and Robert W. Heath, Jr.
“Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems”
IEEE Journal of Selected Topics in Signal Processing, Volume 8, No. 5, October 2014.

The awards will be presented at the Awards Ceremony at ICASSP 2017 in New Orleans, LA

Acting on the potential of action potentials: will bioelectronic medicines be the next biologics?

Article by Emma Dorey in The Pharmaceutical Journal, 9 DEC 2016. In there, an interview with Wouter Serdijn

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Rob Remis wins STW Open Mind 2016 award

At their annual congres, STW awarded 5 grants (each 50 kE) to research teams to enable them to explore 'risky research' ideas. Martin van Gijzen, Andrew Webb and Rob Remis presented one of the winning proposals: an affordable MRI instrument based on permanent magnets (as opposed to superconducting magnets) for detecting hydrocephalus.

Short movie presenting the idea.

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Universiteit van Nederland: Hoe kun je een dove laten horen en een blinde laten zien?

Hoe kun je een dove laten horen en een blinde laten zien?

Door prof. dr. ir. Wouter Serdijn

Doven weer laten horen en blinden weer laten zien: het lijkt misschien een godswonder, maar in principe heb je genoeg aan een superslimme chip. Hoe dat precies werkt weet elektronicus Wouter Serdijn (TU Delft) als geen ander. Laat je rondleiden in een wereld die zich op de vierkante millimeter afspeelt en ervaar zelf hoe het klinkt om met een chip te horen.

prof. dr. ir. Wouter Serdijn

Je lijf aansturen met behulp van bio-elektronica, dat is de tak van sport van prof. dr. Wouter Serdijn (TU Delft). Met behulp van implanteerbare chips in je lijf kun je je brein een handje helpen om losse elektronische eindjes weer goed aan elkaar te knopen. Het gevolg? Patiënten beter laten zien, horen of minder laten trillen (bij bijvoorbeeld Parkinsonpatienten).

De Universiteit van Nederland

Uitgezonden op 14 november 2016, om 20:30 uur. De Universiteit van Nederland is te bekijken via YouTube,,, Ziggo TV en sinds kort aan boord van alle KLM-vliegtuigen. De stichting wordt gesteund door 13 Nederlandse universiteiten, Ziggo, Deloitte, DELA en Shell.

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3 papers accepted @ IEEE MEMS 2017

For the second year in a row, ECTM will be present at the IEEE MEMS conference , the flagship conference in this field, with 3 papers! Congratulations to Cinzia, Violeta, Aleksandar and all co-authors!

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Vacancy: Team manager for Electrical Engineering Education (EEE)

The Faculty of EEMCS is creating a special team to fully focus on teaching using our unique and innovative ‘Delft method’. This method integrates practical and theoretical electrical engineering education and trains students to be hands-on, theoretically versed electrical engineers ready for a future career in science or industry.

We are looking for a team manager specialising in Electrical Engineering Education (EEE) who will be both a group leader and a teacher in his/her capacity as the role model of EE Education.

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Vacancy: Assistant/Associate Professor of Bioelectronics

Department/faculty: Electrical Engineering, Mathematics and Computer Science Level: PhD degree Working hours: 38 hours per week Contract: Tenure track with possibilities for advancement Salary: €3400 to €6299 per month gross

Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty's excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future.

The Department of Microelectronics has a strong interdisciplinary research and education programme in the areas of 1. health and well-being 2. next generation wireless and sensing technology and 3. safety and security. With 11 IEEE Fellows among the staff, an excellent microfabrication infrastructure, electrical and physical characterisation facilities, and a strong international academic and industrial network, the department provides high-level expertise in each of these areas throughout the entire system chain.

The Bioelectronics section is a relatively new section that has been created to address coherently the challenges we face in developing wearable, injectable and implantable medical devices. This group conducts research, education and valorisation in the fields of ultra low-power analog and mixed-signal circuits and systems for active wearable, implantable and injectable biomedical microsystems.

Job description

The Bioelectronics group is offering a tenure-track position at the Assistant or Associate Professor level in the field of biomedical circuits and systems. You will further develop existing research topics, such as analog and mixed-mode circuits and systems for wearable and implantable medical devices and create new topics, which may include electroceuticals. You will be involved in teaching at the BSc and MSc levels in the TU Delft's Electrical Engineering and Biomedical Engineering programmes. Collaborative initiatives are strongly encouraged. You are expected to write research proposals for national and international funding organisations. This is a tenure-track position for a period of five years with the possibility of a permanent faculty position at the end of the contract, subject to mutual agreement.

A Tenure Track, a process leading up to a permanent appointment with the prospect of becoming an Associate or Full Professor, offers young, talented academics a clear and attractive career path. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the Tenure Track and the personal development programme, please visit


You must have a PhD degree in the field of biomedical circuits and systems (BioCAS) and some years of experience as a post-doc or university professor. You have an excellent academic track record, reflected by peer-reviewed journal publications, conference contributions, and international research experience. An affinity for working on the interface with other disciplines (biomedical engineering, neuroscience, electrophysiology, etc.) and with clinicians and medical researchers is preferred. You should have a demonstrated ability to initiate and direct research projects and to obtain external funding. Experience in teaching and mentoring of students is required. A teaching qualification is recommended. Demonstrated ability in written and spoken English is required.

Conditions of employment

A tenure-track position is offered for six years. Based on performance indicators agreed upon at the start of the appointment, a decision will be made by the fifth year whether to offer you a permanent faculty position. The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children's Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft sets specific standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

Information and application

For more information about this position, please contact Prof. Wouter Serdijn, e-mail: To apply, please provide a detailed CV, publication list, and a written statement on your research and teaching interests and vision along with a letter of application and the names and contact details of at least three references. Please e-mail your application by 1 December 2016 to L. M. Ophey, When applying for this position, please refer to vacancy number EWI2016-38.

Enquiries from agencies are not appreciated.

Boek: Vonken in de meterkast (Eng: Sparks in the meter box)

De schokkende strijd tegen depressie, Parkinson en andere hersenziekten

Ons brein is een meterkast, een netwerk van kabels dat het lichaam van stroom voorziet. Soms ontstaat er kortsluiting - kabels slijten, stoppen slaan door - met hersenziekten als gevolg. Op dat moment kan elektriciteit uitkomst bieden. Depressie, Parkinson en chronische pijn; met een stroomstoot kunnen steeds meer mensen van hun klachten worden afgeholpen.

In Vonken in de meterkast laat Bart Lutters ons kennismaken met de fascinerende wereld van de neurostimulatie; van de allereerste vonk tot de nieuwste wetenschappelijke ontwikkelingen. Wie is er ooit op het idee gekomen om een patiënt onder stroom te zetten? Welke ziektes kunnen er met stroom behandeld worden? En wat doet zo'n stroomstoot eigenlijk met onze hersenen? Vonken in de meterkast gaat over elektrische vissen en op-afstand bestuurbare stieren, robotarmen en gereanimeerde ledematen, maar vooral over hoe stroom ons al duizenden jaren beter maakt.

bart_luttersBart Lutters is zijn artsenopleiding aan het afronden (Selective Utrecht Medical Master) en wordt gefascineerd door alles wat met de hersenen te maken heeft. Hij heeft diverse prijzen gewonnen voor zijn onderzoek naar epilepsie en schrijft regelmatig over de geschiedenis van de geneeskunde in onder andere Brain, het toonaangevende wetenschappelijke tijdschrift op het gebied van de neurowetenschappen.

Vonken in de meterkast is vanaf 14 oktober verkrijgbaar in de betere boekhandel, ook online te bestellen via

Wouter Serdijn (hoogleraar bioelektronica aan de TU Delft) heeft middels interviews aan de inhoud van dit boek bijgedragen.

Best student lecture award Eurosensors

On the closing ceremony of the XXXth Eurosensors Conference, held in Budapest, Hungary from 4 to 7 September, the Best Student Lecture Award was given to: Ronald Stoute et al. �Intravascular Ultrasound at the tip of a guidewire: Concept and first assembly steps� Congratulations to Ronald and his co-authors!

Geert Leus named 2016 EURASIP Fellow

To recognize outstanding achievements in the broad field of Signal Processing, each year the European Association for Signal Processing (EURASIP) elevates a select group of up to maximum four signal processing researchers to "EURASIP Fellow", the Association's most prestigious honor.

The EURASIP Board of Directors (BoD) has awarded prof. Geert Leus as one of the 2016 Fellows, "for contributions to signal processing for communications".

The award consists of a certificate presented during the Opening and Awards Ceremony at EUSIPCO 2016, held in Budapest (Hungary) on August 30, 2016.

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Wouter Serdijn on Dutch radio station Radio 1

In the late evening show "Met het Oog op Morgen" of August 2, Wouter Serdijn comments on the future developments of Bioelectronic Medicine

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Pelin Ayerden has won Best Student Paper Award

Pelin Ayerden (Department of Microelectronics, Electronic Instrumentation Laborabory), who recently received her PhD degree from TU Delft, has won the best student paper award at SPIE Photonics Europe 2016, Micro-Optics Conference. The conference took place from 3 to 7 April in Brussels, Belgium. In her paper "A highly miniaturized NDIR methane sensor" coauthored by G. de Graaf, P. Enoksson and R. F. Wolffenbuttel, she demonstrated the functionality of a compact gas sensor for methane detection.

7 July 2016: Opening of CryoLab for Extremely Sensitive Electronic Measurements

The CryoLab of TU Delft's Faculty of EEMCS has been opened on Thursday 7 July by the dean Rob Fastenau. TU Delft scientists from the Tera-Hertz Sensing Group, Jochem Baselmans and Akira Endo, will be leading a team of young scientists and engineers working in the lab on astronomical instrumentation. The first instrument, DESHIMA (Delft SRON High-redshift Mapper), is being developed to be operated on the ASTE telescope in the Atacama Desert in Chile. The goal of the research is to create 3D charts of so-called submillimetre galaxies that, in contrast to 2D charts, also show distance and time.

The large number of superconducting detectors, and the advanced electronics developed at SRON, allows DESHIMA to map a very large volume of space at once. While Endo leads the development of DESHIMA, Baselmans will soon install the next cryostat for testing novel THz array antennas, that will enable his upcoming instrument MOSAIC to target multiple galaxies at once. In the future, the CryoLab is envisioned to also host new coolers from QuTech. Superconducting electronics used for astronomical instrumentation and quantum electronics have much in common, because they both push the limits of what can be observed.

Rob Remis elected best teacher at EWI

By student election (1700 votes), Rob Remis was elected as best teacher for Fac. EWI in 2016. A decade ago, Rob won already once the title 'Best teacher in EE'. This has now been extended to comprise the full faculty (EE, Mathematics, Computer Science). Later this year, Rob will compete for the title of 'Best teacher of TU Delft'.

The annual election is organised by the student associations of the Faculty (ETV, Christiaan Huygens), based on voting and written motivations.

New Book: Analog IC Design Techniques for Nanopower Biomedical Signal Processing


As the requirements for low power consumption and very small physical dimensions in portable, wearable and implantable medical devices are calling for integrated circuit design techniques using MOSFETs operating in the subthreshold regime, this book first revisits some well-known circuit techniques that use CMOS devices biased in subthreshold in order to establish nanopower integrated circuit designs. Based on the these findings, this book shows the development of a class-AB current-mode sample-and-hold circuit with an order of magnitude improvement in its figure of merit compared to other state-of-the-art designs. Also, the concepts and design procedures of 1) single-branch filters 2) follower-integrator-based lowpass filters and 3) modular transconductance reduction techniques for very low frequency filters are presented. Finally, to serve the requirement of a very large signal swing in an energy-based action potential detector, a nanopower class-AB current-mode analog multiplier is designed to handle input current amplitudes of more than 10 times the bias current of the multiplier circuit. The invented filter circuits have been fabricated in a standard 0.18 µ CMOS process in order to verify our circuit concepts and design procedures. Their experimental results are reported.



Analog integrated circuit, Biomedical electronics, Bionic ear, Bio-potential, CMOS, Current-mode, Cochlear implant, ECG, Filter, Gm-C, Multiplier, Neural recording, Sample-and-hold, Signal processing, Subthreshold, Switched-current, Transconductance reduction, Transconductor, Weak inversion

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FCA & CNHi Award for Alessandro Urso

Alessandro Urso, PhD student Bioelectronics, received an award from Fiat Chrysler Automobiles (FCA) and CNH Industrial for his MSc thesis that has been awarded Summa Cum Laude. The award ceremony was held on the 31st of May in the headquarters of Fiat inTurin, Italy.

Alessandro, formerly MSc student of the University of Ferrara, Italy, did his MSc thesis project on the design of world's most energy efficient multi-channel neurostimulator IC and was supervised by Gianluca Setti (U. Ferrara) and Wouter Serdijn (TU Delft).

Currently, Alessandro is working towards his PhD degree in the Bioelectronics Section of TU Delft.

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OCW Course Analog Integrated Circuit Design largest number of page views in 2015

Analog Integrated Circuit Design (ET4252) is an introductory course in analog circuit synthesis for microelectronic designers.

Topics include: Review of analog design basics; linear and non-linear analog building blocks: harmonic oscillators, (static and dynamic) translinear circuits, wideband amplifiers, filters; physical layout for robust analog circuits; design of voltage sources ranging from simple voltage dividers to high-performance bandgaps, and current source implementations from a single resistor to high-quality references based on negative-feedback structures.

The course coordinator and teacher of the course is Wouter A. Serdijn.

The course can also be downloaded from iTunes University via:

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New project "tASk-cognizant sParse sensing for InfeREnce" approved

STW project by Geert Leus

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Closing Math & Science Class

Students from year 5 of pre-university education have spent 22 weeks attending maths and science lectures on the TU Delft campus. The Math & Science Class 2015-2016 has reached a festive closing on Friday 20 May with a solar-powered boat race in the pool in front of the Faculty of Industrial Design Engineering. The 25 participating students, from 12 different secondary schools in the Netherlands, received their certificate from Anka Mulder.

The purpose of the Math & Science Class is to ease the transition from secondary school to university, to increase the participants' problem-solving abilities and to develop their independent research skills. It also introduces the students to the top-class research carried out at TU Delft, through lectures by leading professors such as Arno Smets, Lieven Vandersypen and Ulf Haneveld. During the last weeks of the programme the students have been working in groups to design and build a solar-powered boat.

How can you get a deaf person to hear and a blind person to see again?

Prof. Wouter Serdijn, head of the bioelectronics Department will give the lecture: 'Hoe kun je een dove weer laten horen en een blinde weer laten zien?' (How can you get a deaf person to hear and a blind person to see again?) for the Universiteit van Nederland. This lecture, lasting around 15 minutes, is part of a lecture series on the senses, in which a total of five leading scientists are taking part. The recordings will take place on Tuesday 31 May. Students and staff at TU Delft receive a 25% discount on the ticket price. The lectures will be in Dutch.

For information about tickets please visit the website from the Universiteit van Nederland

Vasso Giagka in Quadraad

This section features stories by two new members of EEMCS staff. This time they are Vasiliki Giagka and Johan Bosman.

Vasiliki GiagkaVasiliki Giagka
Is assistant professor in the Microelectronics department / Bioelectronics group.

Vasiliki Giagka (1984) was born in Athens. After studying Electronic and Computer Engineering at the Aristotle University of Thessaloniki, she completed her PhD at University College London in 2014. She has been living in Rotterdam since September. It will take her a while to get used to the Netherlands, far away from her friends in London. But she is happy with her bike, which gives her the freedom to go anywhere. Vasiliki Giagka joined the Microelectronics department in September 2015 as one of the three new tenure trackers. This quarter, she is teaching the courses Bioelectricity and Biomedical Engineering. Together with Prof Wouter Serdijn and Dr Reza Lotfi, she is developing a new course on Active Implantable Biomedical Microsystems.
Her research at TU Delft is still in its early stages. She is working on a European project proposal with a large number of partners. It’s an exciting process. In London, she was part of the European ?Neuwalk? project, aimed at repairing the body’s motor functions after serious cases of paraplegia from spinal cord injury. Giagka: ?As part of ?Neuwalk?, I focused on developing low-power flexible implants to repair the motor system.? In her free time, Giagka likes practising yoga and learning new languages. Giagka: ?Language learning expands the mind. Language also reveals a lot about a country’s culture. For example, in Greece, they do not have a good word for the term ?deadline?.? In addition to Greek and English, she has also studied some German, French, Spanish and, now Dutch. Giagka: ?I am currently midway through level A2.?

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Wouter Serdijn receives the 2016 IEEE Circuits and Systems Meritorious Service Award

IEEE CAS award for Wouter Serdijn

Wouter Serdijn (Section Bioelectronics) received from the IEEE Circuits and System Society (CAS) the Meritorious Service Award. This award honors the individual with exceptional long-term service and dedication to the interest of the CAS Society. Wouter Serdijn was awarded for his extraordinary leadership in improving technical quality and organization of IEEE CASS Flagship Conferences, such as the IEEE International Symposium on Circuits and Systems and the IEEE Biomedical Circuits and Systems Conference, and Transactions, in particular the IEEE Transactions on Circuits and Systems.

The award ceremony will be next week in Montreal during the annual ISCAS conference.

New book: Design of Efficient and Safe Neural Stimulators - A Multidisciplinary Approach

About this book:

This book discusses the design of neural stimulator systems which are used for the treatment of a wide variety of brain disorders such as Parkinson?s, depression and tinnitus. Whereas many existing books treating neural stimulation focus on one particular design aspect, such as the electrical design of the stimulator, this book uses a multidisciplinary approach: by combining the fields of neuroscience, electrophysiology and electrical engineering a thorough understanding of the complete neural stimulation chain is created (from the stimulation IC down to the neural cell). This multidisciplinary approach enables readers to gain new insights into stimulator design, while context is provided by presenting innovative design examples.

About the authors:

Marijn N. van Dongen was born in Pijnacker, The Netherlands, in 1984. He received the M.Sc. and Ph.D. degrees in electrical engineering from the Delft University of Technology, Delft, The Netherlands, in 2010 and 2015, respectively. His research interests include the design of neural stimulator output circuits as well as the modeling of the electrophysiological and electrochemical processes during electrical stimulation. Currently he is working for NXP Semiconductors, Nijmegen, The Netherlands. Dr. van Dongen served as the Financial Chair of the IEEE BioCAS2013 Conference.

Wouter A. Serdijn (M'98, SM'08, F'11) was born in Zoetermeer ('Sweet Lake City'), the Netherlands, in 1966. He received the M.Sc. (cum laude) and Ph.D. degrees from Delft University of Technology, Delft, The Netherlands, in 1989 and 1994, respectively. Currently, he is full professor of bioelectronics at Delft University of Technology, where he heads the Section Bioelectronics. His research interests include low-voltage, ultra-low-power and ultra wideband integrated circuits and systems for biosignal conditioning and detection, neuroprosthetics, transcutaneous wireless communication, power management and energy harvesting as applied in, e.g., hearing instruments, cardiac pacemakers, cochlear implants, neurostimulators, portable, wearable, implantable and injectable medical devices and electroceuticals.
He is co-editor and co-author of 9 books, 8 book chapters and more than 300 scientific publications and presentations. He teaches Circuit Theory, Analog Signal Processing, Micropower Analog IC Design and Bioelectronics. He received the Electrical Engineering Best Teacher Award in 2001, 2004 and 2015. Wouter A. Serdijn is an IEEE Fellow, an IEEE Distuingished Lecturer and a Mentor of the IEEE.

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New project "Earlier recognition of cardiovascular diseases" approved

Atrial fibrillation (AF) is a progressive disease and associated with severe complications such as stroke. Early treatment of AF is of paramount importance as it inhibits disease progression from the treatable (recurrent intermittent) to the untreatable (permanent) stage of AF. However, early treatment is seriously hampered by lack of accurate diagnostic instruments to recognize patients who will develop new onset AF or progress to a severer form of the disease.

The goal of this project is to develop age and gender based, bio-electrical diagnostic tests, the invasive and non-invasive AF Fingerprint, which consists of electrical atrial signal profiles and levels of atrial specific tissue/blood biomarkers. In daily clinical practice, this novel diagnostic instrument can be used for early recognition or progression of AF by determination of stage of the electropathology. As such, AF Fingerprinting enables optimal AF treatment, thereby improving patient?s outcome.

The project is a collaboration between Erasmus University (Dept. Cardiology), VU Medical Center (Dept. Physiology), and TU Delft (Sections CAS and Bioelectronics), and will fund 4 PhD students.

2016 IEEE Biomedical Circuits and Systems Conference (BioCAS 2016), Oct. 17-19 | Shanghai, China

IEEE BioCAS is a premier international forum for researchers and engineers to present their state-of-the-art multidisciplinary research and development activities at the frontiers of medicine, life sciences, and engineering. The conference will enable members of circuits and systems communities to broaden their knowledge in emerging areas of research at the interface of the life sciences and engineering.

BioCAS 2016 comprises invited talks on cutting-edge development, insightful tutorials in engineering and medicine, demonstrations, and technical sessions. The three-day program of BioCAS 2016 is multidisciplinary in topics including but not limited to:

  • Bio-inspired and Neuromorphic Circuits and Systems
  • Bio-medical Sensors and Interfacing Circuits
  • Biomedical Imaging Technologies & Image Processing
  • Electronics for Brain Science
  • Genomics and Systems Biology
  • Implantable and Wearable Devices and Systems
  • Internet of Things (IoT) for Healthcare
  • Innovative Circuits for Medical Applications
  • Lab-on-Chip/BioMEMS/Point-of care Devices
  • Medical Information Systems and Bioinformatics
  • Rehabilitation and Assistive Technologies
  • Signal Processing Systems for Bio-medical Applications
  • Therapeutic Devices and Closed-loop Systems
  • Wireless and Energy Harvesting/Scavenging Technology

Call for Papers

The complete 4-page paper (in standard IEEE double-column format), including the title, authors' names, aliations and e-mail addresses, as well as a short abstract and an optional demonstration video link (3 minutes max) are requested during submission. Papers must be submitted electronically in PDF format through

Important dates:

  • Special Session Proposal Due: June 5, 2016
  • Paper Submission Due: June 15, 2016
  • Demonstration Proposal Due: July 31, 2016
  • Author Notication Date: August 31, 2016
  • Author Registration Date: September 15, 2016
  • Conference Dates: October 17-19, 2016
  • Post Conference Workshop Dates: October 20-21, 2016


Selected BioCAS2016 papers will be published in the IEEE Transactions on Biomedical Circuits and Systems Special Issue.

BrainCAS, a 2-day post conference workshop, will be held in Hangzhou (a beautiful city near Shanghai) from Oct. 20-21, 2016. More details of BrainCAS will be available in BioCAS2016 website soon.

Else Kooi Award for PhD candidate Tera-Hertz Sensing Group

On March 23, 2016 the Else Kooi Award has been awarded to dr. Waqas Syed. The Award Ceremony took place on the yearly congress in Amersfoort (The Netherlands). During the ceremony Syed held a presentation "On the Control of Surface Waves in Integrated Antennas". The chair of the Else Kooi Award foundation professor dr. ing. B. Nauta presented the Award to Syed.

Dr Waqas Syed has been granted the Award for his scientific research on the analysis and design of artificial dielectric layers, and their application to advanced antenna and antenna array structures. Waqas Syed obtained his PhD in June 2015 at the Tera Hertz Sensing Group of the EEMCS Faculty, Delft University of Technology.

The Else Kooi Award is an annual award for young researchers in the field of applied semiconductor research conducted in the Netherlands. The award comes with a prize of 5,000 euros.

The judging-committee was very impressed of Syed's publication track record. They said: "The research by Dr Syed is characterized by an excellent analytical insight in the properties of electromagnetically engineered materials. These novel materials are easy to realize and they will enable the design of cost-effective planar antennas/antenna arrays for the automotive radar industry, satellite communications and high speed Terabit Communication".

Contact For more information please contact Prof. Edoardo Charbon from the Else Kooi Award foundation: phone +31 (0)15 278 36 67, email:

Cum Laude for MS3 masterstudent Joris Derksen

A short description of his topic Radars are vital systems for the navy as they are the primary systems for the detection, tracking and sometimes classification of friendly and hostile targets. It is therefore important that navies can assess the radar?s performance under the prevailing conditions. The atmosphere can significantly alter the radar?s performance from standard. Nowadays computer models can fairly accurately predict radar performance if sufficient atmospheric input data is available. While many studies are dedicated to accurately model radar performance, little has yet been done to define how accurate and how high in resolution atmospheric data must be to suffice as input for accurate radar performance prediction. My study takes preliminary steps into finding horizontal and temporal resolution requirements for different weather conditions. The study I will present will be particular of interest to the Royal Netherlands Navy as they currently predict radar performance with a single vertical profile and thereby assume that the atmosphere is horizontally homogenous. My thesis clearly shows that using a single profile can result in erroneous radar performance predictions. In these cases 3D dimensional data is required, which, for example, numerical weather prediction models can obtain.

Prof. Sarro appointed Knight of the Order of the Star of Italy (OSI) by the President of the Italian Republic, Sergio Mattarella

On March 14, the Italian ambassador, Francesco Azzarello, presented the award to Prof. Sarro at the Italian embassy in The Hague, in the presence of the Rector, Prof Karel Luyben, and the Dean of the EEMCS faculty, Prof Rob Fastenau.

�the Order of the Italian Star rewards Italian people who distinguish themselves abroad and deepen relations between Italy and other countries. Prof Sarro was elevated in recognition of her academic merits and prestigious achievements�

New book by Amir Zjajo: Brain-Machine Interface

low-power analog front-end circuits for brain signal conditioning and quantization and digital back-end circuits for signal detection

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Michel Antolovic granted PicoQuant Young Investor Award

On February 14, 2016, Michel Antolovic was granted the prestigious PicoQuant Young Investigator Award at Photonics West in San Francisco for his paper titled 'Analyzing blinking effects in super resolution localization microscopy with single-photon SPAD imagers�. The paper shows the first localization super resolution images obtained with a SPAD camera. The analysis includes specific timing properties of fluorescing molecules in vitro with unprecedented accuracy thanks to one of the world�s single-photon fastest cameras that was created in the AQUA laboratory. The timing properties are aimed to be used for optimizing fluorophore blinking or separation of fluorophores, enabling multichannel super resolved imaging.

Happy 2016!

Here are some pictures of the New Year Reception of the Microelectronics department

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Research into the Universe

'We could discover something that could change our whole view of the Universe'

Astronomer Dr Akira Endo is working on a brand-new measuring instrument that should lead to great improvements in how astronomers study the most active galaxies. This new spectrometer, named DESHIMA, could give us insights into the origins of stars and galaxies. We talked to this ambitious Japanese scientist from the Tera Hertz Sensing Research group at the faculty of EEMCS about key moments in his scientific career.

Read the whole interview with Akira Endo in the Staff Magazine 'Quadraad'of the faculty of EEMCS in December 2015.

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Waqas H. Syed wins 2016 Else Kooi Award

The 2016 Else Kooi Award has been granted to Dr W.H. Syed for his scientific research on the analysis and design of artificial dielectric layers, and their application to advanced antenna and antenna array structures. The Else Kooi Award is an annual award for young researchers in the field of applied semiconductor research conducted in the Netherlands. The award comes with a prize of 5,000 euros.

Waqas Syed obtained his PhD in June 2015 at the Delft University of Technology at the faculty of Electrical Engineering Mathematics and Computer Science. Being part of the Tera Hertz Sensing Group, his promotor was Professor A. Neto and his supervisor Dr D. Cavallo.

The research by Dr Syed is characterized by an excellent mix of analytical insight in the properties of artificial dielectric layers (ADL), synthesis of innovative antenna concepts which exploit ADLs, development of the technology needed to process these structures and accurate experimental characterization. The practical relevance of the strong suppression of surface-wave effects enabled by the use of ADLs is high, both in the field of communication and in the applications of THz radiation. His publication track record is outstanding.

Syed will receive the award during a special ceremony on Wednesday 23 March at the ICT.OPEN symposium. The exact time of the award ceremony and presentation of Waqas Syed is 11.30 � 12.30 in the SAFE and ProRISC track. For more information please contact Prof. Edoardo Charbon from the Else Kooi Award foundation: Phone +31 (0)15 278 36 67, email:

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BE/ELCA Christmas Lunch

17 Dec 2015 The annual Christmas lunch with international dishes prepared by MSc and PhD students

Paddy French, named 2016 IEEE Fellow

Piscataway, New Jersey, USA, January 2016: Paddy French, Prof, dr. from Delft, The Netherlands has been named an IEEE Fellow. He is being recognized: for contributions to micro-electromechanical devices and systems. The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. He has been working in the field of sensors since 1982 and has had more than 500 publications in international journals and conferences. He has been active in many journals and conferences over the years. He has been a supporter of IEEE conferences as co-chair of IEEE MEMS and three times programme chair of IEEE Sensors.

Piscataway, New Jersey, USA, January 2016: Paddy French, Prof, dr. from Delft, The Netherlands has been named an IEEE Fellow. He is being recognized: for contributions to micro-electromechanical devices and systems. The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.

He has been working in the field of sensors since 1982 and has had more than 500 publications in international journals and conferences. He has been active in many journals and conferences over the years. He has been a supporter of IEEE conferences as co-chair of IEEE MEMS and three times programme chair of IEEE Sensors.

How do you become Best Lecturer of TU Delft?

On 26th November, the Best Lecturer of the year 2015 was chosen. 8 nominees, one from each faculty, competed for the prize. But how do you ?become? lecturer of the year of lecturer or your faculty? How does the lecturer of the year differentiates him or herself from the other lecturers? Is the interaction with the students different and what is the ?Golden tip??

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Andrea Neto, named 2016 IEEE Fellow

Piscataway, New Jersey, USA, December 2016: Andrea Neto, Professor, from Delft, The Netherlands has been named an IEEE Fellow. He is being recognized for contributions to dielectric lens antennas and wideband arrays.

The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.

He performed revolutionary research in the analysis and design of antennas, with emphasis on arrays, and dielectric lens antennas, largely in the field of THz front ends. Andrea Neto (M�00�SM�10) received the Laurea degree in Electronic Engineering from the University of Florence, Italy, in 1994, and the Ph.D. degree in electromagnetics from the University of Siena, Italy, in 2000.

He has served as associate editor of IEEE Transactions on Antennas and Propagation and IEEE Antennas and Wireless Propagation Letters. He is member of the Technical Board of the European School of Antennas. In 2011 he was awarded the European Research Council (ERC) Starting Grant to perform research on Advanced Antenna Architectures for THz Sensing Systems. In February 2010 he has been appointed Full Professor of Applied Electromagnetism at the Technical University of Delft, the Netherlands. He is now part of the Microelectronics Department. He formed, and now leads the THz Sensing Group.

The IEEE is the world�s leading professional association for advancing technology for humanity. Through its 400,000 members in 160 countries, the IEEE is a leading authority on a wide variety of areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics.

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Nikolas Gaio has won Best Student Paper Award

Nikolas Gaio, PhD of the Electronics Components, Technology Materials Group has won the Best Student Paper Award on the IEEE Sensor 2015 Conference in Busan (South Korea)1-4 November 2015

The title of his paper is: Upside-down Carbon Nanotube (CNT) Micro-electrode Array (MEA), other authors are: B. van Meer, C. Silvestri, S. Pakazad, S. Vollebregt, C.L. Mummery, R. Dekker.

PhD thesis Organic Materials Degradation in Solid State Lightning Applications

Congratulations to Maryam Yazdan Mehr for her PhD thesis defense on November 23, 2015

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TU Delft Female Fellowship Tenure Track Openings

Academic openings at all professor levels

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The direct growth of carbon nanotubes as vertical interconnects in 3D integrated circuits

An article of Ryoichi Ishihara and Sten Vollebregt from the ECTM group of the Microelectronics Department has been published in the magazine Carbon on September 30 2015. Ishihara and Vollebregt managed to integrate for the first time carbon nanotubes with transistors. They demonstrated that these processes are compatible with each other.

Project information

Read the article

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QuTech enters in collaboration with Intel

Intel and QuTech, the quantum institute of TU Delft and TNO, have finalised plans for a ten-year intensive collaboration, along with financial support for QuTech totalling approximately $50 million.

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ISCAS 2015 Keynote Presentation Ronald Dekker online

Ronald Dekker's Keynote: ?From Chips for the Living to Living Chips?

Micro-fabricated devices are finding their way to the frontend of medical equipment, where they are the interface between body, or in general living tissue, and machine. They enable better and cheaper diagnostic equipment, they add ?eyes and ears? to minimally invasive instruments such as laparoscopic instruments and catheters, they allow for un-obtrusive monitoring of body functions, they add functionality to implants, and they enable the development of better and personalized medicines. Despite their great promise it has been proven difficult to bring these devices out of the laboratory phase into production. One of the reasons is the lack of a suitable fabrication infrastructure. Much more than standard CMOS or MEMS devices, these medical devices rely on the processing of novel materials, especially polymers, in combination with advanced molding, micro-fluidics, and assembly technologies. At the same time these devices have to be fabricated under strict quality control conditions in a certified production environment.

In the recently granted ECSEL project ?InForMed? a supply chain for the pilot fabrication of these medical devices is organized, which brings together key European technology partners in an integrated infrastructure linking research to pilot and high volume production. The pilot line is hosted by Philips Innovation Services, and open to third party users.

Speaker Biography:

Ronald Dekker received his MSc in Electrical Engineering from the Technical University of Eindhoven and his PhD from the Technical University of Delft. He joined Philips Research in 1988 where he worked on the development of RF technologies for mobile communication. Since 2000 his focus shifted to the integration of complex electronic sensor functionality on the tip of the smallest minimal invasive instruments such as catheters and guide-wires. In 2007 he was appointed part time professor at the Technical University of Delft with a focus on Organ-on-Chip devices. He published in leading Journals and conferences and holds in excess of 50 patents.

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New STW project: "Good vibrations"

Today STW announced that Rob's proposal "Good Vibrations" in the Open Technology Program will receive funding. The project will utilize the power of so-called Krylov subspace reduction techniques and develop solution methodologies for wave field problems in complex media.

The project will fund 1 PhD student: Jorn Zimmerling.

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Wouter Serdijn on BNR Eye Openers

Listen here for the recording.

The broadcast has been repeated on: Friday, July 10, at 19:30 hrs, Saturday, July 11 at 9:00 and 15:30 hrs and Sunday, July 12, at 9:00 and 18:30 hrs; also via the App.

Host of Eyeopeners is Marijke Roskam.

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PhD thesis Stretchable Micro-Electrode Arrays for Electrophysiology

Congratulations to Saeed Khoshfetrat Pakazad for his PhD thesis defense on June 15, 2015

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Wouter Serdijn Teacher of the Year 2014-2015

Rationale behind his award is that Wouter Serdijn is "a good lecturer, is involved with his students and conducts important research himself".

This is actually not the first time that Wouter got elected Teacher of the Year. In 2001 and 2004 he already won the cup. This, however, is the first time that he also has been elected Teacher of the Year for the whole faculty, a new distinction that was established in 2012.

Wouter Serdijn is professor in Biomedical Circuits and Systems and heads the Bioelectronics Section at EEMCS.

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ISCAS 2015 in Lisbon a big success

Franco Maloberti, President Elect of the IEEE Circuits and Systems Society mentioned as highlights of the conference:

- The excellent location and organization: "Let me congratulate the General Chairs, Technical Program Chairs and organizing staff with the perfect flow of things and outstanding service to our community";

- Good participation to sessions and good quality of papers;

- Beneficial socialization during coffee breaks and social events; and

- Very successful side events (Special events, John Choma Commemoration, PhD Gold Young Professional, Women in CAS, Conference Leadership).

Wouter Serdijn No. 12 in Vrij Nederland's Nerd 101

Wouter Serdijn (head of the Bioelectronics Section at Delft University of Technology) ended up No. 2 in the category "wearables". To him, wearables are just an intermediate station in the journey into implantables. A special kind of implantables, called "electroceuticals" will complement traditional pharmaceuticals and will help treating patients that suffer from neurological disorders better. On June 10, an item about him and his work appeared in Vrij Nederland. Together with 10 other nerds he ended no. 12 in VN's Nerd 101, the shortlist of the 101 most interesting technologists, inventors and botchers of the Netherlands.

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Leo de Vreede most entrepreneurial TU Delft scientist

During the annual YES!Delft Network Event on 18 May, the Delft Entrepreneurial Scientist Awards (DESA) were presented for researchers who encourage entrepreneurship. Dr Leo de Vreede of the Department of Microelectronics (EEMCS) was named the most entrepreneurial scientist at TU Delft.

Leo de Vreede is an associate professor at the Electronics Research Laboratory. In 2010, he founded the company Anteverta-mw. Building on the knowledge from his PhD research, the company developed a device that drastically accelerates and improves continuity testing of base stations for mobile telephony. As a result, data transfer is improved and energy consumption reduced. The TU Delft spin-off was taken over earlier this year by the American company Maury Microwave Corporation.

Jury chairman and President of the Executive Board Dirk Jan van den Berg praised De Vreede for his involvement with many spin-off companies and patent requests. The scientists received �valorisation bonuses� of �15,000 and �5,000 respectively.

Delftse promovendus ontwikkelt volgende generatie neurostimulator

Marijn van Dongen is vandaag aan de TU Delft gepromoveerd op het chipontwerp voor een neurostimulator die klein genoeg is om in de schedel aan te brengen, dicht bij de plek waar gestimuleerd moet worden. Normaal gesproken worden neurostimulatoren uitgevoerd in de vormfactor van een pacemaker; vanwege hun afmetingen worden ze in de borst ge?mplanteerd en via onderhuidse draden verbonden met de elektroden in het hersenweefsel. Deze leads zijn echter gevoelig voor slijtage.

De batterij is echter een beperkende factor bij het miniaturiseren van deze apparaten. Daarom zocht de promovendus naar alternatieve stimulatiescenario?s die minder energie gebruiken. Uit simulaties en in vitro-proeven bleek het gebruik van hoogfrequente series stroompulsjes een veelbelovende aanpak. Dit soort pulsjes kunnen op een energie-effici?nte manier worden opgewekt dankzij het principe van een geschakelde voeding; een prototype van de neurostimulator was een factor drie zuiniger dan de huidige stimulatoren. Bovendien kan de pulsgebaseerde aanpak verschillende doelen tegelijkertijd activeren en daarmee de doelmatigheid van de behandeling verhogen.

De onderzoekers denken dat kleinere stimulatoren uiteindelijk breder ingezet kunnen worden. Op het moment wordt neurostimulatie vaak nog gezien als laatste redmiddel bij chronische aandoeningen als Parkinson, depressie, pijn en tinnitus. Er is echter nog een scala aan andere mogelijke toepassingen, zoals zoals epilepsie, verslavingen, migraine en dementie.

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Congratulations to Prof. dr. Sarro with her royal honour

Professor Lina Sarro, professor of micro-electronics at the Faculty of Electrical Engineering, Mathematics and Computer Science, has been made a Knight in the Order of the Netherlands Lion, in The Hague.

She received the award because of her original research that resulted in a large scientific body of work and because of her in-depth involvement with her many students. Her pioneering work in the 1980s in the field of infrared sensors led to international acclaim. Since 1987, she has been in charge of research into micro and nanosystems (MEMS and NEMS) at the Else Kooi Lab, which was known previously as the Dimes Institute for Microsystems and Nanoelectronics.

Professor Sarro has published more than 200 articles in scientific journals and has received awards for her work on several occasions. In 2004, she received the Eurosensors Fellow Award, in 2007 the AISEM Career Award, and in 2012 the IEEE Sensors Council Meritorious Award. She is also a member of the Royal Netherlands Academy of Arts and Sciences (KNAW) and a fellow of the Institute of Electrical and Electronics Engineers. She has been praised on account of both her scientific work and her unfailing commitment to providing teaching of a high standard.

To her students, from both inside and outside the Netherlands, she is a figurehead. This applies perhaps in particular to female students and academics. In 2005, Professor Sarro became the first female to join the TU Delft Council of Professors. She is dedicated to emphasising the role of female scientists, in the conviction that it is a waste to use only half of our scientific assets. Her outstanding scientific reputation ensures that her voice is heard in this, and in other issues.

Sundeep Chepuri wins ICASSP Best Student Paper Award

The ICASSP paper "SPARSE SENSING FOR DISTRIBUTED GAUSSIAN DETECTION" by Sundeep Chepuri and Geert Leus won the best student paper award. This is quite a prestegious achievement. Congratulations!

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PhD Student Huizhen Qian wins Best Paper Award

Miss. Huizhen Qian won the Best Paper Award (1st Place) from her paper entitled as "A 3.5-9.5 GHz Compact Digital Power Amplifier with 39.3% Peak PAE in 40nm CMOS Technology" at the International Wireless Symposium (IWS) 2015, IEEE Microwave Theory and Techniques Society (MTT-s).

The Award was presented to Huizhen and Dr. Xun Luo by IWS General-Chair Prof. Patrick Yue, Associate Provost for Knowledge Transfer, The Hong Kong University of Science and Technology (HKUST) and IWS TPC-Chair Dr. Morgan Chen from Nokia Technologies.


Else Kooi Award ceremony at ICT Open

Professor Charbon, dr Daniele Raiteri and professor Nauta

The 2015 Else Kooi Award has been granted to Dr Daniele Raiteri for his scientific research on Technology-Aware Circuit Design for Smart Sensors on Plastic Foils. The Else Kooi Award is an annual award for young researchers in the field of applied semiconductor research conducted in the Netherlands. The award comes with a prize of 5,000 euros.

Raiteri has received the award during a special ceremony at the ICT.OPEN symposium on March 25th. The award was presented by the board of the Else Kooi Award foundation professor Nauta, chair of the foundation (TU Twente) and professor Edoardo Charbon. Edoardo Charbon from the microelectronics department of the EEMCS faculty holds the position of secretary of the Else Kooi Award Foundation.

Dr Raiteri?s research is focused on organic semiconductors. This emerging technology has specific features which severely complicate the design of circuits and systems, such as low transconductance, gain and speed, as well as high component variability. Dr Raiteri has devised several new solutions that have shown to be extremely robust to variability, achieving significantly better gain-bandwidth products in amplifiers and exceptional signal-to-noise ratios in voltage-controlled oscillators.

Photos by: Thijs ter Hart

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Article in Defensie magazine Materieelgezien

An article about the annual meeting of the Platform Nederland Radarland (NLRL), which was attended by the MS3 group, published in the Materieelgezien a magazine of the Dutch Ministry of Defence.

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Nuria Llombart awarded by ERC grant

The European Research Council has awarded associate professor Nuria Llombart Juan of the Tera Hertz Sensing group a prestigious starting grant (1.5 million euros) for her research proposal �Lens antenna arrays for THz coherent cameras�.

The THz region was, traditionally, limited to applications in radio astronomy and space science. In recent years, THz systems have expanded into many more areas of science, defense, security, and non-destructive industrial applications. Microwave based THz cameras have demonstrated the highest sensitivity at large distances. However, their current state of the art is comparable to the first analog photographic cameras characterized by long exposition times. Two fundamental problems have to be addressed to change this situation: technologically, there is the lack of integrated coherent arrays with high power and sensitivity; and theoretically, a field representation to characterize analytically these systems is missing.

�I propose to tackle the technological problem by exploiting the coherency between small antenna arrays coupled to actuated lenses to overcome the sensitivity problem and achieve instantaneous refocusing (i.e. zooming). The proposed antenna technology is based on a recent breakthrough that I pioneered: micro-lenses excited by leaky waves with seamless integration in silicon technology. This antenna enables the fabrication of large fly�s eye cameras in just two wafers, and promises one order of magnitude better scanning performances than previous solutions. An analytical model to investigate the electromagnetic response of coherent THz arrays is the enabling tool for optimizing the camera performances. I will develop this tool by combining advance spectral antenna techniques with coherent Fourier Optics. This model will not only be used in new beamforming techniques, but also for the characterization of future THz telecommunication links.�

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New STW project: "SuperGPS"

Gerard Janssen acquired, with his colleagues Jeroen Koelemeij (VU Amsterdam, PI) and Christian Tiberius (CiTG), a new STW project called SuperGPS.

The project addresses the problem that currently, GPS is not sufficiently accurate and reliable to enable autonomous driving. The central question is: "?How do we realize highly accurate and reliable positioning using extremely accurate time-frequency reference signals, distributed through hybrid optical-wireless networks??.

The project aims at a hybrid optical-wireless system for accurate positioning, navigation, and network synchronization, to complement or even replace satellite navigation technology. This system is accomplished through a terrestrial grid of radio antenna ?pseudolites?, synchronized with extreme accuracy through the fiber-optic telecommunications network. The key deliverable of the project is a pilot demonstration of SuperGPS technology under real-life circumstances.

The technology will be developed with support and feedback from potential users in telecommunications (Royal KPN N.V.), mobility (TNO and Volvo), and Dutch high-tech manufacturers, as well as stakeholders from the scientific and R&D community, including the Dutch metrology institute VSL, the Dutch ?keepers of atomic time? UTC, and physicists and astronomers in need of better time and frequency signals.

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Best paper award for Amir, Carlo and Rene

Amir Zjajo, Carlo Galuzzi and Rene van Leuken won the Best Paper Award for the paper "Noise Analysis of Programmable Gain Analog to Digital Converter for Integrated Neural Implant Front End" at the International Conference on Biomedical Electronics and Devices (Biodevices 2015; Rome, Italy).

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Jochem Baselmans awarded by ERC grant

The European Research Council has awarded SRON researchers Jochem Baselmans, visiting professor of the Tera Hertz Sensing group (2.4 million euros) and Peter Jonker (2 million euros) prestigious research grants for independent groundbreaking research. Jonker will chase intermediate-mass black holes to find out if they really exist. Baselmans will develop a revolutionary instrument to measure the redshift of submillimeter galaxies, distant galaxies that are responsible for the cosmic infrared background radiation.

Baselmans and Jonker have both been awarded an ERC Consolidator Grant that enables top researchers to consolidate their independent research program and/or research group. With this funding instrument the ERC wants to strengthen new excellent research. Baselmans and Jonker can use this European grant to appoint new and highly promising researchers over the next five years.

Source and more information:
Sron Netherlands Institute for Space Research

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PhD thesis Liquid-Si Technology for High-Speed Circuits on Flexible Substrates

Congratulations to Jin Zhang for her PhD thesis defense on January 26, 2015

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L3SPAD honored

The STW HTSM "L3SPAD: A Single-Photon, Time-Resolved Image Sensor for Low-Light-Level Vision" program has received funding. The program is led by Edoardo Charbon.


Low-light-level (LLL) image sensors have been receiving great attention because they have various applications ranging from fluorescence microscopy to automotive sensing, from safety monitoring to 3D vision for robots. Traditionally, however, LLL image sensors have been used for military purposes because of their prohibitive costs. The appearance of monolithic solid-state complementary metal-oxide-semiconductor (CMOS) processes for the design and fabrication of photon counting image sensors has paved the way to enable low-cost and high-performance LLL image sensors. In this project, we will realize a gated 1.3Mpixel photon-counting image sensor in a standard CMOS process. The target sensor, with high timing resolution, low noise, and high photon detection efficiency, is the perfect candidate to meet all these technical and cost specifications.?

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10 years of BioCAS, the Biomedical Circuits and Systems Symposium

Alexander Yarovoy, Named 2015 IEEE Fellow

Prof. Alexander Yarovoy, DSc., from Delft University of Technology has been named an IEEE Fellow. He is being recognized for his work on ultra-wideband imaging for ground penetrating radar and microwave scanners.

The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.

Best MSc student of TU Delft

This afternoon, Jorn Zimmerling won the competition for best MSc student of TU Delft of this year. Jorn was an MSc student of Rob Remis and Paul Urbach, and is now a PhD student with Rob at CAS.

TU Delft news article (in dutch)

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Taco Kindt, Cees-Jeroen Bes and Hossein Tajeddin win 2nd prize in Proof-It Award contest

During the Proof-It Awards session of Medical Delta at the Border Sessions, Nov. 12 in The Hague, The Netherlands, the team of FetalStar (Taco Kindt, Cees Jeroen Bes (Section Bioelectronics) and Hossein Tajeddin (HealtTech)) won the 2nd prize. Congratulations! The 2nd prize will allow them to continue working on their revolutionary fetal ECG monitoring concept and bring it closer to a prototype.

Farewell symposium Prof. dr. Kees Beenakker

On the 11th November the 'Prof. Beenakker Symposium' was held to say farewell to Kees Beenakker, which became emeritus. The speakers of the symposium consisted of guests from industry and academia: NWO, Tsinghua University, Philips Lightning, Boschman BV and TU Delft, and was attended by many guests and students.

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QuTech appointed as 'national icon'

The Ministery of Economic Affairs has named 4 innovations as 'national icon'; QuTech is one of them. "National icons are innovations which generate future welfare and help to solve mondial problems." The icons will receive a national support podium, including a minister or secretary of state as ambassador.

In the Department of Microelectronics, prof. Edoardo Charbon and dr. Ryochi Isihara are 2 of the 5 EWI faculty members directly involved in QuTech.

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MP Jan Vos visits PARSAX

On Friday 7 November, Jan Vos, MP for the PvdA, visited the TU Delft Climate Institute. The theme of the visit was climate change, TU Delft's research and the usefulness of and need for climate monitoring. The programme included a demonstration of cloud simulations in the Virtual Lab and a visit to the PARSAX radar. Thanks to the rain, it was possible to obtain good live measurements.

IEEE Sensors 2014 best paper awards

Congratulations to Cinzia and Ronald for getting the IEEE Sensors best paper awards in topic 1 and 8!

Albert Theuwissen honored with European SEMI Award 2014

Albert Theuwissen, CEO of Harvest Imaging and professor at Delft University of Technology, is the recipient of the European SEMI Award 2014. The Award, which recognizes Theuwissen�s outstanding contribution to the continuing education of engineers, was presented during the SEMICON Europa Executive Summit in Grenoble today.

Albert Theuwissen is professor at the Electronics Instrumentation Laboratory of Delft University of Technology. He is a highly regarded specialist in solid-state image sensors and digital imaging. He worked for nearly 20 years at Philips Research and then at DALSA in lead engineering and management roles. In 2001, Theuwissen became a part-time professor at Delft University of Technology. In 1995, he wrote the textbook �Solid-State Imaging with Charge-Coupled Devices� which is now a standard reference work in the field of solid-state imaging.

After �retiring� in 2007, Theuwissen founded Harvest Imaging and has played a major role in the continuing education of engineers in the field of solid-state imaging and digital cameras. He has taught and trained over 3,000 engineers at image sensor companies (such as Kodak, Sony, Samsung, Aptina, ST Microelectronics, Micron, Intel, Philips, Canon, DALSA, and Panasonic) and consumer product companies (such as Nokia, Sony-Ericsson, Motorola, Siemens, Research InMotion, Thomson, and many others). In addition, he has conducted short courses at IEEE�s IEDM, ISSCC, ICIP and SPIE�s Electronic Imaging Conference.

Solid-state image sensors such as the Charge-Coupled Device (CCD) and CMOS Image Sensor (CIS) are complex electron devices. About one billion image sensor chips are fabricated and sold each year and represent a multi-billion dollar per year IC business segment. Understanding the fabrication and device physics operation of these devices is difficult and is rarely taught in universities at either the undergraduate or graduate level.

Solid-state image sensors such as the Charge-Coupled Device (CCD) and CMOS Image Sensor (CIS) are complex electron devices. About one billion image sensor chips are fabricated and sold each year and represent a multi-billion dollar per year IC business segment. Understanding the fabrication and device physics operation of these devices is difficult and is rarely taught in universities at either the undergraduate or graduate level.

�Albert recognized the need for technical education and created a successful continuing education offering that navigates and conforms to the competitive and proprietary IP environment, benefitting thousands of electron-device engineers and also the industry,� said Heinz Kundert, president of SEMI Europe. �It is an honor to recognize Albert for his outstanding contributions to the European semiconductor and microsystems industry.�

The European SEMI Award was established more than two decades ago to recognize individuals and teams who made a significant contribution to the European semiconductor and related industries. Prior award recipients hailed from these companies: Infineon, Semilab, Deutsche Solar, STMicroelectronics, IMEC, Fraunhofer Institute, and more.

Wouter Serdijn at the Border Sessions 2014; the international technology festival

As part of the Crossing Borders Festival in The Hague, Wouter Serdijn will give a talk on the Future of Implantable Technology at the Border Sessions, Nov. 12, 13:00 hrs.

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Xun Luo's paper top downloaded in IEEE Tr. MTT

Xun Luo's paper co-authored with Dr. Sheng Sun is ranked as the no.1 most downloaded paper of IEEE Transactions on Microwave Theory and Techniques, according to the most recent monthly usage statistics.

"Tunable Bandpass Filter With Two Adjustable Transmission Poles and Compensable Coupling", Xun Luo, Sheng Sun, Bogdan Staszewski, Sept. 2014

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Vacancy: assistant professor in bioelectronics

In the Section Bioelectronics of Delft University of Technology, there is an opening for a tenure track position in bioelectronics.

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Fast and inexpensive roll-to-roll manufacturing of silicon transistors on plastic films

The research of Dr. Ishihara on the low temperature fabrication of flexible electronics on plastics is featured in this quarter's edition of the Delft Outlook.

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Cees-Jeroen Bes and Wouter Serdijn on Dutch TV station RTL4

On Sept. 25, the RTL4 TV program "Editie NL" made a news item on chipping humans. Cees-Jeroen Bes and Wouter Serdijn offered a glimpse into the future.

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PhD thesis A Systematic Approach to Address the Reliability of Solid State Lighting Drivers

Congratulations to Sima Tarashioon for her PhD thesis defense on September 18, 2014

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PhD thesis Thermal Management of Solid State Lighting Module

Congratulations to Huaiyu Ye for his PhD thesis defense on September 10, 2014

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PhD thesis SiGe heterojunction bipolar transistors with Schottky collector contacts

Congratulations to Gianpaolo Lorito for his PhD thesis defense on September 9, 2014

Board of Directors of EURASIP

On Sep 1, Alle-Jan was elected as incoming member of the Board of Directors of EURASIP, with a 4-year term starting 1 January 2015. EURASIP is the European Signal Processing association.

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An electronic eye on the children

Article in Vrij Nederland (in Dutch), d. Aug. 2, by Marjolein van Trigt about Child Tracking. In there, Wouter Serdijn explains the possibilities, impossibilities and implications of an implantable RFID child tracker. Lees meer op:

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Micromachined nanoreactors fabricated in DIMES enable the study of catalyst dynamics under industrial operating conditions

A unique collaboration between microsystems technology specialists of the ETCM group of the Microelectronics Department of TU Delft and catalyst researchers from industry (Haldor Topsoe, Albemarle Corporation) and universities (TU Delft, Leiden) has led to an innovative method to study catalyst dynamics under industrial operating conditions.

The process uses a technique called high-resolution electron microscopy to monitor atomic changes in the catalyst structure during the catalytic process. Unlike conventional electron microscopy, which has considerable pressure and temperature limitations, this new technique allows scientists to view these reactions under real-life (in-situ) conditions.

The key to the success of this new technique is the surface micromachined nanoreactor. This revolutionary device has been designed by members of the ECTM group and fabricated in DIMES. The device is a miniaturize gas reaction chamber consisting of a surface micromachined channel interfaced by gas inlets/outlets. It integrates a microheater to locally provide high temperatures, and electron transparent windows to observe the in-situ reactions between gases and catalyst nanoparticles.

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Nature material publication: Visualization of oscillatory behaviour of ​Pt nanoparticles catalysing ​CO oxidation

Information about the design

Stefan Wijnholds finalist for Christiaan Huygensprijs 2014

Yesterday, 25 June 2014, Stefan Wijnholds received an "honorable mention" as finalist for the Christiaan Huygensprijs 2014, rewarding the best PhD thesis work in ICT over the past 4 years. The awards were handed by the Minister of Education (dr. Jet Bussemaker).

After a tough preselection by each university, a list of 32 candidates at a national level were judged by the jury. Out of these, 4 finalists were nominated who received a certificate in a ceremony in Voorburg.

Stefan received the honor for his PhD thesis on calibration and imaging for the LOFAR radio telescope. He was a PhD student with Alle-Jan van der Veen in 2006-2010, while being employed by ASTRON in Dwingeloo.

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Wouter Serdijn representing IEEE in Brussels as a member of the IEEE ICT Working Group

Wouter Serdijn (Section Bioelectronics) has been elected and appointed by the IEEE Board of Directors to serve on the IEEE Working Group on ICT. Main objective of this working group is to increase IEEE?s presence and visibility on EU issues relating to ICT and provide the technical know-how to be integrated into EU policy. ?As IEEE is the world's largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity, operates transnationally and in a neutral fashion and has the technical competence in this domain, it is only natural that IEEE gives advice on ICT technological matters and acts as a sounding board?, Wouter says. In the IEEE Working Group on ICT, 14 members from various EU member states are active.

First prize STARS Plenary Session

Yesterday Teun de Groot, the PhD student at Microwave Sensing, Signals and Systems section, won the 1st prize for his? poster and presentation at the STARS Project's Plenary session 2014 in Enschede!

The title of his presentation was ? Mission-driven Resource Management for Reconfigurable Sensing Systems?.

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ISCAS 2014 a big success!

Wouter Serdijn (Section Bioelectronics) served as Technical Program Chair for this year's edition of ISCAS. Next year's edition will be held in Lisbon, Portugal. For this edition Wouter Serdijn will change hats and be General Chair.

New STW project for Rob Remis

Rob Remis was granted an STW project "Dielectric enhanced MRI". The main applicant of this project is Andrew Webb (Leiden Univ.), coapplicants are Rob Remis (CAS) and Bert-Jan Kooij (MS3). This will fund 2 PhD students in Delft.

The project aims to improve MRI imaging by inserting "bags" with dielectric materials between the magnets and the body. This should provide better illumination, in particular when using high-tesla fields. This has already been applied in practice but the effect is theoretically poorly understood. The project should provide the EM theory related to this case.

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Analog Integrated Circuit Design more than 10,000 page views in 2013

Open CourseWare course Analog Integrated Circuit Design (ET4252) received more than 10,000 page views in 2013 and is the No. 2 OCW course in Microelectronics

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New project: DRIFT

The future SKA radio telescope will produce large amounts of correlation data that cannot be stored and needs to be processed quasi real-time. Image formation is the main bottleneck and requires order 350 peta-flops using current algorithms. Another bottleneck is the transportation of station data (samples) to the central location where they are correlated.

The project aims to reduce the transportation bottleneck by time-domain compressive sampling techniques, allowing the recovery of full correlation data from significantly subsampled antenna signals, and to introduce advanced algebraic techniques to speed up the image formation. Ideally, we would even skip the intermediate covariance reconstruction.

The project is funded by NWO in the "Big Bang, Big Data" program and is carried out in context of the ASTRON-IBM DOME project.

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Prof. Bastiaan Kleijn in Delft for 2 months

Professor Bastiaan Kleijn is a part-time professor in the CAS group. He will be physically present in the period 1 May-1 July 2014.

His expertise is speech and audio signal processing. He will be collaborating with Richard Heusdens and Richard Hendriks.

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New project on improved hearing aids

Richard Hendriks has acquired a new STW project aimed at improving the intelligibility of speech for users of hearing aids.

With a prevalence of about 11 %, severe hearing loss has become a serious problem in our society. While the current generation of hearing aids can be of a great help in certain situations, they generally are not able to provide the hearing-aid user a natural impression of the acoustical scene. An often-reported problem for hearing impaired people is the inability to understand speech in complex acoustical environments as well as the inability to localize sound.

Due to the development of wireless technology, it is possible to equip hearing aids with more powerful noise reduction algorithms to further increase the intelligibility. However, these more powerful multichannel noise reduction algorithms sacrifice naturalness of the sound environment, also when state-of-the-art binaural noise reduction algorithms are used.

This project aims at developing signal processing algorithms to help hearing aid users in these situations, by providing them a natural impression of the acoustical scene.

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PhD thesis AlN Piezoelectric Films for Sensing and Actuation

Congratulations to Tran Trong An for his PhD thesis defense on April 16, 2014

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European Conf Antennas Propagation

TU Delft is platinum sponser and exhibitor at the EuCAP 2014 - The 8th European Conference on Antennas and Propagation, to be held at the World Forum in The Hague, The Netherlands, on 7 to 11 April 2014.

The Microelectronics (ME) department from the faculty of Electrical Engineering, Mathematics and Computer Science, includes research groups actively engaged on teaching and research in the field of antennas and propagation.

Located within the microelectronics department, the mission of the THz Sensing Group is to introduce breakthrough antenna technology that will revolutionize THz Sensing for Space based and Earth based applications. In the long term the research will enable multi Tera-bit wireless communications.

Alle-Jan van der Veen appointed EURASIP Fellow

The award is for contributions to array signal processing applied to communications and radio astronomy. In 2014, four researchers have been recognized as Fellow.

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PhD thesis Carbon Nanotubes as Vertical Interconnects in 3D Integrated Circuits

Congratulations to Sten Vollebregt for his PhD thesis defense on March 7, 2014

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Georg Kail new postdoc at CAS

Georg Kail is a new postdoc at CAS, working with Geert Leus on distributed localization

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Przemek Pawelczak new Assistant Professor

In July 2012, Przemek Pawelczak was awarded a VENI research grant from NWO. This grant (EUR 250k) allows the researcher to fund his own research for up to 3 years. The topic of the research is "Intelligent spectrum use in emergency networks", and it will explore statistical methods to guarantee quality of communication in Cognitive Radio Emergency Networks.

Following this, Przemek was appointed as Assistant Professor in the Embedded Software group and started in January 2013.

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PhD thesis MIP Plasma Decapsulation of Copper-wired Semiconductor Devices for Failure Analysis

Congratulations to Jiaqi Tang for his PhD thesis defense on Januari 15, 2014

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A new professor

In July 2013, Bogdan Staszewski was appointed TU Delft Antoni van Leeuwenhoek professor. These full professor positions are awarded on a personal basis and are reserved for "young", excellent researchers.

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A new professor

On 26 Sept 2012, the Board of Directors of TU Delft has decided to appoint Geert Leus as Antoni van Leeuwenhoek Professor in the CAS group. This is a `personal' full professorship aimed to promote young, excellent academics to Professor at an early age so that they can develop their academic careers to the fullest possible extent

PhD thesis IC Compatible Wafer Level Fabrication of Silicon Nanowire Field Effect Transistors for Biosensing Applications

Congratulations to Thomas Moh Shan Yau for his PhD thesis defense on December 9, 2013

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IEEE Fellow

Congratulations to Prof. Kouchi Zhang for being an IEEE Fellow

Eurosensors 2013 Fellow Award

Congratulations to Fredrik Creemer for his Eurosensors 2013 Fellow Award @Transducers 2013, Barcelona


IEEE Sensor Interfaces Meeting 2024

IEEE Sensor Interfaces Meeting 2024

SIM will take place for the third time in 2024, on 25 and 26 April, and for the first time in San Diego, hosted by UCSD. SIM is a workshop-like event with only keynote talks from industry and academia

This year the Sensor Interfaces Meeting is expanding to include poster sessions to give participants the chance to share, discuss and debate the latest trends and advances, as well as industry-leading products.

We encourage the submission of state-of-the-art mature, already industrialized sensor interface solutions, as well as emerging interface concepts and solutions with highly innovative and revolutionary potential.

SIM is intended to be equally attractive for students, professors, and colleagues from industry, with particularly low registration fees for students.

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PhD Thesis Defence

High-Performance Multilevel Class-D Audio Amplifiers

Huajun Zhang

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Microelectronics colloquium

Running large EU projects: Intelligent Reliability (iREL40)

Willem van Driel

Running large EU projects: Intelligent Reliability (iREL40)

Intelligent Reliability 4.0 (iRel40) is a 102MEuro European funded project with the ultimate goal of improving reliability of electronic components and systems by reducing failure rates along the entire value chain. The project finalized in December 2023 and achieved significant results, strengthening production along the value chain and supporting the sustainable success of investment in microelectronics in Europe through the improvements of the reliability of electronic systems. More than 100 publications based on journal and conference articles were published or are under preparation including a book on the iRel40 outcome. In this presentation, Prof van Driel will highlight the main findings of the project. Also, he will share how to set-up and run such large EU projects.


Willem van Driel has a >30-year track record in the reliability domain. Application areas range from healthcare, gas and oil explorations, semiconductors and my current position in Signify where I am responsible for Solid State Lighting reliability. Besides that, he holds a professor position at the University of Delft, The Netherlands. His scientific interests are solid state lighting, microelectronics and microsystems technologies, virtual prototyping, virtual reliability qualification and designing for reliability of microelectronics and microsystems. He acts as the chair for the organizing committee of the IEEE conference EuroSimE and has authored and co-authored more than 350 scientific publications, including journal and conference papers, book or book chapters and invited keynote lectures. He holds 20 patents. He is a certified DFSS Black Belt.

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Opening Makersspace

Festive opening ceremony Johanna Manders Makersspace

On March 26th at 12:00 the Johanna Manders Makerspace will be oficially opend.. You can find further details regarding the naming of the makerspace in an article featured in TU Delta, commemorating the International Women’s Day.

The ceremony will be graced by the presence of Professor Annoesjka Cabo, the Director of Education at EEMCS, along with members of the Manders Brada Stichting executive board, J.W.R. (Jasper) Stimm and R. (Roel) Klooster. Following the opening, a workshop conducted by the vrouwencommissie FEE of ETV will take place in the makerspace. During the workshop, students will craft jewelry using electronic components, such as capacitor earrings, PCB necklaces, and more. The workshop will conclude at 14:00. You are welcome to join the festivities any time between 12:00 and 14:00.

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Guest presentation Alejandro Linares Barranco

Spike-based Signal Processing to Develop Neuromorphic Auditory Sensors and Robotic Motor Controllers

Alejandro Linares Barranco

Spike-based Signal Processing to Develop Neuromorphic Auditory Sensors and Robotic Motor Controllers

Bio-inspired systems try to understand real biological systems. Living beings' nervous systems in general and neurons in particular, represent the natural computing that is the inspiration of neuromorphic engineers. Neuromorphic systems are thought to provide a high level of parallelism, interconnectivity, and scalability, performing complex processing in real-time, with a balanced relation between quality, speed, and resource consumption. Frequency-based neuron models can be used to develop Neuro-inspired auditory sensors or motor-neuron models. This talk is focused on presenting the basis of spike-based signal processing (SSP), and its application in two different worlds: a Neuromorphic Auditory Sensor (NAS) and Neuro-inspired motor controllers for robotics. We have developed spiking PID controllers (SPIDs), whose spikes drive final actuators, maintaining the neuro-inspiration. Furthermore, with SSP one can model a bank of band-pass frequency filters to model a cochlea. Two different datasets are available for learning-based applications for these applications: LIPSFUS, an audio-visual lips-reading dataset, and LeminscateEDScorbot, a collection of SPID activity for more than 700 lemniscate trajectories for learning applications.

Bio: Alejandro received a B.S. degree in Computer Engineering, an M.S. degree in Industrial Computer Engineering, and a Ph.D. degree in Computer Engineering on Neuromorphic Hardware Interfaces from the University of Seville, Spain, in 1998, 2002, and 2003, respectively. His research interests include VLSI digital design for FPGA, embedded systems, neuromorphic computing for sensors, robotics, and deep-learning applications. He has been an Assistant / Associate / Full professor at the University of Seville since 2003. He co-founded the spin-off COBER, which focused on biomedical robotics and neuromorphic hardware development. He has served as head of the Department of Architecture and Tech. of Computers until 2021. He has been chair of the Neuromorphic Systems group of SCORE since 2020. He has served as chair of the Neural Systems and Applications track of the CAS Society (IEEE). He has been a visiting professor at the University of Zurich / ETHZ, Bielefeld University, and Ulster University.

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PhD Thesis Defence

Integrated Technologies for Smart Catheters

Jian Li

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PhD Thesis Defence

Revitalizing CMUTs

Shinnosuke Kawasaki

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PhD Thesis Defence

Printed spark ablation nanoparticle films for microelectronics applications

Joost van Ginkel

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ME colloquium

Nonstandard Inverse Scattering Problems in Electrical Engineering – From Wave Speed Inversion in Transmission Lines to Electrical Properties Tomography of Tissue

Rob Remis

Nonstandard Inverse Scattering Problems in Electrical Engineering – From Wave Speed Inversion in Transmission Lines to Electrical Properties Tomography of Tissue

In this talk we discuss two nonstandard inverse scattering solution methodologies. As is well known, inverse scattering problems are nonlinear and ill-posed and are typically formulated as optimization problems in which a certain objective function is minimized. In our first solution methodology, however, we present a direct physics-based solution method for transmission line/one-dimensional profile inversion problems that is not based on objective function minimization. Specifically, our solution method reconstructs the wave speed on a finite or semi-infinite interval/transmission line, based on impedance measurements carried out at one end of the line and on a frequency interval of interest. Under certain conditions, the method is guaranteed to converge and there is no risk of getting stuck in a local minimum of an objective function and ending up with suboptimal solutions. Nonuniqueness issues in case of a semi-infinite interval are also briefly discussed.   

Our second inverse scattering problem consists of retrieving the conductivity and permittivity values of different tissue types based standard magnetic resonance data. In particular, the data consists of a circularly polarized part of the radiofrequency magnetic field (the so-called B1+ field) that has its support inside the reconstruction domain. The considered tissue parameter retrieval problem is therefore nonstandard since data in inverse scattering usually has its support outside the reconstruction domain. Having the data available, our reconstruction method attempts to retrieve the dielectric tissue parameters using domain integral equation representations for the electromagnetic field in a nonlinear conjugate-gradient updating scheme. Several examples will illustrate the performance of the method and possible extensions of the method will be discussed as well. 


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ECTM Master thesis event

ECTM Master thesis event

Dear Master students,

the ECTM section of the Microelectronics department is happy to present its research activities, collaborations with many industrial partners and available Master thesis projects to you.
In this event, you will discover our works in M/NEMS, sensors, biodevices, novel materials, power IC design, microelectronic packaging and reliability, and more from fellow students and the ECTM staff!

Come join us!
We will have food and drinks too :-)

Thinking of attending, or looking for more information?
Please register or inquire by sending us an email at

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MSc thesis defence

Organ-on-Chip platform for Vascularisation of Cortical Brain Organoids with Transient Membrane

Friso Kahler


The MS3/ELCA Mastermarket

MS3/ELCA groups

Dear Students,

Get ready for a journey into the world of cutting-edge research in RF technology, radar & communication!

On February 9, we are organizing the MS3/ELCA Mastermarket. On this occasion we, the MS3 and ELCA sections, will inform you about the Master thesis opportunities in our groups, and demonstrate our research with actual measurements, presenting processed experimental results and showing the added value of this research for applications such as automotive radar, 5G/6G, health and well-being, weather and climate change. As RF systems for radars and communication are sources of huge data, we also demonstrate AI capabilities.

We're opening the doors to our measurement labs: the Earl McCune Labs (21st floor), the anechoic chamber (22nd floor), the mm-wave radar lab (22nd floor), and the surveillance radars (23rd floor and roof).

Mark your calendars for 15:30, and meet us in room HB20.150.

We start with a few short presentations followed by the tour and then we will enjoy the pizza and discuss more!

Please send an email to to let us know you will join (and we can make sure there is enough pizza ;-))

 We look forward meeting you!
The MS3 & ELCA sections

Tinnitus Symposium

The Sounds of Progress -- Advancing Tinnitus Science, Technology, Solutions and Relief

Dirk de Ridder, Joop van Gent, Mark Janssen, Gerard Borst, Wouter Serdijn

Tinnitus research has ignited social and clinical interest, reflecting the growing number of sufferers worldwide. The demand for innovative strategies and therapies to combat tinnitus is at an all-time high. That's why we're excited to invite you to our inaugural symposium, where we aim to bridge the gap between seasoned scientists, emerging researchers, and dedicated clinicians, all of whom are committed to exploring the latest breakthroughs, sharing ideas, and addressing the challenges in the field.

Participate in a profound learning opportunity at the inaugural tinnitus symposium. Get ready for a dynamic, interdisciplinary gathering where the exchange of knowledge will kindle fresh insights that can be immediately applied to advance both research and clinical practice.

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MSc SPS Thesis presentation

Towards Robust Object Detection in Unseen Catheterization Laboratories

Zipeng Wang

Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central problem explored in this thesis is the fact that the performance of the detector can degrade drastically if it is trained and tested on data from different Cath Labs. 


Our research aimed to investigate the underlying causes of this specific performance degradation and find solutions to mitigate this issue. We employed the YOLOv8 object detector and created datasets from clinical procedures recorded at Reinier de Graaf Hospital (RdGG) and Philips Best Campus, supplemented with publicly accessible images. An aggregated version of object detection metrics was created for multi-camera system evaluation. Through a series of experiments complemented by data visualization, we discovered that the performance degradation primarily stems from data distribution shifts in the feature space. Notably, the object detector trained on non-sensitive online images can generalize to unseen Cath Labs, outperforming the model trained on a procedure recording from a different Cath Lab. The detector trained on the online images achieved an mAP@0.5 of 0.517 on the RdGG dataset. Furthermore, by switching to the most suitable camera for each object, the multi-camera system can further improve detection performance significantly. An aggregated 1-camera mAP@0.5 of 0.679 is achieved for single-object classes on the RdGG dataset.


THz Symposium

Dutch Symposium on Terahertz Science and Technology - 3rd Edition

You are cordially invited to join us for the third edition of the Dutch Terahertz Symposium on January 25, 2024. It is a co-organized event between the Delft and Eindhoven University of Technology. With these series of symposiums, we aim to create an environment to exchange information and allow the Dutch Terahertz community to find collaborations and funding opportunities.


The 2024 Dutch Terahertz Symposium aims to bring together the Dutch research community and industry interested in the field of terahertz science and technology. There will be six featured talks from both academic and industrial institutions about the latest developments in the field. You can find the list of speakers and topics attached to this email. There will be plenty of opportunities for interaction with each other and inspired further community building.


Save the date to join a full day of interesting presentations, Q&As, and panel discussions!

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ME colloquium

The beauty of simplicity – or: “How I fell in love with a plain diode”

Matthias Eberlein

The beauty of simplicity – or: “How I fell in love with a plain diode”

Nearly all modern SoCs require accurate references, and also a smart thermal management. The critical device for those applications is usually a parasitic bipolar transistor. However, in recent FinFET technologies a specific challenge arises from the degraded current gain (beta) and associated linearity issues.
This talk presents the re-discovery of an ordinary pn-junction, together with an innovative concept called “capacitive bias”: The critical signals, which are the basis of every bandgap reference or temperature sensor, are generated precisely by switched-capacitor timings.
This contribution further intends to encourage the appreciation of elegant and small solutions – in the sense as it was stated by legendary Warren Buffet: “The schools reward difficult, complex behavior more than simple behaviour, but simple is more effective.”


Matthias Eberlein received the German Diplom in Semiconductor Electronics from TU Darmstadt in 1995. He started his career with Infineon in Munich, working on cellular IPs, and later on leading edge process nodes with Intel and Appl. Recently he left the Industry path and joint Fraunhofer Institute in Germany, but he is also associated with Johannes Kepler University in Linz/Austria, where he completed (in 2021) his PhD studies on thermal sensor topics.

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Multi-feature-based Automatic Targetless Camera-LiDAR Extrinsic Calibration

Xi Chen

In autonomous driving, environmental perception, crucial for navigation and decision-making, depends on integrating data from multiple sensors like cameras and LiDAR. Camera-LiDAR fusion combines detailed imagery with precise depth, improving environmental awareness. Effective data fusion requires accurate extrinsic calibration to align camera and LiDAR data under one coordinate system. We aim to calibrate the camera and LiDAR extrinsic automatically and without specific targets. Targetless, non-automated calibration methods are time-consuming and labor-intensive. Existing advanced methods have proven that automatic calibration methods based on edge features are effective, and most focus on the extraction and matching of single features. The proposed method matches 2D edges from LiDAR's multi-attribute density map with image-derived intensity gradient and semantic edges, facilitating 2D-2D edge registration. We innovate by incorporating semantic feature and addressing random initial setting through the PnP problem of centroid pairs, enhancing the convergence of the objective function. We introduce a weighted multi-frame averaging technique, considering frame correlation and semantic importance, for smoother calibration. Tested on the KITTI dataset, it surpasses four current methods in single-frame tests and shows more robustness in multi-frame tests than MulFEAT.

Our algorithm leverages semantic information for extrinsic calibration, striking a balance between network complexity and robustness. Future enhancements may include using machine learning to convert sparse matrices to dense formats for improved optimization efficiency.

ME colloquium

Opening the THz band for astronomy

Jochem Baselmans

Opening the THz band for astronomy

In Astronomy new discoveries have always been a direct consequence of new instrumentation, which started with the invention of the telescope by Hans Lippershey in the Netherlands in 1608. Nowadays instrumentation exists across virtually the entire EM spectrum, from radio waves to gamma rays, but one frequency band remains poorly explored: The THz range. This is due to a combination of practical and technical difficulties. First, the atmosphere of the earth is largely opaque and requires telescopes on high and remote locations or space. Second, semiconductor technology is not well suited for the THz range: Amplifiers are too slow, and CCD’s or CMOS detectors have a too large band gap. Hence TU Delft and SRON develop superconducting detector technology to open up the THz window for astronomy. Our detectors are the world’s best and therefore we are the main detector supplier for the NASA FIR probe mission proposals, with the goal of launching the successor of the James Webb Space Telescope with TUD/SRON detectors 10 years from now. In the mean time we have three instruments with our detectors operating at this moment. The most important is Deshima 2.0, using our invention of the on-chip spectrometer as key element. This instrument is fully developed by the experimental astronomy group and operated at the ASTE telescope in Chile. I will discuss our technology, why it is so relevant and what we will try to achieve within the coming years.

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Signal Processing Seminar

Error-correcting codes and cryptography: from theory to practice

Xinmiao Zhang
Ohio State University

Error-correcting codes (ECCs) and cryptography schemes are indispensable to the reliability and security of numerous classic and emerging systems. Advanced ECCs play essential roles in the performance of 5G/6G wireless communications, hyper-scale distributed storage, in/near-memory computing, and quantum computing. They are also key enablers of high-density next-generation memories and wafer-scale integration, which are important pillars of the CHIPS Act. With the development of new technologies, such as quantum computers and cloud computing, traditional cryptography schemes are no longer secure and/or pose privacy concerns. There are imminent needs for post-quantum cryptography and homomorphic encryption for privacy-preserving cloud computing. Protecting the circuit chips implementing advanced functions from counterfeiting is also necessary to preserve the semiconductor supremacy achieved by the CHIPS Act.

This talk presents our recent contributions on related topics. Efficient and high-speed generalized integrated interleaved ECC decoders are developed to meet the tight latency and excellent error-correcting capability requirements of next-generation hyper-speed memories. Code construction and decoder designs are jointly optimized to enable low-latency failure recovery and continued scaling of distributed storage. Our generalized logic locking includes many previous designs as special cases and achieves better resilience towards various attacks. Logic locking that can effectively protect chips implementing fault-tolerant functions, such as machine learning, are also developed by exploiting algorithmic specifics. Last by not least, high-speed and low-complexity hardware accelerators are designed for homomorphic encryption and post-quantum cryptography.


Xinmiao Zhang received her Ph.D. degree in Electrical Engineering from the University of Minnesota. She is currently a Professor at the Ohio State University. She was a Senior Technologist at Western Digital/SanDisk 2013-2017. Prior to that, she was a Timothy E. and Allison L. Schroeder Associate Professor at Case Western Reserve University. Prof. Zhang’s research spans the areas of VLSI architecture design, digital storage and communications, cryptography, security, and signal processing.


Prof. Zhang is a recipient of the NSF CAREER Award 2009, the College of Engineering Lumley Research Award at The Ohio State University 2022, the Best Paper Award at ACM Great Lakes Symposium on VLSI 2004, and Best Paper Award at International SanDisk Technology Conference 2016. She authored “VLSI Architectures for Modern Error-Correcting Codes” (CRC Press, 2015), and co-edited “Wireless Security and Cryptography: Specifications and Implementations” (CRC Press, 2007). Prof. Zhang was elected the Vice President-Technical Activities of the IEEE Circuits and Systems Society (CASS) 2022-2023 and served on the Board of Governors of CASS 2019-2021. She was also the Chair (2021-2022) and a Vice-Chair (2017-2020) of the Data Storage Technical Committee (DSTC) of the IEEE Communications Society.  She served on the technical program and organization committees of many conferences, including ISCAS, ICC, GLOBECOM, SiPS, GlobalSIP, MWSCAS, and GLSVLSI. She has been an Associate Editor for the IEEE Transactions on Circuits and Systems-I (TCAS-I) 2010-2019 and IEEE Open Journal of Circuits and Systems since 2019. She will be the Associate Editor-in-Chief of TCAS-I 2024-2025.

MSc SPS Thesis presentation

Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements

Weijia Yi

“This project develops a channel estimation technique for millimeter wave (mmWave) communication systems. Our method exploits the sparse structure in mmWave channels for low training overhead and accounts for the phase errors in the channel measurements due to phase noise at the oscillator. Specifically, in IEEE 802.11ad/ay-based mmWave systems, the phase errors within a beam refinement protocol packet are almost the same, while the errors across different packets are substantially different.

We show that standard compressed sensing algorithms that treat phase noise as a constant fail when channel measurements are acquired over multiple beam refinement protocol packets. Most of the methods that have addressed this problem treat phase noise as purely random, missing the inherent structure within the measurement packets. We present a novel algorithm called partially coherent matching pursuit for sparse channel estimation under practical phase noise perturbations. The proposed approach leverages this partially coherent structure in the phase errors across multiple packets. Our algorithm iteratively detects the support of sparse signal and employs alternating minimization to jointly estimate the signal and the phase errors.

We numerically show that our algorithm can reconstruct the channel accurately at a lower complexity than the benchmarks, and derive a preliminary support detection bound as a performance guarantee.”

Microelectronics Research Day 2023

Microelectronics Research Day 2023

TU Delft Microelectronics Research Day
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ME colloquium

Generative AI

Justin Dauwels

Generative AI

Generative AI refers to a category of artificial intelligence models that are designed to generate new content, such as text, images, audio, or other types of data. Probably the best known example of generative AI is ChatGPT, the fastest consumer application to hit 100 million monthly active users. Generative AI models use machine learning algorithms to learn patterns and structures from existing data and then produce new data that is similar in style or content to what they have been trained on.

In this presentation, I will talk about projects in our group on deep generative models. I will briefly present novel kinds of deep generative models that we are developing in our team. Next I will explain how we are designing such models for rainfall nowcasting, where we integrate physical laws into the deep generative models.  At last, I will talk recent AI related initiatives that my team is involved in.

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MSc SS Thesis Presentation

Enhancing Fiber Direction Estimation from Electrograms

Elena van Breukelen

For the heart to pump blood throughout the body, electrical impulses that trigger the cellular contraction must be generated and spread through the myocardial tissue. These signals propagate faster along the longitudinal cardiac fiber direction than the transverse direction, conferring the heart with anisotropic conduction properties. Therefore, the arrangement of the fibers within the tissue governs the impulse propagation. Given the variability of the fiber direction across the heart and between patients, incorporating it into electrophysiological models would enhance our understanding of the mechanisms and progression of different heart conditions, such as atrial fibrillation (AF). The study of this common cardiac arrhythmia relies on analyzing electrical recordings of the heart, known as electrograms (EGMs), which, if integrated with the patient’s fiber architecture into cardiac models, can enable effective personalized treatment. Over the years, researchers have proposed different approaches to estimate the fiber direction from EGMs. However, these methods have been evaluated in different, usually simplistic, cardiac tissue models, making their comparison, and therefore selection of the most accurate approach for clinical and research applications, challenging.

The current study aims to identify the best fiber direction estimation method under consistent and realistic conditions. To achieve this goal, synthetic EGMs and local activation time (LAT) maps were generated from 2D and 3D monodomain models that mimicked the muscle bundle, atrial bilayer, and ventricular transmural fiber rotation structures. A comparison analysis of existing fiber direction estimation methods, first as described by their authors and then standardized to have the same spatial resolution, showed the superior performance of the techniques based on fitting an ellipse to local conduction velocity or conduction slowness vectors from a whole LAT map. The estimation accuracy of these methods can be further improved by increasing the number of vectors to which the ellipse is fitted. Nonetheless, given the influence of underlying layers in the epicardial recordings, the estimation error increases in the tissue models where fibers in the epicardial and endocardial layers run perpendicularly. The effect on the estimate of such architecture, characteristic of the inferior side of the right atria and the ventricles, can be accounted for by combining epicardial electrical recordings obtained after pacing either in the endocardium or the epicardium. Although a preliminary assessment of the estimation methods was carried out with human EGMs, future studies should focus on validating the methods in a controlled experimental framework and refining them for more localized fiber direction estimation. All in all, the automation of the techniques and their integration into electrophysiological models brings us a step closer to creating valuable clinical tools for diagnosing and treating electropathologies.

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MSc ME Thesis Presentation

Dead time control circuit in monolithic GaN class-D audio amplifier

Jing Pan

PhD Thesis Defence

Pitch-Matched Integrated Transceiver Circuits for High-Resolution 3-D Neonatal Brain Monitoring

Peng Guo

Peng Guo will defend his PhD thesis entitled

Pitch-Matched Integrated Transceiver Circuits for High-Resolution 3-D Neonatal Brain Monitoring

on Wednesday, Sept. 27th. The layman's talk will be at 12:00, the defence starts at 12:30.

The thesis can be downloaded from the TU Delft repository. Peng's work was part of the MIFFY project.

Livestream of the defence: link

Promotors: Michiel Pertijs and Nico de Jong

Abstract: This thesis presents the design and implementation of integrated ultrasound transceivers for use in transfontanelle ultrasonography (TFUS). Two generations of ultrasound transceiver ASICs integrated with PZT transducer arrays intended for TFUS are presented. In the first generation, a novel AFE design that combines an LNA with the continuous TGC function is realized in a bid to mitigate the gain-switching and T/R switching artifacts. Besides, a new current-mode micro-beamforming design based on boxcar integration (BI) is also implemented to reduce the channel count within a compact layout. In the second generation, the AFE is derived from the first version, while the design focuses on RX backend circuitry and channel-count reduction, including a passive BI-based µBF merged with a charge-sharing SAR ADC, which digitizes the delayed-and-summed signals, and a subsequent multi-level data link, which concatenates outputs of four ADCs. In total, a 128-fold reduction in channel count is finally achieved. The techniques we developed have established the groundwork and removed the initial barriers for an electronics architecture suitable for a wearable 3D TFUS device.

MSc SPS Thesis presentation

Friction Identification on Gantry Stage

Lan Jia

In an era marked by the demand for unprecedented levels of precision in engineering applications, the profound impact of friction forces on motion control systems cannot be underestimated. This thesis extensively investigates the frictional behavior of the Proton Motion Stage, an advanced high-precision motion control system developed by Prodrive Technologies. This research conducts both experimental investigations and computational simulations, offering valuable insights into its friction behavior across diverse conditions and scenarios. 

The research begins with an analysis of existing models used to describe friction behavior in precision engineering systems. A critical evaluation of empirical models highlighting strengths and limitations is presented, and the LuGre friction model is selected for further research. Subsequently, the chosen model is used to simulate the behavior of the Proton Motion Stage. The simulation setup is described, including the incorporation of the LuGre friction model and the identification of system parameters. The accuracy of the identification is above 99%. The sensitivity analysis of the parameters is also conducted to enable a comprehensive exploration of friction dynamics. Finally, the research delves into static and dynamic parameter experiments, where cable slab forces' position-dependent impacts and velocity-friction maps that capture the intricate Stribeck effect are presented, and closed-loop and open-loop setups to dissect friction behavior during rapid motion changes are employed. Residual analysis of histogram and 90% confidence autocorrelation and cross-correlation is also presented to study the quality of identification. Overall, this thesis combines theory and practice to enhance our understanding of friction in precision engineering systems.

MSc SPS Thesis presentation

Small end-to-end OCR model

Jingwen Dun

Optical Character Recognition (OCR) is a pivotal technology used to extract text information from images, finding wide-ranging applications in document digitization and medical records management. The integration of machine learning has ushered in an era of swift and precise OCR models. Broadly, OCR comprises two key components: detecting the bounding boxes around text instances and recognizing the characters within them. Presently, prevailing OCR models are primarily intricate two-stage systems necessitating real-time operation on remote servers. Nevertheless, end-to-end models exhibit superior performance from a data utilization perspective. There exist scenarios where offline models prove indispensable, such as in environments with restricted internet access or locales with stringent data privacy and security requirements.

This project delves into various end-to-end models, leveraging the PaddleOCR end-to-end model as a foundational reference to devise a compact OCR model tailored for edge devices. Through meticulous optimization of the backbone architecture and the introduction of diverse Feature Pyramid Network (FPN) structures within the stem network, we achieved a remarkable reduction in model size, down to 19MB. This represents a substantial advancement, constituting merely one-tenth of the original PaddleOCR end-to-end model's footprint.

By leveraging an extensive database and conducting a series of fine-tuning experiments specifically tailored for end-to-end OCR tasks involving curved text images, the model exhibits an impressive precision rate of 47.3% and an f-score of 45.3%. This achievement highlights the effectiveness of the customized loss function relative to the original model, despite its reduced size. Notably, this performance is comparable to certain end-to-end models with larger backbones. Furthermore, an Android demo has been carefully developed to demonstrate the model's capabilities on mobile devices, achieving an average processing time of 433 milliseconds per image.

ME colloquium

Cytomorphic approaches for health monitoring

Filipe Arroyo Cardoso

In the past decade, there has been a rising interest in wearable and implantable devices for health monitoring. The concept is that measuring different biological parameters in real time will enable the continuous monitoring of individuals' health. The success of glucose monitors (e.g., Abbott, Dexcom) for diabetic patients and heart-rate monitors (e.g., Fitbit, iWatch) for the general population demonstrate the increasing importance of wearables in chronic disease management and well-being monitoring, respectively. However, monitoring a single parameter, such as glucose or heart rate, gives limited information on the human body's functioning. This seminar will showcase Filipe's vision of enabling multiparametric continuous real-time health monitoring for early diagnosis and disease prognosis. Firstly, he will discuss the need to probe the cell's primary communication pathways, molecular communication, to assess people's health fully. Then, the cell-inspired (cytomorphic) strategies that are being developing will be shown to probe molecules. Further will be discussed the effort to improve CMOS-based implants' biocompatibility using cytomorphic approaches. Finally, the future perspectives in cytomorphic molecular sensing and cytomorphic ideas on processing a large amount of molecular data will be discussed.

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MSc SPS Thesis presentation

Efficient Content-Based Image Retrieval from Videos Using Compact Deep Learning Networks with Re-ranking

Doruk Barokas Profeta

The rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of searching for specific instances in video search is complex that requires the analysis of video sequences and the identification of relevant video segments. Advanced techniques and algorithms are necessary to ensure effective content-based retrieval of the required information.

In response to the escalating demand for accurate and swift access to relevant visual data within the vast spectrum of video resources, our research has been dedicated to the development of novel, efficient content-based image retrieval methods tailored for videos by integrating deep learning methodologies. Our comprehensive system contains two crucial components: keyframe extraction and content-based image retrieval. Keyframe extraction involves identifying significant frames within videos, while content-based image retrieval enables the retrieval of similar frames to a query image through feature extraction and ranking.

A unique aspect of our research lies in the exploration and analysis of a diverse range of feature extraction techniques derived from compact deep learning networks. We have compared our proposed method with state-of-the-art retrieval systems, evaluating performance metrics in terms of both accuracy and speed. Our method harnesses the power of compact deep learning network features in the initial ranking stage, effectively sublisting frames, and subsequently introduces re-ranking using a larger network. This innovative approach promises to deliver the best of both worlds: exceptional efficiency without compromising retrieval accuracy.

Repository link:


Signal Processing Seminar

Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning

Sunqiao Sun
Univ. Alabama, USA

Millimeter-wave automotive radar emerges as one of key sensing modalities for autonomous driving, providing high resolution in four dimensions (4D), i.e., range, Doppler, and azimuth and elevation angles, yet remain a low cost for feasible mass production. In this talk, we will address the challenges in automotive radar for autonomous driving, examine how signal processing and deep learning can be combined to optimize the performance of automotive radar systems, and outline future research directions. Our focus will be on the generation of high-resolution radar imaging using multi-input multi-output (MIMO) radar and frequency-modulated continuous-wave (FMCW) technology. We will examine the challenges of waveform orthogonality, mutual interference, and sparse antenna array design and present our recent innovations in the field, including sparse array interpolation via forward-backward Hankel matrix completion, fast direction-of-arrival estimation via unrolling iterative adaptive approach, and adaptive beamforming via deep reinforcement learning, leading to the generation of high-resolution low-level automotive radar imaging, represented in bird's-eye view (BEV) format, providing rich shape information for object detection and recognition with deep neural networks. However, the radar BEVs are in general hardly shift-invariant over both angle and range since not every pixel is generated equally. The talk will highlight the importance of physics-aware machine learning in perception task on high-resolution radar imaging. We will show how incorporating radar domain knowledge and signal structure into deep neural network design can lead to more accurate and reliable object detection and recognition. Finally, we will discuss future research directions, including integrated sensing and communication, and collaborative radar imaging via an automotive radar network.


Shunqiao Sun received the Ph.D. degree in Electrical and Computer Engineering from Rutgers, The State University of New Jersey under supervision of Prof. Athina Petropulu in Jan. 2016. He is currently an assistant professor at The University of Alabama, Tuscaloosa, AL, USA. From 2016-2019, he was with the radar core team of Aptiv, Technical Center Malibu, California, where he has worked on advanced radar signal processing and machine learning algorithms for self-driving vehicles and lead the development of DOA estimation techniques for next-generation short-range radar sensor which has been used in over 120-million automotive radar units. His research interests lie at the interface of statistical and sparse signal processing with mathematical optimizations, automotive radar, MIMO radar, machine learning, and smart sensing for autonomous vehicles. Dr. Sun has been awarded 2016 IEEE Aerospace and Electronic Systems Society Robert T. Hill Best Dissertation Award for his thesis “MIMO radar with Sparse Sensing”. He authored a paper that won the Best Student Paper Award at 2020 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). He is Vice Chair of IEEE Signal Processing Society Autonomous Systems Initiative (ASI) (2023-2024). He is an associate editor of IEEE Signal Processing Letters and IEEE Open Journal of Signal Processing. He is a Senior Member of IEEE.

MSc SPS Thesis presentation

Indoor in-network asset localization using Crownstone network

Vishakha K. Marathe

Indoor localization is the process of determining the location of an asset within an indoor environment. Crownstone, a subsidiary company of Almende, wants to fulfill specific tasks within the Crownstone network like developing indoor localization algorithms to get the room-level location of an asset for smart building, home automation and healthcare applications. Crownstones act as sensors that receive the Bluetooth messages transmitted by the asset and measure the strength of the received signal(RSSI).
There are two most widely used and researched asset localization methods, namely, model-based(MB) and data-driven(DD) methods have their drawbacks, especially because of the presence of obstacles, signal interference, reflections, noise that influence the RSSI signals and the dependency of the methods on the knowledge of sensor positions. In this thesis, a centralized multilateration(MB-C) algorithm as well as a simple averaging consensus based distributed(MB-D) algorithm is implemented. Algorithms are tested on real data collected at the Almende office(test environment) divided into a finite number of rooms.
To deal with the challenges posed by the MB algorithms like selecting a model, learning parameters and an additional step of mapping the position output to a room location, an Ensemble based centralized machine learning(DD-C) data driven algorithm is proposed that classifies the asset in one of the rooms with an accuracy of 65%. Algorithm is further improved by distributed data handling leading to a classification accuracy of 77%. To perform in-network localization, a consensus based distributed ML algorithm (DD-D) is proposed that performs local predictions within the Crownstone network using the same globally trained model giving a classification accuracy of 73%. The results show that the proposed DD algorithms perform better than the MB algorithms in terms of accuracy and are comparable in terms of prediction time. They also indicate that the proposed DD algorithms are more scalable, robust against noise but are computationally expensive.
Thesis link:


MSc SPS Thesis presentation

Direction Finding and Localization with Bluetooth 5.2

Xuchang Zhang

The potential of indoor localization using the Bluetooth Low Energy approach increases with the introduction of the Constant Tone Extension (CTE) feature in BLE 5.1. These small and energy-efficient beacons transmit signals that Bluetooth-enabled devices can detect, allowing for proximity and positioning calculations. This technology supports novel applications such as indoor wayfinding. By applying the new feature with an appropriate antenna array, it is possible to estimate both the Angle of Arrival (AoA).

Nevertheless, estimating AoA poses significant challenges, particularly in indoor scenarios. Throughout the span of this project, an in-depth analysis is being conducted on several elements, including multipath propagation and frequency offset. We first look into the I/Q data processing and then dive into the effect of frequency offset. Following that, several AoA estimation algorithms and multipath-mitigation strategies are discussed. Finally, we model the overall AOA estimation problem, followed by a positioning algorithm based on the estimated angles.

In this project, we propose an end-to-end indoor BLE positioning solution. Matlab simulation is performed to assess its performance. The simulation reveals that, with appropriate settings, the Toeplitz Reconstruction (TR) method is the best. In the setting of a 4-by-4 uniform rectangular array (URA), over 90% of the results show a position inaccuracy that is smaller than 0.14 meters.

After the simulation, we conduct a real-world experiment to assess the practicality and effectiveness of the solutions.  The TR approach demonstrates a position error of less than 0.4 m, which is lower than previous BLE positioning research.

Finally, we suggest a few future research directions. This involves optimizing parameters, considering other antenna-affecting elements, etc.

Repository link:

MSc SPS Thesis presentation

Using Tensor Decompositions To Obtain Biomarkers From Auditory Event-Related Potentials

Kenneth Stunnenberg

Brain disorders in children pose significant challenges to their development, impacting cognition, speech, movement, and behavior. The uncertainty surrounding prognostic information at the time of diagnosis leaves families with numerous questions about the future. The Child Brain Lab at Erasmus MC Sophia Children's Hospital conducts IQ, electroencephalogram (EEG), speech, and movement tests in playful environments, enhancing scientific research and healthcare practices for a better understanding of disease progression.

The Otolaryngology department at the Child Brain Lab focuses on auditory-related potentials (ERPs) obtained from EEG measurements to predict the future development of children with brain disorders. Analyzing ERP data from experiments like Mismatch Negativity (MMN) and Acoustic Change Complex (ACC) yields insights into developmental trajectories and connections between hearing, language, and brain development.

This thesis aims to explore alternative methodologies for extracting comprehensive information from ERPs, overcoming limitations of the commonly used peak amplitude and latency analysis. Tensor decompositions are employed to exploit structural information present in the data, using data fusion methods to combine multiple datasets for improved classification and deeper insights into group differences.

Simulations on artificial ERP data demonstrate that data fusion methods perform better on two ERP tensors compared to single tensor decomposition when group differences are shared between datasets. On a real dataset, tensor decompositions show promise for classifying subjects based on auditory event-related potentials while giving more insights into the neurological sources.

This report proposes an alternative method for analyzing ERP data, highlighting the potential of tensor decompositions and data fusion techniques. 



MSc SPS Thesis presentation

Path planning for Lunar rovers An Artificial Potential Field-based algorithm for the path planning of a walking Lunar rove

Thomas Manteaux


Abstract E↵ective path planning is a key challenge for Lunar rovers. This allows for safe autonomous navigation over complex and unknown areas. Lunar Zebro (LZ), a project of the Delft Univer[1]sity of Technology, is developing a robot to be the first European rover to walk on the Moon. This tiny rover, no bigger than an A4 sheet of paper, aims to explore a wide area to monitor solar radiations.

The thesis derives a path plannning algorithm for the local navigation of LZ. State-of-the[1]art path planning methods for terrestrial and non-terrestrial robots are studied. Metrics based on the needs of LZ are defined to compare the algorithms. Artificial Potential Field (APF)- based methods are identified as the most promising for LZ. APF methods are a category of path planning approaches in which robot motion is influenced by virtual forces generated by the destination point and obstacles. A Monte-Carlo simulation in a lunar environment is run to compare APF-based algorithms. The most relevant algorithm is picked up and improved (Bacteria-Aritificial Obstacle (B-AO) algorithm) with respect to success rate, path length and computing time. Finally it is implemented on a LZ prototype and tested in a challenging envi[1]ronment. Testing is conducted on a real lunar testbed made of sand, rocks and craters. A rock and crater abundance model is established considering rock and crater coverage of 2% and 15% respectively to represent the lunar surface as close as possible.

The B-AO algorithm shows 200% higher success rate and 50% lower computing time than the conventional APF algorithm, for only 5% longer path length than the optimal algorithm A*. It also outperforms state-of-the-art APF-based algorithms by more than 15% in reachabil[1]ity and 10% in path length for a similar or shorter planning time. Field testing results exhibit the robustness of the B-AO algorithm to real-world uncertainties in di↵erent scenarios. They also show that near-optimal paths are computed in real-time with limited available processing power. The bacterial approach of the B-AO algorithm makes it faster to execute and smaller to store than path planning algorithms used on existing or past non-terrestrial rovers.

Keywords: Path planning, Moon rover, Artificial Potential Field methods, Lunar Zebro

MSc SPS Thesis presentation

Coded Excitation for Doppler Ultrasound Imaging of The Brain

Lexi Zhu

Doppler ultrasound imaging of cerebral blood flow faces challenges arising from a low signal-to-noise ratio (SNR) and a wide dynamic range. Echo signals received from blood cells are significantly weaker compared to surrounding tissues, such as the skull or brain soft tissue, resulting in inhibited visualization of small blood vessels and deep brain areas. To address this issue, this thesis explored the feasibility of employing and improving coded excitation techniques to enhance the SNR of Doppler ultrasound images. Furthermore, an optimized code for Doppler ultrasound imaging is designed, represented by a generalized encoding matrix. 

The research begins with the definition of a linear signal model that incorporates the encoding matrix. Subsequently, a trace-constraint optimization problem is formulated based on maximizing the Fisher information matrix to find the optimized encoding matrix. The feasibility and performance of the optimized encoding matrix are assessed through simulations on both small and large array settings, which operate above Nyquist sampling frequency and under Nyquist sampling frequency respectively. The imaging results indicate that the optimized code exhibits higher SNR in deep image regions compared to existing coded excitation methods like Barker code while using the same number of transmissions, bit length, and same average transmit energy, albeit with a trade-off of decreased axial resolution. Nonetheless, this resolution degradation can be mitigated through the application of the iterative imaging technique LSQR. Finally, the optimized code is tested in a clinical transducer setting, and a blood flow simulation is conducted. The outcomes showcase the capacity of the proposed optimized code to enable higher SNR in Doppler ultrasound imaging and more accurate and informative clinical assessments. 

MSc ME Thesis Presentation

Characterization of solder joint degradation under board-level reliability tests for vibration and thermal cycling

Letian Zhang


Board-level reliability (BLR) looks at the reliability problem in the package and PCB interconnection, which is an important topic in microelectronics. The current criterion in the BLR test is to look if the connection is open, which can only detect the failure and there is no available method that can detect the degradation of the solder joints. This project mainly focuses on the degradation process of solder joints in board-level vibration tests and thermal cycle tests. Two kinds of test vehicles are adopted in this project, one is a QFN56 package equipped with a four-wire resistance measurement circuit and the other one is a piezoresistive  sensor, which can figure out the changes in stress distribution over two solder joints. Special methods and test programs are developed tailored for the two aforementioned test vehicles, and some of the test results are collected and analyzed. Assisted by the failure analysis technique, the cross-section of the solder joint can be viewed and the crack length can be measured. Findings in this study show the parameter shift during the solder joint degradation and also the mathematic model that describes the relationship between the crack length of the solder joint and resistance increment in electrical measurement. Moreover, with the statistical tools, we find the potential method that can considerably decrease the BLR test time by changing the failure criteria.

Daily advisors: Varun Thukral, Adwait Inamdar

Supervisor: prof. Willem van Driel

MSc SPS Thesis presentation

Ultrasound Imaging through Aberrating Layers using a Virtual Array

Francesca De Carlo

Ultrasound images are typically generated using the Delay-And-Sum (DAS) method, which assumes a homogeneous propagation medium. When an aberrating layer is situated between the sensor array and the imaging target, this assumption does not hold, and DAS is replaced with model-based methods. These methods are computationally expensive and require to accurately model the aberrations caused by the layer. This thesis investigates novel methods for image formation and aberration estimation. The effect of the layer is described using a set of transfer functions from the sensor array to a virtual array placed after the layer. In the first part, we assume the transfer functions are known, and we propose a new method for image formation. The transfer functions allow to map the signal from the sensor array to the virtual array, and the DAS method is used on the virtual array signal. This technique is equivalent to model-based matched filtering in terms of image quality, without requiring expensive matrix computations. In the second part, the transfer functions are unknown, and a novel technique is introduced for their estimation. Using pulse-echo data, a focus-quality metric is computed to quantify the accuracy of the transfer function estimate. The transfer functions are modeled using a dictionary and the dictionary coefficients are iteratively updated to increase the defined metric. The optimization leads to improved focus quality and sharper images. In the case the layer model requires a limited dictionary, the proposed algorithm generates an accurate estimate of the transfer functions.

MSc SPS Thesis presentation

Prediction of Post-induction Hypotension Using Machine Learning

Shuoyan Zhao


Anesthesia-related hypotension is a significant concern during surgery, occurring shortly after induction and potentially leading to severe complications. Since the anesthetic drug is believed to have an important role in the occurrence of post-induction hypotension (PIH), anesthesiologists now advocate for the appropriate selection of anesthetics dosage to avoid PIH.To facilitate such decision-making, an accurate prediction of PIH associated with a certain dosage of anesthetics is necessary.

This thesis presents a high-accuracy prediction model for PIH that supports anesthesia decision-making. The model is trained on data from the VitalDB database of 320 patients undergoing general anesthesia. The target output of this classification model is the occurrence of PIH, as defined through comprehensive analysis that incorporates clinical operations. Besides demographic data and vital signs, our model incorporates the dosage of propofol administered during the induction period as an input variable, mimicking real-world anesthetic plans. By employing the model in the target control infusion system of anesthesia, the anesthetics dosage can be varied as input, providing outcome predictions as security suggestions. An ensemble algorithm is employed to balance the prediction performance and the ability to elucidate the positive relationship between propofol and PIH risk, forming an anesthetics advice model. Compared to previous PIH prediction studies, our prediction model is validated in a more reliable nested cross-validation approach and achieves a higher performance (precision of 0.83 and recall of 0.84). We believe utilizing demographic and dynamic vital signs to predict HIP can be useful in determining the appropriate anesthetic dosage plan, offering potential improvements in patient care and safety.

MSc ME Thesis Presentation

Optimizing sensitivity of capacitive pressure sensors through improved intraocular pressure monitoring

Kiana Griffith

Abstract: This thesis analyzes and describes a wearable pressure sensor to detect intraocular pressure and guide clinician diagnosis of glaucoma. Although glaucoma has many symptoms and risk factors, high intraocular pressure is the most predominant. A method to continuously and accurately record intraocular pressure measurements and fluctuations in a patient could lead to a more reliable glaucoma diagnosis and a better understanding of glaucoma progression. The proposed sensor consists of an ecoflex dielectric layer, between two graphene-silver nanowire spiral antenna electrodes which also act as the membrane structure. The sensor deflection depends on the intraocular pressure fluctuations; higher pressure leads to larger deflection values, therefore, larger capacitance change. The capacitance change leads to a shift of the resonant frequency, which is simulated in this thesis. The sensor must be smaller than 11 mm2 to fit on a commercial lens. Specifically, this thesis analyzes and simulates the effects of electrode thickness and shape on the overall performance of the sensor. The optimum geometry of the capacitive sensor is analyzed to maximize sensor sensitivity and quality factor, with a correlated frequency appropriate for a wearable lens. Using Computer Simulation Technology, the optimized antenna dimensions are spiral-electrodes with a plate thickness of 350μm, and 3 spiral revolutions; leading to an increase in sensitivity of 1.4 MHz/mmHg.

MSc SPS Thesis presentation

LiDAR and Radar-Based Occupancy Grid Mapping for Autonomous Driving Exploiting Clustered Sparsity

Çağan Önen

Occupancy grid maps are fundamental to autonomous driving algorithms, offering insights into obstacle distribution and free space within an environment. These maps are used for safe navigation and decision-making in self-driving applications, forming a crucial component of the automotive perception framework. An occupancy map is a discretized representation of a chosen environment that is constructed using point cloud information obtained from sensor modalities like LiDAR and radar. In this project, we formulate the problem of estimating the occupancy grid map using sensor point cloud data as a sparse binary occupancy value reconstruction problem. We utilize the inherent sparsity of occupancy grid maps commonly encountered in automotive scenarios. Besides, the spatial dependencies between the grid cells are exploited to provide a better reconstruction of the boundaries of the objects inside the range of the map and to suppress the false alarms emerging from the reflections coming from the road. To address sparsity and spatial correlation jointly, we propose an occupancy grid estimation method that is based on pattern-coupled sparse Bayesian learning. The proposed method shows enhanced detection capabilities compared to two benchmark methods, based on qualitative and quantitative performance evaluation with scenes from the automotive datasets nuScenes and RADIal. 

MSc ME Thesis Presentation

Portable microfluidic chip perfusion and heating solution for high-magnification optical microscopy

Vladimir Leshko

MSc SPS Thesis presentation

Finding Representative Sampling Subsets on Graphs: leveraging submodularity

Tianyi Li

In this work, we deal with the problem of reconstructing a complete bandlimited graph signal from partially sampled noisy measurements. For a known graph structure, some efficient centralized algorithms are proposed to partition the graph nodes into disjoint subsets such that sampling the graph signal from any subsets leads to a sufficiently accurate reconstruction on average. Furthermore, we consider the situation when the graph is massive, where processing the data centrally is no longer impractical. To overcome this issue, a distributed framework is proposed that allows us to implement centralized algorithms in a parallelized fashion. Finally, we provide numerical simulation results on synthetic and real-world data to show that our proposals outperform state-of-the-art node partitioning techniques.

MSc SPS Thesis presentation

Estimating Transmembrane Currents and Local Activation Times from Atrial Epicardial Electrograms

Teodor Licurici

Estimating the transmembrane currents travelling through the epicardium and local activation times based on atrial epicardial electrograms can greatly help in the study of cardiac arrhythmias such as atrial fibrillation. This work focuses on the accurate estimation of the aforementioned signals and features. To do this, two least squares-based regression methods were used to estimate transmembrane currents from electrograms and then find their local activation times by searching for the maximum negative slope. The first least squares optimization method consists of using standard least squares, while the second consists of regularized least squares, by combining both lasso and ridge regression, to deal with signal sparsity and multicollinearity, respectively. Furthermore, to improve estimation results, multiresolution analyses based on wavelet decompositions and principal components analysis were used to filter out parasitic components that were present in the estimated transmembrane currents by separating them from the main activation complex of the decomposed signals.

Using these algorithms on simulated data, it was shown that promising results can be achieved for both transmembrane current estimations and LAT estimations. Several wavelet support sizes were tested on the simulated data to observe performance changes. These were compared to an already existing LAT estimation algorithm. The results mainly confirm the efficiency of the proposed methods on severely diseased tissue corrupted by conduction blocks and noise.

MSc ME Thesis Presentation

Design and fabrication of a smart vaporizing liquid microthruster for cubesat applications

Georgios Spernovasilis

PhD Thesis Defence

Ionic electroactive polymer for organs-on-chip applications

Paul Motreuil-Ragot

Additional information ...

MSc SPS Thesis presentation

Comparative analysis of clutter filtering techniques on freehand µDoppler ultrasound imaging

Xuan Gao
Erasmus MC

Micro-Doppler (µDoppler) ultrasound imaging is a high frame rate ultrasound imaging modality that provides high spatiotemporal resolution ultrasound images of blood flow. It is sensitive to slow blood flow and particularly suitable for capturing fast-changing phenomena like rapid blood flow. Clutter filtering is an essential step in µDoppler data processing to reject tissue clutter signals and keep blood flow information as much as possible. 3D freehand µDoppler imaging is an emerging ultrasound technique that can construct full spatial vasculature images with a panoramic view that conventional 2D ultrasound is not able to provide. As freehand implies the continuous and nonuniform movement of the probe, it becomes more challenging for clutter filtering to acquire high-quality images.
This thesis explores and compares different state-of-art clutter filtering techniques on freehand in-vivo µDoppler imaging of the human brain. Specifically, Singular Value Decomposition (SVD), Robust Principle Component Analysis (Robust PCA), and Independent Component Analysis (ICA) clutter filtering techniques have been investigated. The aim is to test and compare their performance on in-vivo µDoppler ultrasound data with freehand probe movement and understand how freehand motion affects the threshold selection criteria. Besides that, a newly proposed method that combines ICA clutter filtering and clustering is included in this thesis to bring another perspective for sorting independent components corresponding to blood flow and rejecting unwanted ones consisting mostly of tissue clutter signals. 

MSc SS Thesis Presentation

Self-calibrated plant counting in early crop stand scenarios using deep clustering

Jonathan Dijkstra

In recent years, the agricultural sector has seen significant techno- logical improvements under the flag of precision agriculture, assisting farmers in the manageability that coincides with large-scale farming. Moreover, precision agriculture aims to enable plant-specific farming on the macro scale that is demanded by the current global population growth. By more closely matching the individual needs of the plants, farmers are able to increase crop yield while reducing the environmen- tal footprint as well as the economic cost of farming due to savings in fertilizers and pesticides.

Visual inspection of arable land is a key factor in maintaining trace- ability of plant growth and health in precision farming. More specif- ically, plant counting, size measurement and plant localisation are of great use for farmers in yield prediction, growth tracking, and obtain- ing insight in the emergence ratio of the crop.

Most of the state-of-the-art plant counters, or object counters in gen- eral, rely on human annotations (labour intensive and error prone) as exemplars for the counting model. Self-supervised object counting, however, is a machine learning paradigm independent of human la- belled data, enabling an object counter to learn solely from raw photo- graphic data. Furthermore, the generative character of self-supervised learning models implies the potential to generalize well on unseen data to the model, such as new plant species or variations in plant size in the case of plant counting.

In this master’s thesis in cooperation with Tective Robotics, a study is performed towards the design of self-calibration based self-supervised object counting and localisation model for the scenario of early crop stand scenarios. More specifically, a novel self-calibrator has been developed to estimate the planting distance in between crops and a threshold for small object noise filtering (weeds, loose leaves ect). Im- plications of the self-calibrator are robustness to variations in plant size and allignement, accurate segmentation of occluded plant clusters and small-sized weed suppression.

Model testing on UAV orthomosaic arable land imagery collected by Tective Robotics B.V. has shown outstanding performance (R2 = 0.94) of the newly developed plant counting model, without the need of any labelled training data. The plant counter is comparable in performance to some of the commercially available plant counters. The plant counter, embedded in the entire data processing pipeline for Geotiff orthomosaics, has been made available on GitHub.

MSc SS Thesis Presentation

Coherent integration for imaging and detection using active sonar

Kaan Demir

Existing sonar systems typically rely on a minimum signal strength of a single echo, which limits their performance in low signal-to-noise conditions. This thesis explores the concept of coherent integration for active sonar, with the aim of improving imaging and detection capabilities under low signal-to-noise conditions. The goal is to provide signal processing methods that achieve long-time coherent integration of the received echoes, thereby maximising the processing gain.  Additionally, this research explores waveform design by comparing the performance of pseudo-random noise with chirps.

Two applications are seen in this thesis: moving target detection, which involves static sonar sensors, and synthetic aperture imaging, where the sensors move while the imaging scene remains static. For moving target detection, a processing methods is proposed which achieves coherent integration for constant velocity targets in a computationally efficient manner, and improves the detection performance by implementing a clutter filtering stage. For the second application, a processing method for imaging from a moving sensor pair is proposed. The resulting point-spread function for a circular sensor trajectory is investigated, from which a set of design rules are established. Additionally, a least squares algorithm is applied, which shows that the resulting image can be improved in terms of resolution and sidelobe interference.

Finally, the imaging and detection methods are tested and verified using an in-air demonstrator.

Invited lecture by Prof Maria Sabrina Greco on cognitive radar

Cognitive Radar

Prof. Maria Sabrina Greco
University of Pisa

Registration and info link.


Over the past fifteen years, “cognition” has emerged as an enabling technology for incorporating learning and adaptivity on both transmit and receive to optimize or make more robust the radar performance in dynamic environments. The term ‘cognitive radar’ was coined in 2006, but the foundations of the cognitive systems date back several decades to research on knowledge-aided signal processing, and adaptive radar design. The main element of cognitive radar systems is the ‘perception-action cycle’, that is the feedback mechanism between receiver and transmitter that allows the radar system to learn information about a target and its environment and adapt its transmissions so as to optimize one or more missions, according to a desired goal. But a truly cognitive radar should not be only able to adapt on the fly its transmission waveforms and parameters based on internal fixed rules and on what learned about the environment, but it should also be able to optimize these rules learning with time from its mistakes, as some biological system does. And this is still a big challenge for radar experts.

This talk will provide an overview of the main concept, of methods for modeling cognitive processes in a radar system and of some application example. Some insights into future directions of research will be provided as concluding remarks.


Maria Sabrina Greco graduated in Electronic Engineering in 1993 and received the Ph.D. degree in Telecommunication Engineering in 1998, from University of Pisa, Italy. From December 1997 to May 1998 she joined the Georgia Tech Research Institute, Atlanta, USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian background. In 1993 she joined the Department of Information Engineering of the University of Pisa, where she is Full Professor since December 2016. She’s IEEE fellow since January 2011 and she was co-recipient of the 2001 and 2012 IEEE Aerospace and Electronic Systems Society’s Barry Carlton Award for Best Paper and recipient of the 2008 Fred Nathanson Young Engineer of the Year award for contributions to signal processing, estimation, and detection theory

She has been co-general-chair of the 2007 International Waveform Diversity and Design Conference (WDD07), Pisa, Italy, in the Technical Committee of the 2006 EURASIP Signal and Image Processing Conference (EUSIPCO), Florence, Italy, in the Technical Committee of the 2008 IEEE Radar Conference, Rome, Italy, in the Organizing Committee of CAMSAP09, Technical co-chair of CIP2010 (Elba Island, Italy), General co-Chair of CAMSAP2011 (San Juan, Puerto Rico), Publication Chair of ICASSP2014, Florence, Italy, Technical Co-Chair of the CoSeRa2015, Pisa, Italy and Special Session Chair of CAMSAP2015, Cancun, Mexico. She has been lead guest editor of the special issue on "Advanced Signal Processing for Radar Applications", on the IEEE Journal on Special Topics of Signal Processing, published in December 2015, guest co-editor of the special issue of the Journal of the IEEE Signal Processing Society on Special Topics in Signal Processing on "Adaptive Waveform Design for Agile Sensing and Communication," published in June 2007 and lead guest editor of the special issue of International Journal of Navigation and Observation on” Modelling and Processing of Radar Signals for Earth Observation published in August 2008. She’s Associate Editor of IET Proceedings – Sonar, Radar and Navigation, Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine, member of the Editorial Board of the Springer Journal of Advances in Signal Processing (JASP), Senior Editorial board member of IEEE Journal on Selected Topics of Signal Processing (J-STSP), and Senior Area Editor of the IEEE Transactions on Signal Processing. She's also member of the IEEE AES and IEEE SP Board of Governors and Chair of the IEEE AESS Radar Panel. She's as well SP Distinguished Lecturer for the years 2014-2015, AESS Distinguished Lecturer for the years 2015-2017, member of the IEEE Fellow Committee and chair of the EURASIP Special Area Team on "Signal Processing for Multisensor Systems (SPMuS)". In May and June 2015 she joined the Université Paris Sud, CentraleSupélec as visiting professor.

Maria is a coauthor of the tutorials entitled “ Radar Clutter Modeling”, presented at the International Radar Conference (May 2005, Arlington, USA), “ Sea and Ground Radar Clutter Modeling” presented at 2008 IEEE Radar Conference (May 2008, Rome, Italy) and at 2012 IEEE Radar Conference (May 2012, Atlanta, USA), coauthor of the tutorial "RF and digital components for highly-integrated low-power radar" presented at the same conference, of the tutorial "Recent Advances in Adaptive Radar Detection" presented at the 2014 International Radar Conference (October 2014, Lille, France) and at 2015 IET Radar Conference (October 2015, Hangzhou, China), co-author of the tutorial "High Resolution Sea and Land Clutter Modeling and analysis", presented at the 2015 IEEE International Radar Conference (May 2015, Washington DC, USA) and of the tutorial "Bistatic active and passive radars" presented at the 2016 IEEE Radar Conference (May 2016, Philadelphia, USA).

Her general interests are in the areas of statistical signal processing, estimation and detection theory. In particular, her research interests include clutter models, spectral analysis, coherent and incoherent detection in non-Gaussian clutter, CFAR techniques, radar waveform diversity and bistatic/mustistatic active and passive radars. She co-authored many book chapters and more than 170 journal and conference papers.


ME colloquium

Towards fully- electric organs-on-chips

Massimo Mastrangeli

Organs-on-chip are microsystems aiming to recapitulate a relevant part of human physiology in vitro within an engineered in vivo-like microenvironment. This technology sits at the convergence of tissue engineering and microfabrication, and has the potential to advance our knowledge of human physiology and enhance along the way the current drug development process. As I will illustrate in the seminar, the specific approach we pursue at ECTM targets the design and development of innovative organs-on-chip, whose multi-material and scalable fabrication processes allows to integrate electrical sensing and actuation functionalities within the devices. By making them more compact, easier to use, and ultimately autonomous, we aim to foster a wider adoption of the organs-on-chip in research and industry, and to contribute to educate a new generation of biotechnological scientists.

Additional information ...

PhD Thesis Defence

A miniature sensorized platform for engineered heart tissue

Milica Dostanic

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ME colloquium

Surveillance Radar 119 years old, still alive and kicking

Hans Driessen

Surveillance Radar 119 years old, still alive and kicking

The first radar that was used in a surveillance application was patented in 1904. Since then, surveillance radar has evolved into the inevitable, mature and complex EM sensing system as it is today. In this presentation, I will first briefly illustrate some of the major developments, like digital beamforming, pulse compression and Doppler processing, that have led to these capable radar sensors. Then I will sketch some of the more recent and upcoming technological innovations, like for instance, phased array antennas with digital waveform generation. I will emphasize the role of algorithms for data processing and radar control that are necessary for turning these developments into real new surveillance radar evolutions, and highlights some examples of novel algorithmic concepts for problems that we have been investigating recently.

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PhD Thesis Defence

Understanding the Fundament of Virus Inactivation via Modelling

Chunjian Tan


Heterogeneous system integration - Driving the EU Chip Act ambitions

The Netherlands have a strong national ecosystem for quantum, photohics and semiconductor technologies, well connected to international key players. This symposium aims to build on this strength by intensifying collaboration among these domains.

Heterogeneous integration plays a crucial role in enabling future quantum, photonics and semiconductor technologies by creating new functionalities and business opportunities through the integration of different chips, technologies and materials into a single system.

This symposium will discuss the importance of heterogeneous integration and its potential for creating more industry and business value. It also aims to cultivate human resources for heterogeneous integration, further strengthening the Dutch ecosystem.

Join us to explore the exciting opportunities that heterogenous system integration can offer for the Dutch ecosystem and beyond, and to be part of the conversation on driving the EU Chip Act ambitions.

ME colloquium

A Classical Electromagnetic Model for Thermal Emission from Ohmic Media

Andrea Neto

For seventy years  Rytov’s currents have been the tool to introduce Plank’s quantum hypothesis in modern radiometry. However, these currents are affected by the important unjustified assumption of being uncorrelated among each other for any distance different from zero. At a close look, the demonstrations provided by Rytov, or by Landau around the same time, are less than water proof. Here, resorting to a rigorous Electromagnetic analysis we propose an expansion for the electromagnetic fields in homogeneous media in terms of orthogonal eigen-vectors of Maxwell’s equations. The estimation of the elecromagnetic energy associated to each of the eigen modes used in the field expansion is then obtained by introducing Johnson like thermal sources. The observation of the mutual coupling between the proposed eigen-modes reveals that only a few of the modes possible should be retained as independent. This information provides the EM energy thermally generated per unit of volume. Incidentally, a high frequency cut off in thermal energy is found to be dependent from the conductivity and the related scattering time, rather than Planck’s law.

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ME colloquium

Extreme III-V’s and Wide bandgap Semiconductors: Hall Sensors and Photoconductive Switches

Karen Dowling

Through my research career, I have worked with various wide bandgap and III-V materials to create sensors and opto-electronic power devices. High electron mobility is desirable for high performing, high precision sensors and low on-resistance in power devices. In this talk, I will present two concepts that leverage unique device operation regimes. First, I will highlight my previous work on GaN 2DEG Hall-effect magnetometers at Stanford University. Here, the 2DEG heterostructure enables high mobility which corresponds to higher sensitivity, operation as high as 600C, and lower offset compared to state-of-the-art silicon devices. Next, I will highlight my creation of the first pulse compression photoconductive semiconductor switch (PCPS), a GaAs based opto-electronic device which leverages electric fields beyond saturation in materials that showcase negative differential mobility (NDM). This unique device operation regime is promising for high voltage, sub-ns pulse generation for RF and power device drivers. Finally, I will conclude with my new projects in the pipeline at TU Delft: GaN current sensing and single-device 3D Hall effect sensors, and my future directions into ultra-wide bandgap materials.

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Guest lecture Gregor Lenz (SynSense)

Training robust computer vision models for interference on neuromorphic hardware

Gregor Lenz

Event cameras output changes in illumination asynchronously rather than frames at a certain interval. For computer vision tasks, this data can be processed efficiently using spiking neural networks, which promise very-low-power applications. To harness the potential of such models, we have to execute them on specialised neuromorphic hardware. In this talk we look into the data, training and deployment stages that are related to SynSense's Speck chip and the challenges that arise in each of those.

Online Zoom Link to webinar:

Any questions? Please contact the organizers:

Fabrizio Ottati:
Charlotte Frenkel:

PhD Thesis Defence

Yannick Hopf - PhD Defence

Yannick Hopf

Dear Colleagues and Friends,


It is my pleasure to invite you to the defense of my PhD entitled:

Integrated Circuits for 3D High-Frame-Rate Intracardiac Echocardiography Probes


The event will take place in the Senaatszaal/Aula on Friday, 3rd March 2023 and the schedule is as follows:

  • 09:30 – Layman’s Talk
  • 10:00 – Defense
  • 11:30 – Reception


A link for online participation will be shared once provided by the Graduate School.

The thesis can be accessed via:


While this marks the end of my PhD project at TU Delft, I will still be around as a postdoc until mid April.

So while I would already like to thank you for all the support and good times, this is not a farewell yet and I’m looking forward to my remaining time in the team!


Best regards,


Additional information ...

Signal Processing Systems Seminar

Community Detection in Multilayer Networks: Algorithms and Applications

Prof. Dr. Selin Aviyente
Dept of ECE, Michigan State University

Modern data analysis and processing tasks typically involve large sets of structured data, where the structure carries critical information about the nature of the data.  Typically, graphs are used as mathematical tools to describe the structure of such data. Traditional network models employ simple graphs where the nodes are connected to each other by a single, static edge.  However, in many contemporary applications, this relatively simple structure cannot capture the diverse nature of the networks, e.g., multiple types of entities and interactions between them. Multilayer networks (MLNs) allow one to represent the interactions between a pair of nodes through multiple types of links. MLNs can further be categorized based on the homegeneity of the nodes and complexity of topological structure as: i) multiplex networks where each layer has the same set of entities of the same type and inter-layer edges are not shown as they are implicit; ii) heterogenous multilayer networks where the set and types of entities may be different for each layer and the relationships of entities across layers are shown using explicit inter-layer edges. A core task in the complexity reduction of these high-dimensional networks is community detection. In this talk, a joint nonnegative matrix factorization approach is proposed to detect the community structure in both multiplex and multilayer networks. The proposed approach considers the heterogeneity of layers and formulates community detection as a regularized optimization problem. The proposed approach is evaluated for both social networks and a fully connected multi-frequency brain network model.

Selin Aviyente received her B.S. degree with high honors in Electrical and Electronics engineering from Bogazici University, Istanbul. She received her M.S. and Ph.D. degrees, both in Electrical Engineering: Systems, from the University of Michigan, Ann Arbor. She joined the Department of Electrical and Computer Engineering at Michigan State University in 2002, where she is currently a Professor and Associate Chair for Undergraduate Studies. Her research focuses on statistical and nonstationary signal processing, higher-order data representations and network science with applications to neuronal signals. She has authored more than 150 peer-reviewed journal and conference papers. She is the recipient of a 2005 Withrow Teaching Excellence Award, a 2008 NSF CAREER Award and 2021 Withrow Excellence in Diversity Award. She is currently serving as the chair of IEEE Signal Processing Society Bioimaging and Signal Processing Technical Committee, on the Steering Committees of IEEE SPS Data Science Initiative and IEEE BRAIN. She has served as an Associate Editor and Senior Area Editor for IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, IEEE Open Journal of Signal Processing and Digital Signal Processing.

MSc ME Thesis Presentation

Two-photon polymerization-based 3D-multi-electrode arrays for electrical monitoring of neuronal cells

Thomas Michalica


3D-multi-electrode arrays (3D-MEAs) are needed to overcome the limitations of 2D-multi-electrode arrays (2D-MEAs) and enable the electrical characterisation of 3D neuronal cultures in in-vitro brain models, advancing the understanding of neurological disorders and paving the way to personalized medicine. The aim of this thesis was to overcome some of the limitations of current 3D-MEA devices and develop structures approaching the stiffness of the brain microenvironment, by using materials softer than conventional Silicon.

A polymeric 3D-MEA was designed and developed by means of an innovative combination of two-photon polymerisation (2PP), a 3D printing technology with sub-micrometer resolution, and standard wafer-level microfabrication methods from the semiconductor industry. Two novel fabrication protocols were developed, the first being a combination of 2PP with high-aspect ratio photolithography, which, though feasible, proved to require an inconveniently laborious process flow. The second fabrication process employed instead 2PP to fabricate the polymeric structures, pattern the microelectrodes, and provide electrical insulation. The 2PP-based process flow was ultimately preferred due to its potential for fabrication of structures of higher aspect ratio and geometrical  complexity for 3D-MEA, extending their measurement resolution. Furthermore, a wafer-level alignment routine was developed with an alignment repeatability of 2PP structures of ±5 µm, which enabled the multistep 2PP fabrication process. A novel maskless photolithography via 2PP process was also developed to pattern thin films over slanted surfaces, utilizing photoresist and glycerol-based immersion optics.

The resulting 3D-MEA consisted of 15 printed polymeric pyramids featuring a total of 60 gold microelectrodes. The electrical insulation of the traces was partially successful, and will require further process development. The results demonstrate the feasibility of merging, for the first time, the 2PP process with standard wafer-level microfabrication techniques, specifically for the fabrication of a 3D-MEA for in-vitro studies of iPSC neuronal cultures.

The 2PP-based solutions provided in this thesis show a promising pathway for the development of more complex and biomimetic 3D-MEAs. More generally, the developed wafer-level alignment routine and maskless photolithography via 2PP process for high-aspect ratio structures contribute to advance the field of microfabrication, and may enable the development of other types of innovative microdevices.

ME colloquium

What is cooking under the Tellegen lab?

Leon Abelmann

In nature atoms spontaneously grow into crystals, water molecules effortless assemble into snowflakes. However, when we build a car or a microprocessor, we have to put painstaking effort into getting the parts in the right places. Wouldn't it be possible just to provide the parts, and let Nature do the rest? This dream of self-assembly has been intriguing scientists for decades. 

We have been contributing to the dream with magnetically driven self-assembly. We have built a reactor in which we can study magnetically self-assembly in real time using millimetre sized magnets inside 3D-printed shells, we have shown that this system obeys basic thermodynamic laws, and we have grown the first three-dimensional crystals. The experiments are inexpensive and easy to design. Yet the data is very rich and taught us a lot on thermodynamics and self-assembly.

Additional information ...

PhD Thesis Defence

Pressure-assisted Cu Sintering for SiC Die-attachment Application

Xu Liu

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Woman + in Engineering

Woman + in Engineering

Dr. Rard Leeuw de (ASML), Ilke Ercan, Bahareh Abdi

Dr. Rard de Leeuw (vice president ASML) will talk about the importance and impact of diversity, equity and inclusion initiatives at ASML and Ilke and Bahare will inform you on the progress of W+IE’s progress.

Dr. Rard de Leeuw is vice president of ASML.
lke Ercan en Bahare Abdi are the initiators of Woman + in EE

IEEE Autonomous Systems Initiative Webinar

Active inference in cognitive neuroscience

Prof. Karl Friston
University College London

In the cognitive neurosciences and machine learning, we have formal ways of understanding and characterising perception and decision-making; however, the approaches appear very different: current formulations of perceptual synthesis call on theories like predictive coding and Bayesian brain hypothesis. Conversely, formulations of decision-making and choice behaviour often appeal to reinforcement learning and the Bellman optimality principle. On the one hand, the brain seems to be in the game of optimising beliefs about how its sensations are caused; while, on the other hand, our choices and decisions appear to be governed by value functions and reward. Are these formulations irreconcilable, or is there some underlying imperative that renders perceptual inference and decision-making two sides of the same coin.

Speaker biography

Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These contributions were motivated by schizophrenia research and theoretical studies of value-learning, formulated as the dysconnection hypothesis of schizophrenia. Mathematical contributions include variational Laplacian procedures and generalized filtering for hierarchical Bayesian model inversion. Friston currently works on models of functional integration in the human brain and the principles that underlie neuronal interactions. His main contribution to theoretical neurobiology is a free-energy principle for action and perception (active inference).

Friston received the first Young Investigators Award in Human Brain Mapping (1996) and was elected a Fellow of the Academy of Medical Sciences (1999). In 2000 he was President of the international Organization of Human Brain Mapping. In 2003 he was awarded the Minerva Golden Brain Award and was elected a Fellow of the Royal Society in 2006. In 2008 he received a Medal, College de France and an Honorary Doctorate from the University of York in 2011. He became of Fellow of the Royal Society of Biology in 2012, received the Weldon Memorial prize and Medal in 2013 for contributions to mathematical biology and was elected as a member of EMBO (excellence in the life sciences) in 2014 and the Academia Europaea in (2015). He was the 2016 recipient of the Charles Branch Award for unparalleled breakthroughs in Brain Research and the Glass Brain Award, a lifetime achievement award in the field of human brain mapping. He holds Honorary Doctorates from the University of Zurich and Radboud University.

Zoom link

Please register for the webinar, here.

PhD Thesis Defence

Integrated silicon carbide sun position sensor system-on-chip for space applications

Joost Romijn

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Tensor Decompositions in Functional Neuroimaging

Borbála Hunyadi

Brain data are inherently large scale, multidimensional, and noisy. Indeed, advances in imaging and sensor technology allow recordings of ever-increasing spatio-temporal resolution. Multidimensional, as time series data are recorded at multiple locations (electrodes, voxels), from multiple subjects, under various conditions. Finally, the data are noisy: the recorded observations are a mixture of ongoing brain activity, physiological, and non-physiological noise sources. Tensors (higher order arrays) are the natural representations of such multidimensional data. Tensor decompositions, in general, aim to write a large and high-order tensor in terms of the product and summation of several smaller and low-rank tensors (including vectors and matrices). A tensor decomposition with a well-chosen number of terms and ranks can approximate the original data tensor using much fewer entries; even to capture the underlying sources separately in its individual components. This talk will first give an introduction to multilinear algebra and tensor decompositions, discuss current challenges in large-scale brain data analysis, and finally highlight some successful applications of tensor decompositions in EEG and functional ultrasound (fUS) data processing.


Follow this link.

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IEEE SPS Autonomous Systems Initiative

Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms

Dr. Nikil Dutt
University of California, Irvine

Self-awareness and self-organization have a long history in biology, psychology, medicine, engineering and (more recently) computing. In the past decade this has inspired new self-aware/self-organizing strategies for building resilient computing platforms that can adapt to the (often conflicting) challenges of resiliency, energy, heat, cost, performance, security, etc. in the face of highly dynamic operational behaviors and environmental conditions. I will begin by outlining a computational self-awareness paradigm that enables adaptivity and which supports system resilience. Computational self-awareness is achieved through introspection (i.e., modeling and observing its own internal and external behaviors) combined with both reflexive and reflective adaptations via cross-layer physical and virtual sensing and actuations applied across multiple layers of the hardware/software system stack.


Next I will outline strategies for combining computational self-awareness with self-organization for life-cycle management of dependable distributed computing platforms.   Our ongoing NSF/DFG Information Processing Factory (IPF) project applies principles inspired by factory management that combine self-awareness and self-organization for continuous operation and optimization of highly-integrated-but-distributed embedded computing platforms.  While each IPF computational component exhibits autonomy through self-awareness, collections of IPF entities can self-organize; the resulting emergent behavior must be controlled to ensure guaranteed service even under strict safety and availability requirements. I will outline two use cases: i) End-to-end computational pipelines for a single autonomous IPF component, and ii) Truck platooning as an exemplar for distributed-but-coupled IPF autonomous systems. The talk will conclude with the opportunities and challenges arising from adopting computational self-awareness and self-organization for making complex computational systems more resilient and self-adaptive.

Zoom link: see below.

Additional information ...

MSc ME Thesis Presentation

Vacuum sealing of MEMS cavities using nanoparticle sintering

Mustafeez Bashir Shah

MSc ME Thesis Presentation

A New Logarithmic Quantization Technique and Corresponding Processing Element Design for CNN Accelerators

Longxing Jiang

Convolutional Neural Networks (CNN) have become a popular solution for computer vision problems. However, due to the high data volumes and intensive computation involved in CNNs, deploying CNNs on low-power hardware systems is still challenging. The power consumption of CNNs can be prohibitive in the most common implementation platforms: CPUs and GPUs. Therefore, hardware accelerators that can exploit CNN parallelism and methods to reduce the computation burden or memory requirements are still hot research topics. Quantization is one of these methods.

One suitable quantization strategy for low-power deployments is logarithmic quantization.

Logarithmic quantization for Convolutional Neural Networks (CNN): a) fits well typical weights and activation distributions, and b) allows the replacement of the multiplication operation by a shift operation that can be implemented with fewer hardware resources. In this thesis, a new quantization method named Jumping Log Quantization (JLQ) is proposed. The key idea of JLQ is to extend the quantization range, by adding a coefficient parameter ”s” in the power of two exponents (2sx+i ).

This quantization strategy skips some values from the standard logarithmic quantization. In addition, a small hardware-friendly optimization called weight de-zeroing is proposed in this work. Zero-valued weights that cannot be performed by a single shift operation are all replaced with logarithmic weights to reduce hardware resources with little accuracy loss.

To implement the Multiply-And-Accumulate (MAC) operation (needed to compute convolutions) when the weights are JLQ-ed and dezeroed, a new Processing Element (PE) have been developed. This new PE uses a modified barrel shifter that can efficiently avoid the skipped values.

Resource utilization, area, and power consumption of the new PE standing alone and in a systolic array prototype are reported. The results show that JLQ performs better than other state-of-the-art logarithmic quantization methods when the bit width of the operands becomes very small.

MSc ME Thesis Presentation

Towards a readout for capacitive displacement sensor in a an engineered heart tissue device

Filippo Pfaiffer

MSc ME Thesis Presentation

Off-chip Self Timed SNN Custom Digital Interconnect System

Yichen Yang

To support the spike propagates between neurons, neuromorphic computing systems always require a high-speed communication link.

Meanwhile, spiking neural networks are event-driven so that the communication links normally exclude the clock signal and related blocks.

This thesis aims to develop a self-timed off-chip interconnect system with ring topology that supports multi-point communication in neuromorphic computing systems. This interconnect system is implemented in high-level modeling with SystemC and involves the burstmode two-wire protocol in point-to-point communication. In order to ensure the flexibility of the system, the distributed control system is involved. Further, the system can be configured with different numbers of chiplet to fulfill various spiking neural network structures.

We also explore optimization methods, which is a bi-directional ring topology achieving the growth of throughput. Based on evaluation and simulation results, the interconnect system can achieve 4.57Gbps with the specific application scenario.

Additional information ...

MSc CE Thesis Presentation

Mapping of Spiking Neural Network Architecture using VPR

Jinyun Long

As the new generation of neural networks, Spiking Neural Network architectures executes on specialized Neuromorphic devices. The mapping of Spiking Neural Network architectures affects the power consumption and performance of the system. The target platform of the thesis is a hardware platform with Neuromorphic Arrays with columns for neural signal processing.

The explorations for the mapping methods are based on VPR, an open-source academic CAD tool for FPGA architecture exploration.

The packing of VPR is used for mapping neurons to Neuromorphic Arrays. VPR includes two levels of mapping: pins and neurons.

An evaluation of the mapping methods is established. Based on the evaluation, the optimized mapping solution is generated. Modifications are made in VPR to adapt to SNN architectures. An ActivityCriticality input file is added to the VPR flow for the optimized mapping solution.

Additional information ...

ME colloquium

Piezoelectric Microsystems for a New Generation of Sensors

Tomás Manzaneque

The developments of the last decades in sensor technologies have greatly impacted our lives and promise to further revolutionize society by bringing the Internet of Things. Microsystem technologies constitute one of the main innovation drivers in sensing. In this talk, I will summarize my research efforts focused on building novel piezoelectric microsystems to tackle three aspects. The first aspect concerns studying fundamental principles of microsystems and materials, for sensing new magnitudes or achieving superior sensing performance. Second, I focus on enabling electrical readout schemes for highly sensitive microsystems, aiming for compact and inexpensive sensors. The third important aspect is that of improving the autonomy of sensors to be deployed in settings not accessible before. By tackling these three goals, I envision piezoelectric microsystems will realize compact and high-resolution mass sensors that will enable future particle sensors for air quality monitoring.

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MSc ME Thesis Presentation

Temperature sensor based on 4H Silicon Carbide Bipolar Junction Transistor with Measurement Range up to 400 Degree Celsius

Michaël Chengshang

MSc ME Thesis Presentation

Design of a membrane for a lung-on-a-chip device

Sophie den Boer

MSc ME Thesis Presentation

A Low-Noise Transimpedance Amplifier for Ultrasound Imaging with 40dB Continuous-Time Gain Compensation

Qian Wang

This work presents a low-noise amplifier (LNA) for miniature 3D ultrasound probes. Time gain compensation (TGC) is required to provide continuously variable gain and compensate for the attenuated echo signal, resulting in decreased output dynamic range (DR). As TGC is embedded in the LNA, a power-hungry LNA is no longer needed to handle the full dynamic range of attenuated echo signal. Compared to prior art where TGC is applied after the LNA, this structure reduce die area and power consumption greatly.

The LNA with built-in TGC functionality is comprised of a transimpedance amplifier (TIA) with exponentially increasing feedback resistive network. Since a transducer with a relatively high impedance is targeted, a TIA is utilized to interface with the tranducer and sense the signal current. TGC is implemented in a continuous fashion by tunable resistors so as to alleviate imaging artifacts associated with gain switching moments. The resistive feedback network is achieved by triode transistors with exponentially decreasing gate voltages. Three parallel branches of triode transistors are varied simultaneously to obtain 40dB gain range. Each branch consists of two back-to-back triodes to mitigate non-linearity related to the body effect.

The variable-gain loop amplifier employing a current-reuse topology enables constant closed-loop bandwidth in an energy-efficient way. The first stage is a fixed-gain stage with dynamic biasing to save power at the lowest gain setting. The next two stages are variable-gain stages with variable resistive loads. The load resistor is implemented in the same fashion as the TIA’s feedback resistor to achieve intrinsic gain matching. The last stage is a buffer to provide low output impedance for stability.

The LNA has been designed in 0.18 μm CMOS technology and occupies an estimated die area of 0.0339 mm2. The effective gain range is 40 dB with ±1 dB gain error. The LNA’s noise floor at the highest gain is below 1.15 pA/rt-Hz and its harmonic distortion is better than -40 dB. During 100 μs receive period, the total power consumption is 6mW from a ±0.9 V supply. The LNA featuring small area and high power efficiency is a promising circuit for miniature 3D ultrasound probes.

Microelectronics Colloquium

Advances in Low-Field MRI Hardware Design and Data Processing

Rob Remis

In this talk we discuss several recent advances in low-field Magnetic Resonance Imaging (MRI). We focus on magnet and gradient coil design for a low-field MR scanner in which the strong background field is generated by permanent magnets (Halbach systems). These design problems are treated as inverse source problems, which are severely ill-posed in general. How to obtain approximate (regularized) solutions to these problems is discussed and the practical implementation of these solutions is addressed as well. Several processing algorithms that can handle compressed noisy MR input data are also presented and we illustrate the performance of these algorithms on simulated and measured low-field MR data.

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Microelectronics Colloquium

Sparsity-constrained Linear Dynamical Systems

Geethu Joseph

Abstract: At the intersection of control engineering and signal processing sits the upcoming field of sparse control and state estimation of linear dynamical systems. It deals with linear dynamical systems with control inputs having a few nonzero entries compared to their dimensions. Constraining the inputs to be sparse is often necessary to select a small subset of the available sensors or actuators at each time instant due to energy, bandwidth, or physical network constraints. Bringing together research from classical control theory and compressed sensing, the talk presents a comprehensive overview and critical insights into the conceptual foundations of sparsity-constrained systems, including the formulation, theory, and algorithms. We look at the concrete example of a budget-constrained external agent controlling the opinion of a social network.

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PhD Thesis Defence

Advanced Measurement Techniques and Circuits for Array-Based Transit-Time Ultrasonic Flow Meters

Douwe van Willigen

This thesis describes the design, prototyping and evaluation of matrix-based clamp-on ultrasonic flow meters. Several new measurement techniques are presented as well as an Application-Specific Integrated Circuit (ASIC) designed for accurate measurement of flow velocity with matrix transducers.

The influence of circuit topologies on the zero-flow performance of ultrasonic flow meters has been analyzed and an algorithm is presented to reduce the offset. With a linear transducer array, flow measurements have been performed via two different acoustic paths, demonstrating the ability to accurately measure flow with array transducers through a stainless-steel pipe wall. In order to improve signal quality, an ASIC has been designed that is able to drive and read-out 96 piezo transducer elements. The ASIC has been characterized electrically and flow measurements have been performed in combination with the linear transducer arrays.

Several new techniques, enabled using transducer arrays, have also been explored. By tapering the amplitude of the transmit signals, spurious waves can be suppressed. An auto-calibration technique has been developed that uses additional acoustic measurements to estimate the diameter of the pipe and the speed of sound in the pipe wall and liquid. Finally, a simulation study has been performed to explore the possibility of exploiting the beam-steering capabilities of transducer arrays to measure flow velocity profiles by using measurements obtained via multiple acoustic paths.


Collegerama (live stream of the defence):

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PhD Thesis Defence

Integrated Transceiver Circuits for Catheter-based Ultrasound Probes and Wearable Ultrasound Patches

Mingliang Tan

Promotors: Michiel Pertijs and Ronald Dekker

Thesis: link

Collegerama link (live stream of the defence): link

Abstract: This thesis describes the design, prototyping, and experimental evaluation of transceiver ASICs (application-specific integrated circuits) for catheter-based ultrasound probes and wearable ultrasound patches. Various circuit techniques are proposed to address requirements and implementation bottlenecks in these applications. Prototype chips are presented to demonstrate the effectiveness of these techniques. To reduce the loading effect of micro-coaxial cables in an ICE probe based on capacitive micro-machined ultrasound transducers (CMUTs), an ASIC prototype including element-level high-voltage pulses and low-noise trans-impedance amplifiers has been implemented. Besides reducing the loading effect from micro-coaxial cables, ASICs play an important role in achieving cable-count reduction, which is crucial for 3-D imaging catheters, such as forward-looking IVUS probes. Circuit techniques are proposed to implement a prototype ASIC which only requires 4 cables to interface with a 2D piezoelectric transducer array. Additionally, to address the challenges in interface electronics for wearable ultrasound patches, a prototype ASIC is presented that contains 64 reconfigurable transceiver channels that can interface with different transducer elements by employing channel-parallelizing techniques.

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Special EI Colloquium

Piero Tortoli, Michael Kraft

Profs. Piero Tortoli and Michael Kraft

Real-time High-Frame Rate imaging: Novel Methods and Applications

Prof. Piero Tortoli
Microelectronics Systems Design Laboratory
University of Florence, Italy

Medical imaging is increasingly based on High-Frame-Rate (HFR) methods, which are in principle capable of producing one frame (or even one data volume) per transmission event. However, achieving such a goal in real-time implicitly involves the transfer and processing of huge amount of data at high rates, and this can be done only through an appropriate experimental setup.

In this talk, the main characteristics of the hardware-based open scanner ULA-OP 256 are briefly reviewed, and its recent advancements, such as the data transfer acceleration obtained through an architectural change, and the possible expansion toward the control of an unlimited number of probe elements, are reported in detail. The “virtual real-time” modality will also be described as ideal to obtain the best performance from specific HFR imaging modalities. Finally, the combination of ULA-OP 256 with properly designed sparse 2-D arrays will be shown suitable for the investigation of full volumes. The talk will be concluded with the presentation of experimental results in a few sample applications, including multi-plane imaging, HFR CFM and HFR vector Doppler.


Micro- and Nanosystems at ESAT, KU Leuven

Prof. Michael Kraft
ESAT, Micro- and Nano-Systems
KU Leuven, Belgium

This seminar will give an brief overview of the activities in micro- and nanosystems at the Electrical Engineering Department (ESAT) of KU Leuven. It will describe the available infrastructure and give a short overview of current research activities in the division Micro- and Nanosystems (MNS), which currently comprises 24 PhD students, 4 postdoctoral researchers and 2 technicians.

A selection of current active projects and recent highlights will be presented, including work on:

  • Coupled resonators for mass sensing applications
  • Piezoelectric ultrasound technology arrays for medical imaging and underwater communication
  • Micromachined probes for neuro recording and stimulation
  • Multi-parameter sensing chip for bioreactor condition monitoring
  • Genetic Algorithm for the design of MEMS devices (accelerometers and microgrippers)

Finally, the newly founded Leuven Institute for Micro- and Nano Integration (LIMNI) will be briefly introduced.

Note: This Colloquium precedes the PhD defence of Mingliang Tan, which will take place in the Aula on the same day at 12:00 (layman’s talk), 12:30-13:30 (defence). More information can be found here.

MSc ME Thesis Presentation

A Monolithic Photoplethysmogram (PPG) Sensor

Jixuan Mou
Silicon Integrated

A photoplethysmogram (PPG) is an important optically-obtained bio-sginal that enables convenient daily monitoring of heart rate and Oxygen saturation (SpO2). Most state-of-the-art PPG sensing systems require an off-chip photodiode, and the photodiode’s output parasitic capacitance limits the power-noise trade offs. The objective of this project is to implement a monolithic low-power PPG sensor for heart-rate detection. A novel sensing system has been developed, which has arrays of photogate imagers as front-ends and a compact successive approximation register analog-to-digital converter serving as the readout circuit. The readout power consumption is 0.64 uW at a sampling rate of 40 Hz. The minimum required LED power consumption is predicted to be 3 uW according to the post-layout simulation. The die area is 6.05 mm2 including the pads. Compared with prior art, the readout power consumption reduces by four times and the die area reduces by 3 times. The chip was submitted for fabrication in June in TSMC180nm.

MSc SS Thesis Presentation

Improving the Estimation of Epicardial Activation Times Using Spatial Information

William Hunter

Atrial fibrillation is a common cardiovascular disease, affecting the regular beating of the heart through chaotic contraction of the heart's upper chambers. On its own, the condition—increasingly prevalent among the elderly—is not life threatening, but it leads to an increased risk of stroke and heart failure. As of yet, there is no consensus on the physiological mechanisms responsible for initiating and sustaining atrial fibrillation. A more detailed view of cardiac activity would improve understanding of the disease, making earlier diagnosis possible and improving options for treatment. 

The contraction of the cardiac muscles is governed by electrical signals propagating through the tissue. Cardiac activity can be monitored with a high spatial resolution by measuring the electrical potential directly on the epicardium of the heart during open-heart surgery, using an array of closely spaced electrodes. From these electrograms, estimating the time of local activation of the cardiac tissue underneath each electrode provides a quantitative way of mapping the mechanisms of atrial fibrillation. Various methods exist to estimate the activation times, but the complex signals that are typical of atrial fibrillation make it difficult to obtain accurate results. This thesis proposes combining two existing methods for estimating the local activation times. Based on a model of the electrogram as a spatial convolution of local transmembrane currents, an inverse problem is formulated and solved, resulting in a less opaque view of the cardiac activity at the electrode locations by attenuating distant disturbances and emphasizing local activity. The deconvolution output is fed to the second step, where cross-correlating certain pairs of signals gives an estimate for the mutual time delay in local activation. A graph representation of the electrode array is used to define neighbor order and decide which signal pairs are correlated. The set of pairwise time delays this produces is then converted to an estimate for the local activation times, using a least-squares estimator. 

The proposed method is evaluated using different simulated cardiac settings. In a setting with one stimulation source, earlier results of the deconvolution and cross-correlation methods are confirmed, and the proposed method is seen to produce a slightly lower mean error than reference methods. In the higher-complexity triple-source setting, the latter effect is again visible. Reinforced by the performance of the different methods in increasingly noisy settings, the main merits of the proposed method for the estimation of local activation times can be said to be found in the form of increased consistency, not significantly improving on the accuracy of existing methods.

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MSc SS Thesis Presentation

Cooperative Localization of Unmanned Aerial Vehicles using ADS-B

Xuzhou YANG

As unmanned aerial systems (UAS) turn into a full-fledged industry, the sky will be much more crowded in the future. Large-scale UAV applications make reliable UAV navigation a pressing need. Traditionally, global navigation satellite system (GNSS) is extensively used as the primary positioning, navigation, and timing (PNT) service. However, GNSS is vulnerable to intentional radio interference such as spoofing, jamming, and repeating. Hence, alternative PNT (APNT) attracted many researchers' attention. 

In this thesis, instead of GNSS signals, ADS-B signals from piloted aircraft are leveraged for UAV navigation. We propose a cooperative navigation strategy for multiple UAVs in GNSS-denied environments. It consists of: 1) a system-level, leader-follower cooperative strategy; 2) a sensor fusion algorithm for individual UAV navigation based on the extended Kalman filter. Furthermore, the effects of asynchronous clocks are studied and a joint relative positioning and synchronization algorithm is applied to tackle this problem. 

Finally, Monte Carlo experiments in a multi-UAV scene are performed to verify the proposed algorithms. The results show that the proposed algorithms achieve a performance comparable to civilian GNSS on the selected data set and under the system assumptions we made. Moreover, the proposed cooperative navigation framework only needs one ground station of limited service capacity as external aid. Compared with large-scale, specialized terrestrial APNT service networks, our proposed framework is more flexible and the system can be deployed in areas without infrastructure.

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MSc SS Thesis Presentation

Robust Formation Control against Observation Losses

Zhonggang Li

Distributed formation control has received increasing attention in multiagent systems. Maintaining certain geometry in space is advantageous in many applications such as space interferometry and underwater sensing. At present, there is a variety of distributed solutions for agents to converge to desired formations and track a series of prescribed maneuvers. They typically rely on the relative kinematics e.g., relative positions of the neighboring agents as state observations for the local controller. In harsh working environments, the acquisition of the relative kinematics is challenged and observation losses might occur, which can be detrimental to the optimality of formation.   

In this work, observation losses in noisy environments are addressed under a distributed formation control framework. Three types of solutions are proposed to enhance the robustness which is evaluated through the improvements of tracking error, convergence speed, and smoothness of trajectories in both random and permanent loss settings. Firstly, a relative localization technique is proposed using formation itself as a spatial constraint. Secondly, a dynamic model is established for the agents entailed by a Kalman filter-based solution. Finally, a fusion of the previous two types is inspired and it exhibits superior performance than both aforementioned types individually. 

  This work not only provides means of relative localization without additional sensor data but also shares insights into coping with random or permanent graph changes for stress-based formation control systems. This could potentially lead to the exploration of formation control with subgraphs or energy-efficient sensing as future directions.

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MSc SS Thesis Presentation

Distributed Gaussian Process for Multi-agent Systems

Peiyuan Zhai

This work is focused on environmental monitoring and learning of unknown field by Gaussian Process (GP) in Multi-agent Systems (MAS). The two main problems are how to develop fully-distributed and robust algorithm to (1). optimize GP hyperparameters, and (2). aggregate GP predictions from agents.  

The state-of-the-art distributed GP hyperparameter optimization algorithm is proximal alternated direction method of multipliers (pxADMM), which requires a center station in MAS. Based on pxADMM, two fully-distributed algorithms are proposed so that the center station is no longer needed. Asynchronous behavior is also introduced into the proposed algorithms to deal with heterogeneous processing time of agents.

  Current aggregation methods are classified based on whether datasets are independent. Under independence assumption, PoE and BCM families of methods are distributed by applying discrete time consensus filter (DTCF), which is proposed to be replaced by primal-dual method of multiplier (PDMM) for faster convergence. Without independence assumption, the Nested Pointwise Aggregation of Experts (NPAE) can be distributed by NPAE-JOR in complete graph with high flooding overhead. We propose fully-distributed CON-NPAE in connected graph to eliminate flooding overhead. 

Simulation results show that the proposed hyperparameter optimization algorithms are fully-distributed at a cost of 2 to 4.5 times more iterations compared to pxADMM. The fully-dsitributed PoE and BCM based methods are accelerated, and the fully-distributed CON-NPAE makes comparable aggregations as NPAE without flooding overhead. Future work will be focused on the theoretical convergence analysis of fully-distributed pxADMM, the effect of network structure on CON-NPAE and new type of distributed NPAE based on inducing points. 

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MSc SS Thesis Presentation

Detect and Avoid for Autonomous Agents in Cluttered Environments

Mosab Diab

Autonomous agents are the future of many services and industries such as delivery systems, surveillance and monitoring, and search and rescue missions. An important aspect in an autonomous agent is the navigation system it uses to traverse the environment. Not much emphasis has been paid in the past on autonomous agent navigation in cluttered environments. Cluttered and unknown environments such as forests and subaquatic environments need to have autonomous navigation systems developed just for them due to their uncertain and changing nature.

  Path planning algorithms are used for the navigation of an autonomous agent in an environment. The agent needs to reach a target location while avoiding the obstacles it detects along the path. Such a system is called a Detect and Avoid (DAA) system and there are different implementations for it of which some are explored in this thesis.  

The Artificial Potential Fields method or APF for short is a method for mobile agent navigation which is based on generating an attractive force on the agent from the target and a repulsive force from the obstacles. This leads to the agent reaching the target while avoiding the obstacles along the way. The Classical APF (CAPF) method works for structured environments well but not for cluttered environments. The CAPF method can be replaced with a modified version where the agent is surrounded by a set of points (called bacteria points) around its current location and the agent moves by selecting a bacteria point as a future location. This method is named the Bacteria APF (BAPF) method. This selection happens through combinatorial optimization based on the potential value of each bacteria point.  

In this thesis, we propose two distinct contributions to the BAPF method. The first one being the use of an adaptive parameter in the repulsive cost function which is determined through a brute-force search. The second addition is a branching cost function that changes the value of the repulsive potential based on predefined perimeters around each obstacle. We show through simulations on densely and lightly cluttered environments that this Improved BAPF (IBAPF) method significantly improves the performance of the system in terms of the convergence to the target by almost 200% and reduced the time it takes to converge by around 25% as well as maintain the safety of the navigation route by keeping the average distance from obstacles around the same value.

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Invited talk

What comes after digital? The Rain roadmap for neuromorphic artificial intelligence

Gordon Hirsch Wilson, CEO, Rain co-founder of Neuromorphics

The deep learning revolution that began in 2012 was sparked by the integration of two preexisting technologies: the back propagation algorithm for training neural networks, and the GPU architecture for scaling them up to large sizes.  For a decade, the roadmap defined by these two technologies has enabled immense progress in digital artificial intelligence.  Now, the costs associated with this approach make further progress impractical.  At Rain, we have focused on developing a new learning algorithm and scaling architecture for neuromorphic hardware.  The equilibrium propagation algorithm and the sparse neural array architecture form the backbone for a new roadmap of analog artificial intelligence.  In this talk, I will discuss our mission, our past 5 years of research and development, plans for partnerships, and the path forward as we scale our organization after closing Series A funding in January 2022.

Gordon Hirsch Wilson is the CEO and co-founder of Rain Neuromorphics.  Gordon studied mathematics and statistics at the University of Florida, where he met his co-founders, CTO Jack Kendall and Chief Scientific Advisor Juan Nino.  Gordon and Jack are unique among Silicon Valley semiconductor founders, in that they do not come from a background in the industry.  Founding Rain when they were both 25 years old, they seek to bring a fresh and interdisciplinary perspective to the chip industry. Gordon lives in the Castro district of San Francisco, California.

MSc SS Thesis Presentation

Image-Based Query Search Engine via Deep Learning

Yuanyuan Yao

Typically, people search images by text: users enter keywords and a search engine returns relevant results. However, this pattern has limitations. An obvious drawback is that when searching in one language, users may miss results labelled in other languages. Moreover, sometimes people know little about the object in the image and thus would not know what keywords could be used to search for more information. Driven by this use case with many applications, content-based image retrieval (CBIR) has recently been put under the spotlight, which aims to retrieve similar images in the database solely by the content of the query image without relying on textual information.

To achieve this objective, an essential part is that the search engine should be able to interpret images at a higher level instead of treating them simply as arrays of pixel values. In practice, this is done by extracting distinguishable features. Many effective algorithms have been proposed, from traditional handcrafted features to more recent deep learning methods. Good features may lead to good retrieval performance, but the problem is still not fully solved. To make the engine useful in real-world applications, retrieval efficiency is also an important factor to consider while has not received as much attention as feature extraction.

In this work, we focus on retrieval efficiency and provide a solution for real-time CBIR in million-scale databases. The feature vectors of database images are extracted and stored offline. During the online procedure, such feature vectors of query images are also extracted and then compared with database vectors, finding the nearest neighbours and returning the corresponding images as results. Since feature extraction only performs once for each query, the main limiting factor of retrieval efficiency in large-scale database is the time of finding nearest neighbours. Exact search has been shown to be far from adequate, and thus approximate nearest neighbour (ANN) search methods have been proposed, which mainly fall into two categories: compression-based and tree/graph-based. However, these two types of approaches are usually not discussed and compared together. Also, the possibility of combining them has not been fully studied. Our study (1) applies and compares methods in both categories, (2) reveals the gap betweentoy examples and real applications, and (3) explores how to get the best of both worlds. Moreover, a prototype of our image search engine with GUI is available on

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MSc SS Thesis Presentation

Gaussian Process enhanced Distributed Particle filtering

Rui Tang

In many applications of multi-agent networks, the physical systems consist of massive nonlinear and non-Gaussian elements. Hence, in the first decade of this century, intensive research on distributed particle filters (DPFs) has been conducted to address the distributed estimation problems. For distributed algorithms, communication overhead is an important metric in terms of engineering feasibility. In previous work, the approach to distributed particle filtering relies on a parameterization of the posterior proba-bility or likelihood function, to reduce communication requirements. However, as more and more effective resampling algorithms are proposed, the dependence of particle filter performance on particle set size is greatly reduced, so this thesis attempts to explore the possi-bility of DPFs based on direct particle exchange. In this thesis, the Gaussian process enhanced resampling algorithm is used. Meanwhile, several metaheuristic optimization algorithms (i.e., genetic algorithm and firefly algorithm) are further adapted to seek the global optimal particle set to improve the estimation performance. Furthermore, all algorithms are simulated in target tracking scenarios and are evaluated from three aspects: time, space, and communication complexity.

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IEEE Sensors Young Professionals June Webinar

Energy Autonomous Environmental Sensors

Anton Köck
Material Center Leoben, Austria

You are invited to the IEEE Young Professionals Engagement Series (YES) which is organized by the IEEE Sensors Council YP Committee. It is a pleasure to announce the next speaker in this webinar series.

Speaker:  Dr. Anton Köck, Key Researcher & head of the Sensor Solution Group, Materials Center Leoben, Austria

Date: June 30, 2022

Time13:00 Central European Time

RegistrationFree, but required. Register using the Google Form link mentioned below.

Google Form Link:

You will be sent the meeting link after you register:


Title: Energy Autonomous Environmental Sensors

Abstract: Nowadays ~90% of time is spent indoors; thus, air quality monitoring has become of increasing importance to check for potential indoor and outdoor pollutans, which have a negative impact on our health. For providing an area wide air quality monitoring, the optimum would be an IoT capable network of energy autonomous sensor systems which harvest and store the energy for daily operation. This presentation will mostly focus on air quality sensors, the operating principle and the state-of-the-art on the market. We will show our approach in optimizing chemical sensor devices by use of nanomaterials and how we integrate several devices to multi sensor system. Finally, we will discuss the requirements and challenges for energy autonomous sensor systems.

About the Speaker: Anton Köck studied Experimental Physics at the University of Innsbruck, Austria. After a Post Doc position at the Technical University Munich, he was head of the Optoelectronics research group at the Institute for Solid State Electronics, Vienna University of Technology, where he habilitated in the field of Optoelectronics in. He was a professor for Physics and Material Science at the Wiener Neustadt University for Applied Sciences. Next, he was Deputy Head of the business unit Nano Systems, Austrian Institute of Technology, in Vienna, where he established the research on gas sensors based on nanomaterials. Since 2013 he is Key Researcher at the Materials Center Leoben  and is head of the Sensor solution group. Anton Koeck has more than 230 publications and conference contributions and has been the General Conference Chair of the EUROSENSORS 2018 conference.

Seminar on Wide-bandgap semiconductor technology and industry

This seminar will highlight the state of the art of technology and industry of wide bandgap semiconductors (WBS), which are becoming the cornerstones of future power electronics, communication (5G and beyond) and optoelectronics.

WBS have not only many grand scientific challenges, but also vital economic and societal impact for today and the future. This seminar consists of presentations by global leading experts from both academia and industry, and a panel discussion with key stakeholders from Dutch semiconductor eco-system.

Location: Lecture room Chip (Building 36)

For more information: Program flyer

Register before the 10th of June:

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PhD Thesis Defence

Light dosage optimization in antifungal blue light therapies by experiments and modeling

Tianfeng Wang

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PhD Thesis Defence

Quasi-vertical gallium nitride diodes for power microwave applications

Yue Sun

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W(omen)+I(N)Engineering end of the year event

There will be a guest speaker from Qorvo Woman in engineering and our intergrity officer will guide you in playing dilemma games on social intergrity. It will be wrapped up by drinks and food.

Where: on campus, Pulse breakout
When: Friday June 24, 16.00-18.00

Pleas register via de QR code


TU Delft Women+ In Engineering

End of year event

W+IE (Women+ in Engineering) invites you to this end of year meeting where we can enjoy drinks and snacks together and learn from our guest speakers from Qorvo WiT and TU Delft Integrity Office. We'll also learn more about gender issues by playing the Dilemma game.


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PhD Thesis Defence

Multiband channel estimation for precise localization in wireless networks

Tarik Kazaz

Can we reach decimeter accuracy on wireless localization?

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PhD Thesis Defence

Modelling and analysis of atrial epicardial electrograms

Miao Sun

Atrial fibrillation (AF) is a frequently encountered cardiac arrhythmia characterized by rapid and irregular atrial activity, which increases the risk of strokes, heart failure and other heart-related complications. The mechanisms of AF are complicated. Although various mechanisms were proposed in previous research, the precise mechanisms of AF are not clear yet and the optimal therapy for AF patients are still under debated. A higher success rate of AF treatments requires a deeper understanding of the problemof AF and potentially a better screening of the patients.

In order to study AF, instead of using human body surface ECGs, we use the epicardial electrograms (EGMs) obtained directly from the epicardial sites of the human atria during open heart surgery. This data is measured using a high-resolution mapping array and exhibits irregular properties during AF. Although different studies have analyzed electrograms in time and frequency domain, there remain many open questions that require alternative and novel tools to investigate AF.

Experience in signal processing suggests that incorporating the spatial dimension into the time-frequency analysis on the multi-electrode electrograms may provide improved insights on the atrial activity. However, the electrophysiologcial models for describing spatial propagation are relatively complex and non-linear such that conventional signal processing methods are less suitable for a joint space, time, and frequency domain analysis. It is also difficult to use very detailed electrophysiologcial models to extract tissue parameters related to AF fromthe high-dimensional data.

In this dissertation, we propose a radically different approach to study and analyze the EGMs from a higher abstraction level and from different perspectives to get more understanding of the characteristics of AF. We also develop a simplified electrophysiological model that can capture the spatial structure of the data and propose an efficient method to estimate the tissue parameters, which are helpful to analyze the electropathology of the tissue, e.g., cell activation time or conductivity. 

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PhD Thesis Defence

Direction of Arrival estimation and Self-Calibration techniques using an array of Acoustic Vector Sensors

Krishnaprasad Nambur Ramamohan

The localization and characterization of sound have played a vital role in various ap­plications, ranging from noise control of machinery to battlefield awareness. Micro­phone arrays are commonly used to find sound sources, which implicitly inherits a se­ries of limitations. Alternatively, acoustic vector sensors (AVSs) have shown promising results in overcoming most of those limitations, specifically having a larger operation frequency while requiring a smaller number of sensor nodes. However, literature about this topic is still evolving and mainly focused on the theoretical aspects, disregarding most real-world limitations. This thesis extends the AVS arrays' theoretical framework for direction-of-arrival (DOA) estimation of far-field sources while considering practical constraints. Specifically, the study considers the DOA estimation problem using AVS ar­rays in three main scenarios: spatially under-sampled configurations, the presence of calibration errors, and sensors with a reduced number of channels.

The idea of spatial sampling by AVS arrays has a different interpretation compared to the equivalent acoustic pressure sensor (APS) arrays. Notably, it is possible to carry out unambiguous DOA estimation using a spatially under-sampled AVS array, which is the main topic of interest in the first part of this work. Here we study the effects of the grating lobes or spatial aliasing on the performance of DOA estimation. We will observe that this idea can also be extended to beamforming applications.

Subsequently, in the second part of this work, we consider the DOA estimation prob­lem using AVS arrays in the presence of calibration errors. First, identifiability conditions are derived for the solution to exist. Then two main classes of self-calibration approaches are proposed. The first calibration approach is array geometry independent and is based on sparse recovery techniques that lead to a one-step solver to estimate both the source DOAs and the calibration parameters jointly. Further, the extension of the proposed self­calibration approach in the presence of wide-band sources is also presented. The sec­ond calibration approach applies only to a uniform linear array (ULA) of AVSs, where the Toeplitz block structure of its covariance matrix is exploited to estimate the calibration errors followed by the estimation of the source DOAs.

In the last part of the thesis, an alternate configuration of an AVS is considered for DOA estimation with a reduced channel count. We refer to such an AVS as a uniaxial AVS (U-AVS). The DOA estimation performance using a U-AVS array is analyzed, and specifically, the impact of the extra degree-of-freedom originating from the fact that each U-AVS in the array can have arbitrary orientation is studied comprehensively. Further­more, all the analyses and proposed algorithms in this thesis are supported by real ex­perimental results performed with AVS arrays in an anechoic chamber.

To conclude, this research on AVS arrays paves the way to achieve an increased sit­uational awareness across our society; this could be either by detecting and localizing problems or threats occurring in an urban environment or assisting soldiers on the bat­tlefield to make a timely decision to achieve peace.

Presentation Prof. E.J. Chichilnisky (Princeton-Stanford)

Toward a High-fidelity Artificial Retina

Prof. E.J. Chichilnisky

Toward a High-fidelity Artificial Retina

Electronic interfaces to the retina represent an exciting development in science, engineering, and medicine – an opportunity to exploit our knowledge of neural circuitry and function to restore or even enhance vision. However, although existing devices demonstrate proof of principle in treating blindness, they produce limited visual function. Some of the reasons for this can be understood based on the precise and specific neural circuitry that mediates visual signaling in the retina. Consideration of this circuitry suggests that future devices may need to operate at single-cell, single-spike resolution in order to subserve naturalistic visual function. I will show large-scale multi-electrode recording and stimulation data from the macaque and human retina indicating that, in some cases, such resolution is possible. I will also discuss cases in which it fails, and propose that we can improve artificial vision in such conditions by incorporating our knowledge of the visual system in bi-directional devices that adapt to the host neural circuitry. Finally, I will introduce the Stanford Artificial Retina Project, aimed at developing a retinal implant that more faithfully reproduces the neural code of the retina, and briefly discuss the implications for scientific investigation and for other neural interfaces of the future.

Bio: Prof. E.J. Chichilnisky trained in mathematics and neuroscience at Princeton and Stanford Universities, and began his independent research career at the Salk Institute. He joined the faculty at Stanford in 2013 where he is the John R. Adler Professor of Neurosurgery, and Professor of Ophthalmology. The goal of his research is to understand how the neural circuitry of the retina encodes visual information, and to use this knowledge in the development of artificial retinas for treating incurable blindness. His lab now focuses on the mission of the Artificial Retina Project.

MSc ME Thesis Presentation

Wafer-scale fabrication of transfer-free graphene-based condenser microphones

Leonardo di Paola

Circuits Crossing the Border

Dr. Taekwang Jang
ETH Zurich

Circuit designers are entering an exciting era in which circuit innovations will be the key enablers of future innovation. Emerging trends such as Machine Learning, the Internet-of-Everything, Brain-Machine Interfaces, Autonomous Driving, 6G Communication and Quantum Computing will drive the design of novel circuits with drastically improved accuracy, speed, and energy efficiency.

However, achieving such improvements will not be straightforward, and will require innovation. A fruitful way of doing this is by using circuits developed for one application domain in other domains. By crossing the border, so to speak, novel circuits with significantly improved performance may be found. In this talk, I will discuss three examples of this design approach:

-  A high-power-density DC-DC converter based on class-D LC oscillators

- A noise-efficient amplifier based on a switched capacitor DC-DC converter

- A low-noise PLL with AC-coupled phase detectors from Instrumentation Amplifiers

Sensors and Interfaces Meeting (SIM)

Sensors and Interfaces Meeting (SIM) is a two-day event featuring 12 outstanding invited speakers from both academia and industry. The theme focus of the 1st day will be “Sensor interfaces for the Internet of Things,” while that of the 2nd day will be “High Performance Sensor Interfaces”. On each of the two days there will be six 40-minute talks followed by 10 minute Q&A sessions will be held.

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Sensors and CMOS Interface Electronics

Would you like to learn about smart sensors and interface circuits? Register for our course “Sensors and CMOS Interface Electronics”, co-organized by TU Delft and MEAD Education.

The course will take place online, on 8 days between May 9 and May 20, with two lectures per day timed conveniently for participation from anywhere on the globe.

Topics include smart-sensor design, calibration techniques, references, offset-cancellation, analog-to-digital conversion, instrumentation amplifiers and energy harvesting. Moreover, the course features lectures by experts in the field dedicated to smart inertial sensors, magnetic sensors, temperature sensors, image sensors, ultrasonic sensors, capacitive sensors, implantable medical devices and DNA microarrays.

PhD Thesis Defence

Image Reconstruction for Low-Field MRI

Merel de~Leeuw den Bouter

This thesis presents imaging algorithms for a prototype low-field MRI system, in particular regularization, handling missing data, and deep learning approaches.

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CAS MSc Information Market

The CAS group

If you are a first year MSc EE student (Signals & Systems, WiCos), then on Thu 24 March, come visit the CAS group at the 17th floor on the EWI tower, meet the professors, and learn about graduation topics for next year.

PhD Thesis Defence

Functional materials for silicon gas sensors

Manjunath Ramachandrappa Venkatesh

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Microelectronics Colloquium

An inclusive EEMCS faculty: An emphatic approach.

Jorge Martinez

Our faculty consists of a vibrant and diverse community. Diversity is a catalyst that allows us to achieve broad knowledge, and a base upon we can drive scientific innovation and improve education.

Moreover, diversity is one of the core values of TUDelft and our faculty and comes with great responsibility. Without equality and inclusion diversity becomes an empty gesture. But realising a safe, equal and inclusive environment requires the participation of everyone in our community. It starts by having a dialog, stablish communication channels at different levels, and debunking taboos with respect to the visible and invisible differences among each other and our students. An empathic approach for this process can play a key role in realising this ambition.

In this colloquium Jorge talks about his experience within EDIT: EEMCS Diversity & Inclusion Team. Join us to know more about EDIT, and for an informal discussion on the current advancements on addressing issues like harassment, discrimination, and gender (in)equality. Or if you want to know what are the channels and means within our faculty and our University to reach for advice or help in case you encounter any issues related to these important topics.

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PhD Thesis Defence

Technology platform for advanced neurostimulation implants: the "Chip-in-Tip" DBS probe

Marta Kluba

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ME colloquium

The early Universe in sub-mm: from blobs to high-res, from monochrome images to spectral surveys

Matus Rybak

The most dramatic chapters in the history of the Universe are the first few billion years after the Big Bang. Half of all stars formed in this epoch, mainly in gigantic, dust-enshrouded galaxies. However, these dusty giants are very challenging to observe - their copious dust renders them invisible to optical telescopes but bright in sub-mm, where spatial resolution, sensitivity, and instantaneous bandwidth remain limited.

I will showcase how rapid advances in mm-wave technology have helped dissect dusty galaxies in unprecedented detail and complexity. In half a decade, we went from studying barely resolved blobs to scales of individual gas clouds. Still, these high-resolution observations are limited to a few dozen of galaxies. The challenge for the 2020s and '30s is to push the population-scale studies by moving from monochrome surveys to ultra-wideband spectroscopy of thousands of galaxies, culminating in surveys with the planned 50-m AtLAST telescope in Chile.

Link;  Click here to join the meeting

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PhD Thesis Defence

Superconducting funnelled through-silicon vias for quantum applications

Juan Alfaro Barrantes

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PhD Thesis Defence

Multi-physics driven electromigration study: multi-scale modeling and experiment

Zhen Cui

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ME colloquium

Biodegradable technologies for medical applications

Clementine Boutry

This presentation will be dedicated to biodegradable technologies. Such devices are designed to work for a defined period of time, and then reabsorb naturally without leaving a trace. They are entirely degradable, including the electronics, and are of great interest both for medical and environmental monitoring applications.

Several projects will be described in detail, including biodegradable pressure sensor arrays for cardiovascular monitoring, stretchable strain and pressure sensors for in vivo orthopedics, biodegradable wireless artery pulse sensors for monitoring of vessel anastomosis and a bioinspired e-skin, detecting the direction of applied pressure for robotics. Future research directions will also be discussed, focusing on soft biodegradable materials with tailored electrical/magnetic properties, and their integration into organ-on-chips, sensors, antennas and soft robotics.

If you would like to join, send an email to and you will receive the TEAMS link

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MSc Biomedical Engineering Thesis Presentation

An Expanded IPFM Model for Heart Rhythm Analysis

Arthur Kordes

Atrial Fibrillation affects millions of people worldwide. It is associated with an impaired quality of life and an increased risk of stroke, cardiac failure and mortality. Treatments exist, but early detection and treatment is crucial, due to the progressive nature of the disease. Algorithms can help with early detection.

Machine learning algorithms are commonly trained to diagnose based on ECG data, but the interpretability is low. A physiological model that simulates the heart gives more insight into the situation of the patient. Current approaches, like the IPFM model, simulate only the SA node and generate RR intervals as output, while completely neglecting the interaction between the AV and SA node. By using an IPFM model and including the AV node as well, an extended and more accurate physiological model was built to more accurately detect Atrial Fibrillation. The AV node model is able to estimate PR intervals when the P waves are annotated. This result shows that the model extension is able to capture information about the signal conduction.

When the SA node model and the AV node model are cascaded and only the R peaks are considered, the classification accuracy does not improve compared to the SA node model alone. The R peaks alone do not contain sufficient information for accurate parameter estimation. The parameters governing the behavior of the AV node seem different for NSR compared to AF, but more data is needed to confirm this. The ability of the model to predict PR intervals gives hope that the inclusion of P wave data should improve the performance of the classification with the extended physiological model.

MSc Thesis Presentation

Characterization of an electroactive polymer for diaphragm micropump in organs-on-chip

Sudiksh Srivastava


The existing drug development process is economically and scientifically challenging. It fails to efficiently emulate human physiology in-vitro with the current pre-clinical studies which includes in-vitro cell culture
models and animal testing. Organ-on-Chip (OoC) technology aims to recreate in-vivo-like micro environment to investigate drug response more effectively. There are ongoing attempts to fabricate OoC technology as a single-platform micro-device to minimize its reliance on external components.
In this perspective, the functionality and throughput of this technology can be improved. One such novel approach is addition of an ionic electroactive polymer (iEAP) actuated diaphragm micropump.

The primary aim of this thesis project was to determine the suitable dimensions of a micro cantilever iEAP, specifically Ionic polymer metal composite (IPMC) to generate appropriate flow rate for the projected diaphragm micropump. In addition to that, dynamics of the IPMC cantilever actuator
is examined in dry environment. To achieve this, the actuator tip - force, tip-displacement, and longevity tests were performed. The results at macroscopic scale were attempted to explain with molecular characteristics of the material.

As result, it was shown that IPMC cantilever actuators at small scale possess viscoelastic properties
and standard beam theory cannot be used to validate the experimental
results. Secondly, the actuation results for 0.1 and 1 Hz align with
the input driving frequency. The IPMC cantilever of length 7 mm generates
the maximum tip-force of 0.138 mN and it is suggested to be used as a
diaphragm actuator for the upcoming micropump.

NB: The public presentation can be streamed at the following address: Zoom link

ME colloquium

Microtechnologies for ultrasound neuromodulation: Gaining ground and losing size. /Towards single-cell resolution neural interfaces

Tiago Costa, Dante Muratore

Abstract Tiago da Costa 
Microtechnologies for ultrasound neuromodulation: Gaining ground and losing size.

Approximately one billion people worldwide suffer from a neurological disease. Up to 30% of patients that undergo pharmaceutical-based therapies eventually stop responding to the treatment. Alternatives to pharmaceutical medicines in the form of neuromodulation are either non-invasive but imprecise, with limited benefits to patients (transcranial magnetic and direct-current stimulation), or are effective but highly invasive (deep brain stimulation) with patient eligibility as low as 5%.
Low intensity focused ultrasound is a promising emerging neuromodulation modality to overcome the limitations mentioned above. Due to the unique combination of low-absorption in soft tissue and sub-millimeter wavelength, ultrasound waves can be focused with neuromodulatory intensity in deep nervous system regions with a high volumetric spatial resolution. However, ultrasound neuromodulation hardware is still in its infancy, often custom-built by adapting off-the-shelf transducers and electronics. These under-optimized solutions result in bulky and power inefficient stimulation technology, severely limiting the translation of ultrasound neuromodulation to clinical therapies for chronic neurological diseases.
This talk will describe my group’s research on microtechnologies for ultrasound neuromodulation. The overarching vision is to design wearable and minimally invasive ultrasound stimulation devices through power-efficient miniaturization of circuits and ultrasound transducers. In particular, I will talk about our efforts to develop two-dimensional ultrasound phased arrays for epidural brain stimulation and vagus nerve stimulation, which have the potential to directly translate into therapies for immunological diseases, epilepsy, and depression.

Abstract Dante Muratore

Towards single-cell resolution neural interfaces
Neural interfaces of the future will be used to help restore lost sensory capabilities (e.g., retina and cochlear implant), or restore lost motor capabilities of people with motor impairments (e.g., due to brainstem stroke, or spinal cord injury). They will also make it possible to augment human capabilities, including sensory acuity, control of complex devices, memory, attention and more. However, to realize this futuristic promise requires a major leap forward in how electronic devices interact with the nervous system. Current neural interfaces provide a coarse communication link that does not respect the single-cell specificity of the neural network they are targeting, indiscriminately activating or recording multiple cells at the same time. As a result, while still promising, current brain-machine interfaces provide only partial restoration of the lost ability.
In my group, we are developing a bidirectional neural interface capable of interfacing with tens of thousands of neurons at single-cell resolution for a high-resolution artificial retina. To do so, we are designing an implantable microsystem powered by a chip that can record and stimulate at single-cell resolution on >1000 thousand channels simultaneously while operating fully wirelessly (power and data). Today, I will give an overview of the project and present recent advances we made on the stimulation strategy. The artificial retina project is embedded in a consortium formed by TU Delft (electronics), Stanford University (neuroscience), and University of Washington (in-vivo electrophysiology).

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MSc ME Thesis Presentation

Secil Sanseven

Microelectronics Colloquium

On my personal journey into artificial intelligence

Justin Dauwels

In this presentation, I will start with a brief introduction to artificial intelligence (AI). I will then elaborate on two types of AI approaches that our research team is investigating: graphical models and neural networks. Next I will summarize some of the main research results of our group. I will review some of the applications of AI that we have been working on over the years, and will present some of our future research plans. I will also say a few words about the spin-off companies that have emerged from our research group. At last, I will conclude with a few thoughts on the potential impact of AI on society and will formulate a few important open research questions in the field of AI.

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PhD Thesis Defence

Atrial Fibrillation Fingerprinting

Bahareh Abdi

Atrial fibrillation (AF) is a common age-related cardiac arrhythmia. AF is characterized by rapid and irregular electrical activity of the heart leading to a higher risk of stroke and heart failure. During AF, the upper chambers of the heart, called atria, experience chaotic electrical wave propagation. However, despite the various mechanisms introduced in the literature, there is still an ongoing debate on a precise and consistent mechanism underlying the initiation and perpetuation of AF. Some studies show that AF is rooted in impaired electrical conduction and structural damage of atrial tissue, known as electropathology. Atrial electrograms (EGMs) recorded directly from heart’s surface, provide an important diagnostic tool to localize and quantify the degree of electropathology in the tissue. However, the analysis of the electrograms is currently constrained by the lack of suitable methods that can reveal the hidden electrophysiological parameters of the tissue. These parameters can be used as local indication of electropathology in the tissue. We believe that understanding AF and improving AF therapy starts with developing a proper forward model that is accurate enough (from a physiological point of view) and simultaneously simple enough to allow for subsequent parameter estimation. Therefore, the main focus of this thesis is on developing a simplified forward model that can efficiently explain the observed EGM based on AF relevant tissue parameters. An initial step before performing any analysis on the data is to remove noise and artefacts. All atrial electrogram recordings suffer from strong far-field ventricular activities (VA). Therefore, as the first step, we propose a new framework for removal of VA from atrial electrograms, which is based on interpolation and subtraction followed by low-rank and sparse matrix decomposition. The proposed framework is of low complexity, does not require high resolution multi-channel recordings, or a calibration step for each individual patient. In the next step, we develop a simplified electrogram model. We represent the model in a compact matrix form and show its linear dependence on the conductivity vector, enabling the estimation of this parameter from the recorded electrograms. The results show that despite the low resolution and all simplifying assumptions, the model can efficiently estimate the conductivity map and regenerate realistic electrograms, especially during sinus rhythm. In the next contribution of this dissertation, we propose a new approach for a better estimation of local activation times for atrial mapping by reducing the spatial blurring effect that is inherent to electrogram recordings using deconvolution. Employing sparsity based regularization and first-order time derivatives in formulating the deconvolution problem, improved performance of transmembrane current estimation is obtained. In the final part, we focus on translating our findings from research to clinical application. Therefore, we studied the effect of electrode size on electrogram properties including the length of the block line observed on the resulting activation map, percentage of observed low voltage areas, percentage of electrograms with low maximum steepness, and the number of deflections in the recorded electrograms.

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MSc ME Thesis Presentation

Organ-on-chip-integrated impedance spectroscopy for blood-brain-barrier integrity analysis

Lovro Ivancevic

MSc SS Thesis Presentation

Temporal Synchronization of Sensors

Tanmay Manjunath

Advanced automotive vehicles are based on the real-time fusion of an increasing number of automotive sensors. For precise fusion of different sensors, measurements need to be synchronized both temporally and spatially. This thesis aims to design a hardware temporal synchronization block as part of the PRISTINE systolic array accelerator project for multi-sensor data fusion. In this process, we study and address several temporal sensor synchronization issues that are characteristic of the considered system as well as any other typical sensor fusion system. First and foremost, we handle the problem of estimating the actual time of sensor measurement by exploring well-known filtering techniques such as Kalman, mean and median filters. A suitable filter is selected for implementation based on the statistical characteristics of the observed sensor cycle times, the complexity of the filters and the quality of obtained estimates. Next, we address the issue of reconstructing incoming sensor data streams according to the estimated sensor measurement times while maintaining minimal latency and synchronization error by employing an adaptive stream buffering technique utilized in distributed multimedia systems. An analysis of the effects of the stream synchronization algorithm’s parameters on buffering latency and synchronization error was presented. Finally, the above synchronization solution was efficiently implemented on hardware by making certain modifications and design decisions to the algorithm. A method to evaluate the whole temporal synchronization process is proposed and the obtained results on real sensor data are presented. Meeting ID: 998 4490 9465 Passcode: 375074

MSc ME Thesis Presentation

Shreyas Shankar

MSc SS Thesis Presentation

Adaptive Graph Partition Methods for Structured Graphs

Yanbin He

Graphs can be models for many real-world systems, where nodes indicate the entities and edges indicate the pairwise connections in between. In various cases, it is important to detect informative subsets of nodes such that the nodes within the subsets are 'closer' to each other. For example, in a cellular network, determining appropriate node subsets can reduce the operation costs. A subset is usually called a cluster. This leads to the graph clustering problem. Furthermore, plenty of systems in the real world are changing over time, and consequently, graphs as models vary with time as well. It is thus also important to update the clusters when the graph changes.

In this thesis work, we studied two problems from the cellular network background. We needed to partition graphs that have certain structures and cluster their nodes to minimize certain cost functions. In the first problem, we partitioned a bipartite graph by minimizing the so-called MinMaxCut cost function, while in the second problem, we partitioned a structured graph by minimizing the so-called Modified-MinMaxCut cost function. The structural property of the graph is incorporated in defining this new cost function. The solutions we proposed are under the framework of spectral clustering, where one relies on the eigenvectors of the graph matrices, e.g., the Laplacian matrix or the adjacency matrix, and any clustering algorithm, e.g., K-means, to partition nodes into disjoint clusters.

Furthermore, for the time-variant graph, we decomposed the problem into two steps. First, we transformed the variations in the graph topology into perturbations to the graph matrices. Then we transformed the update of the clusters into an update of the (generalized) eigenvectors of these graph matrices. We utilized matrix perturbation theory to update the generalized eigenvectors and then update the clusters. Our simulations showed that on synthetic data, the proposed method can efficiently track the eigenvectors and the clusters generated by the updated eigenvectors have almost the same cost function value as that of exact computation.

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MSc ME Thesis Presentation

Board Level Vibration Testing and Qualification for Automotive Applications

Chinghsuan Chou

Revolutionary changes in automotive industry toward fully connected electrical vehicles is changing the world of Board Level Reliability (BLR) Vibration Testing. It is taking BLR Vibration tests beyond board level to board module application level. This defense will showcase development of a reliability test concept called Board Module level Vibration Testing that is required to cope with the challenging application driven requests.

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MSc SS Thesis Presentation

Targetless Camera-LiDAR Calibration for Autonomous Systems

Bichi Zhang

In recent decades, the field of autonomous driving has witnessed rapid development, benefiting from the development of artificial intelligence-related technologies such as machine learning. Autonomous perception in driving is a key challenge, in which multi-sensor fusion is a common feature. Due to the high resolution and rich information, the camera is one of the core perceptual sensor in autonomous systems. However, the camera provides no knowledge on distance (or depth), which is insufficient for the requirements of autonomous driving. On the other hand, LiDAR provides accurate distance measurements, however the information is sparse. The complementary characteristics of cameras and LiDAR have been exploited over the past decade for autonomous navigation. In order to be able to fuse the camera and LiDAR sensor system jointly, an efficient and accurate calibration process between sensors is essential. Conventional methods for calibrating the camera and LIDAR rely on deploying artificial objects, e.g., checkerboard, on the field. Given the impracticality of such solutions, targetless calibration solutions have been proposed over the past years, which require no human intervention and are readily applicable for various autonomous systems, e.g., automotive, drones, rovers, and robots.
In this thesis, we review and analyze several classic targetless calibration schemes. Based on some of their shortcomings, a new multi-feature workflow called MulFEA (Multi-Feature Edge Alignment) is proposed. MulFEA uses the cylindrical projection method to transform the 3D-2D calibration problem into a 2D-2D calibration problem and exploits a variety of LiDAR feature information to supplement the scarce LiDAR point cloud boundaries to achieve higher features similarity compared to camera images. In addition, a feature matching function with a precision factor is designed to improve the smoothness of the objective function solution space and reduce local optima. Our results are validated using the open-source KITTI dataset, and we compare our results with several existing targetless calibration methods. In many different types of roadway environments, our algorithm provides more reliable results regarding the shape of the objective function in the 6-DOF space, which is more conducive for the optimization algorithms to solve. In the end, we also analyze the shortcomings of our proposed solutions and put forward a prospect for future research in the field of joint camera-Lidar calibration algorithms.

This work is part of the EU ADACORSA project co-hosted by the TU Delft CAS group (link:

The zoom link for the defense is

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CAS MSc Thesis Presentation

Hybrid Posit and Fixed Point Hardware for Quantized DNN Inference

Zep Kleijweg

The recently introduced posit number system was designed as a replacement for IEEE 754 floating point, to alleviate some of its shortcomings. As the number distribution of posits is similar to the data distributions in deep neural networks (DNNs), posits offer a good alternative to fixed point numbers in DNNs: using posits can result in high inference accuracy while using low precision numbers. The number accuracy is most important for the first and last network layers to achieve good performance. For this reason, these are often computed using larger precision fixed point numbers compared to the hidden network layers. Instead, these can be computed using low precision posit, to reduce the memory access energy consumption and the required memory bandwidth. The hidden layer computation can still be performed using cheaper fixed point numbers.
An inference accuracy analysis is performed to quantify what the effect of this approach is on the VGG16 network for the ImageNet image classification task. Using 8 bit posit for the first and last network layer instead of 16 bit fixed point is shown to result in a top-5 accuracy degradation of only 0.24%. The hidden layers are computed using 8 bit fixed point in both cases.
The design of a parameterized systolic array accelerator performing exact accumulation is proposed that can be used in a scale-out system along with fixed point systolic array tiles. To increase hardware utilization, a hybrid posit decoder is designed to enable fixed point computation on the posit hardware. Using this hardware, the entire network can be computed using 8 bit data, instead of using 16 bits for some layers. This reduces energy consumption and the complexity of the memory hierarchy

CAS MSc Thesis Presentation

Sound Zones with a Cost Function based on Human Hearing

Niels de Koeijer

With the aid of an array of loudspeakers, sound zone algorithms seek to reproduce multiple distinct zones of audio inside an enclosure. Typical approaches determine the loudspeaker inputs by optimizing over a cost function that models the sound pressure inside the enclosure. However, recent methods propose cost functions that include a perceptual model of the human auditory system, which further models the perception of sound. This thesis investigates such an approach by proposing a framework within which sound zones are constructed through optimization over a perceptual model. The framework is used to propose two perceptual sound zone algorithms: unconstrained and constrained perceptual pressure matching. Simulations of the proposed algorithms and a reference algorithm are presented to determine the benefits of including auditory-perceptual information in sound zone algorithms. From this, it is found that the unconstrained perceptual approach outperforms the reference in terms of various perceptual measures. In addition, it is found that adding perceptual constraints to the optimization problem allows for control of sound zones which correlates well with other perceptual quality measures.

PhD Thesis Defence

In-pixel temperature sensors for dark current compensation of a CMOS image sensor

Accel Abarca Prouza

This thesis describes the integration of temperature sensors into a CMOS image sensor (CIS). The temperature sensors provide the in-situ temperature of the pixels as well as the thermal distribution of the pixel array. The temperature and the thermal distribution are intended to be used to compensate for dark current affecting the CIS. Two different types of in-pixel temperature sensors have been explored. The first type of temperature sensor is based on a substrate parasitic bipolar junction transistor (BJT). The second type of temperature sensor that has been explored is based on the nMOS source follower (SF) transistor of the same pixel. The readout system that is used for the temperature sensors and for the image pixels is based on low noise column amplifiers. Both types of in-pixel temperature sensors (IPTS) have been designed implementing different techniques to improve their accuracy. The use of the IPTSs has been proved by measuring three prototypes chips. Also, a novel technique to compensate for the dark current of a CIS by using the IPTS has been proposed.

For those who cannot attend, you can follow it by using this link:

MSc SS Thesis Presentation

On the Integration of Acoustics and LiDAR

Ellen Riemens

Loudspeakers are placed in an environment unknown to the loudspeaker designers. The room influences the acoustic experience for the user. Having information about the room makes it possible to better reproduce the sound field as intended. Using microphone measurements, the location of acoustic reflectors can be inferred. Current state-of-the-art methods for room boundary detection focus on a two-dimensional setting. Detection of arbitrary reflectors in three dimensions increase complexity due to practical limitations, i.e. the need for a spherical array and the increase of computational complexity. The presence of horizontal reflectors cause inaccuracy for wall detection due to model mismatch. Loudspeakers may not present an omnidirectional directivity pattern, as usually assumed in the literature, thus making the detection of acoustic reflectors in some directions more challenging.

In this thesis, a LiDAR sensor is added to a smart loudspeaker to improve wall detection accuracy and robustness. This is done in two ways. First, the horizontal reflectors that are not present in the acoustic model are sought detected with the LiDAR sensor to enable elimination of their detrimental influence. Second, a method is proposed to compensate for the challenging regions for wall detection in highly directive loudspeakers, using the LiDAR sensor. Experimental results, evaluated in different simulated scenarios are shown for comparison of the proposed method and the state-of-the-art method, that exclusively uses acoustic information.

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MSc SS Thesis Presentation

Edge State Kalman Filtering for Distributed Formation Control Systems

Martijn van der Marel

Formation control problems consider a set of mobile agents with the underlying goal of attaining and maintaining a state where the relative positions of agents are stable in accordance with the desired configuration. Navigation for formation control is typically achieved through localization in a global reference frame, e.g., via GNSS. However, when a global reference frame is not shared among agents, a relative navigation approach is required.

Distributed filtering for relative localization in formation control systems is a relatively unexplored field. The absence of absolute positioning means motivates the need for a distributed filter that operates on the edges of the sensing graph of the multi-agent system. In this thesis, a data model for relative formation control problems and two edge-based Kalman filters are proposed. The first filter is designed for an individual edge. The second is a filter designed via decoupling of the optimal global filter which allows for the joint estimation of adjacent edges. It is shown that the joint filter is optimal under the decoupling constraints.

Monte Carlo results show that when random environmental disturbances are correlated among agents, the joint filter outperforms the local edge filter in a mean square error sense.

Lastly, systems are considered where inter-agent communications are unavailable, leading to biased prediction steps of the Kalman filters. We aim to minimize this effect through the proposal of a local Wiener filter which predicts the control actions of neighboring agents.

ME colloquium

Presenation on research Wideband CMOS Transmitters

Morteza Alavi

Morteza Alavi will update you on the latest developments that are realized within his research group in the area of "Wideband CMOS Transmitters."

if you would like to join, send an email to

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PhD Thesis Defence

Prognostics and Health Management of safety relevant electronics for future application in autonomous driving

Alexandru Prisacaru

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PhD Thesis Defence

Design and processing of Silicon and Silicon Carbide Sensors

Brahim Mansouri

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MSc SS Thesis Presentation


Stefanie Brackenhoff

A data model and algorithm for detecting spectral lines and continuum emission of highredshift galaxies using DESHIMA 2.0

ME colloquium

On the development of Submillimeter-wave Heterodyne Instruments for Space Exploration

Maria Alonso-delPino

Over the past several decades, the primary driver for the development of terahertz imaging systems has been astronomy, Earth, and planetary sciences. The main challenges these instruments face are a limited sensitivity, and a strict power, mass, and volume budget, which is even more challenging for multi-pixel and beam-steering architectures. Over the last 5 years as a researcher at the Jet Propulsion Laboratory - NASA, my focus has been the advancement of state-of-the-art instrumentation to improve and enable new capabilities for imaging systems at millimeter and submillimeter-wave bands. In this talk, I will present the current challenges that heterodyne instruments face at submillimeter wavelengths and how the combination of silicon micromachining technologies with novel antenna front-end architectures has opened the path to a new era for heterodyne instruments. Now at TUDelft, I am continuing to build this knowledge and capabilities to new emerging communication applications.

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MSc ME Thesis Presentation

Improving electrical characteristics of graphene neural electrode

Merlin Palmar


Neuroscientists use neural electrodes to explore the working mechanisms of the nervous system. Therefore, ideal electrodes should have a small size and the ability to record and stimulate at a single cell resolution with low noise. Materials used for fabrication should be flexible and stable for a long period in the biological media. However, conventional recording and stimulation techniques do not have sufficient spatiotemporal resolution for neuroscience research. Combining electrical and optical modalities into one device helps overcome the resolution limits and record more detailed information. For this application, transparent conductive materials are needed.

Graphene is a potential solution due to its advantageous combination of properties, such as high conductivity, transparency, and flexibility. However, important characteristics of recording and stimulation electrodes, such as the impedance and charge injection capacity of graphene electrodes, do not reach the levels of conventional materials. The electrical characteristics of graphene could be improved further with surface modification, chemical doping, or stacking. Each method has been shown to improve the conductivity of graphene, although some affect the transparency of the layer.

In this work, three methods were used to improve the electrical characteristics of multilayer graphene neural electrode without losing transparency or flexibility. These methods include growing a thicker layer of graphene, adding metal nanoparticles to the surface of the electrode, and nitric acid doping of graphene. For that purpose, graphene electrodes were fabricated on a silicon wafer. The electrical characteristics of these electrodes were assessed with electrochemical impedance spectroscopy, cyclic voltammetry and four point probe measurements. Furthermore, the optical transmittance was measured. The improvement methods were then tested on these electrodes, and the performance was evaluated.

Adding metal nanoparticles to the surface of the electrode showed the most promising results. With gold nanoparticles, the impedance at 1 kHz was lowered 82%, and charge storage capacity increased 529%. However, at the same time, 30% of the optical transmittance was lost. With lower nanoparticle density, 6% of transmittance was lost, and 7% of impedance gained. Nitric acid doping did not improve the impedance, but the charge storage capacity was increased up to 66%. Thicker layers of graphene displayed a lower sheet resistance. However, impedance or charge storage capacity were not improved.

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MSc SS Thesis Presentation

GNSS Chirp Interference Estimation and Mitigation

Daniel Kappelle

GNSS receivers can suffer severely from radio frequency interference (RFI). RFI can introduce errors in the position and time calculations or if the interference is very severe, can lead to a total loss of GNSS reception. This vulnerability of GNSS can have large implications on critical infrastructure such as power plants, telephony, aviation or search and rescue operations. RFI is a real threat to GNSS as many interfering incidents are reported every day.

A common type of RFI is chirp interference, which is a sweep over a wide range of frequencies that overlap with the frequencies used by GNSS. This is often emitted by cheap Personal Privacy Devices that can be bought online. The question in this thesis was how well such interference can be modelled and if modelling could help mitigation against it.

This thesis consists of two main parts. In the first part a novel estimator is proposed that assumes a mathematical model of a chirp and estimates its parameters from recordings of chirps. The estimator has shown to work well in simulations for chirps with an SNR of −9 dB or more. On real recordings the estimates were accurate for 66.7 % of the signals.

In the second part the estimator was used to derive a filter. The filter is based on the subtraction of a replica of the chirp interference from the received signal. It uses the proposed estimator to create the replica. In simulations, the filter is able to improve correlation strength by up to 7 dB. On real recordings the performance was worse as for only 46 % of the recordings the GNSS correlation was increased. Both the estimator and filter have many ways in which they could be improved. The estimator can be improved to allow for more complex chirps, which would in turn improve the filter. Both can also be made more computationally efficient.

Furthermore, in order to get a better understanding of Personal Privacy Devices, one such device has been tested. It was found that the signal from the device was very unstable and changed much over time, it was also highly dependent on ambient temperature. The device has also been opened up and reverse engineered to understand how it works.


Techniek in je mobiele telefoon

Leo de Vreede

Want hoe te zorgen voor efficiënt energiegebruik terwijl we juist meer informatie willen uitwisselen? Wat zijn de consequenties van het 5G-netwerk voor de hardware? En hoe combineren we deze geavanceerde techniek met duurzaam en verantwoordelijk gebruik van materialen in de telefoon?

Registreer :


19.00 uur

Welkom en introductie door Jenny Dankelman, hoogleraar technologie voor minimaal-invasieve chirurgie en interventies, Technische Universiteit Delft en Albert van den Berg, hoogleraar sensorsystemen voor biomedische en milieutoepassingen, Universiteit Twente

19.05 uur Bram Nauta, hoogleraar Integrated Circuit Design, Universiteit Twente – Achter de schermen: chips in je smartphone

Dankzij chips kunnen we tegenwoordig heel veel elektronica in een smartphone stoppen. De rekenkracht is al veel meer dan grote supercomputers van weleer, en de data-snelheden voor draadloze communicatie gaan maar omhoog. Achter het scherm van een smartphone gaat een hele wereld schuil, waar transistoren van maar een paar nanometer groot, met vele miljarden op een chip tegelijk aan het werk zijn voor ons. In deze voordracht licht Bram Nauta een tipje van de sluier op van deze onzichtbare wereld, en licht toe hoe bijvoorbeeld een draadloze ontvanger op een chip werkt.

Bram Nauta is hoogleraar IC Design (chipontwerp) aan de Universiteit Twente. Met zijn groep doet hij onderzoek naar elektronische geïntegreerde schakelingen voor draadloze communicatie en sensor/actuator interfaces.

19.25 uur Leo de Vreede, hoogleraar elektronische schakelingen en architecturen aan de TU Delft – 5G: energieslurper of energiezuinig

De exponentiële toename van draadloos dataverkeer heeft onlangs geleid tot de introductie van het vernieuwde mobiele netwerk met 5G-technologie. 5G brengt een aantal radicale veranderingen met zich mee voor de basisstations, die de bouwstenen zijn van een draadloos netwerk. Om de beoogde datasnelheden binnen de beschikbare frequentiebanden te bereiken, maken deze basisstations gebruik van gerichte zendbundels en kleinere cel-afmetingen. Hiermee kan het energieverbruik omlaag gebracht worden. In theorie dan. Want in de praktijk zien we het energieverbruik juist toenemen – hoe kan dat? Kunnen nieuwe, baanbrekende technologieën hierin uitkomst bieden? In zijn lezing praat Leo de Vreede ons bij over de overgang van 4G naar 5G en welke uitdagingen deze met zich meebrengt.

Leo de Vreede is hoogleraar elektronische schakelingen en architecturen aan de TU Delft. De Vreede’s team doet – op dit moment – onder meer onderzoek naar energiezuinige zenders én ontvangers voor mobiele netwerken.

19.45 uur Eva Gouwens, managing director van Fairphone, Amsterdam – Het verhaal van de Nederlands telefoonmaker Fairphone: 'the only smartphone with a heart'

Je telefoon zit boordevol kostbare materialen. Toch blijven oude telefoons na gebruik massaal in lades liggen. We zijn verknocht aan onze mobiele telefoons en gebruiken ze dagelijks intensief. Maar wat weten we eigenlijk van de wereld en industrie achter deze geliefde smartphones? De keten van een smartphone zit van begin tot eind boordevol oneerlijke praktijken. Fairphone probeert deze industrie eerlijker en duurzamer te maken door te laten zien dat het anders kan met een eigen modulaire en eerlijkere smartphone. Van een verantwoorde inkoop van materialen tot de stimulering van het welzijn van arbeiders. De resultaten worden openlijk gedeeld en zorgen voor nieuwe maatstaven in de industrie.

Eind 2017 startte Eva Gouwens bij Fairphone en nam in 2018 het roer over als CEO. Ze hoopt de wereld een stukje mooier te maken door de groei van sociale ondernemingen binnen Nederland te ondersteunen en door een industrie te inspireren om op een positieve manier om te gaan met de zorg voor mens en milieu.

20.05 uur Discussie met panel en publiek onder leiding van Jenny Dankelman en Albert van den Berg

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PhD Thesis Defence

Advances in graph signal processing - Graph filtering and network identification

Mario Coutino

To the surprise of most of us, complexity in nature spawns from simplicity. No matter how simple a basic unit is, when many of them work together, the interactions among these units lead to complexity. This complexity is present in the spreading of diseases, where slightly different policies, or conditions, might lead to very different results; or in biological systems where the interactions between elements maintain the delicate balance that keep life running. Fortunately, despite their complexity, current advances in technology have allowed us to have more than just a sneak-peak at these systems. With new views on how to observe such systems and gather data, we aim to understand the complexity within.

One of these new views results from, the field of graph signal processing, providing models and tools to understand and process data coming from such complex systems. With a principled view, coming fromits signal processing background, graph signal processing establishes the basis for addressing problems involving data defined over interconnected systems by combining knowledge fromgraph and network theory with signal processing tools. In this thesis, our goal is to advance the current state-of-the-art by studying the processing of network data using graph filters, the workhorse of graph signal processing, and by proposing methods for identifying the topology (interactions) of a network fromnetworkmeasurements.

To extend the capabilities of current graph filters, the network-domain counterparts of time-domain filters, we introduce a generalization of graph filters. This new family of filters does not only provide more flexibility in terms of processing networked data distributively but also reduces the communications in typical network applications, such as distributed consensus or beamforming. Furthermore, we theoretically characterize these generalized graph filters and also propose a practical and numerically-amenable cascaded implementation.

As all methods in graph signal processing make use of the structure of the network, we require to know the topology. Therefore, identifying the network interconnections from networked data is much needed for appropriately processing this data. In this thesis, we pose the network topology identification problem through the lens of system identification and study the effect of collecting information only from part of the elements of the network. We show that by using the state-space formalism, algebraic methods can be applied to the network identification problemsuccessfully. Further, we demonstrate that for the partially-observable case, although ambiguities arise, we can still retrieve a coherent network topology leveraging state-of-the-art optimization techniques.

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MSc ME Thesis Presentation

Danai Galiti

MSc SS Thesis Presentation

Boundary Element Method in Coil Design for Magnetic Resonance Imaging

Teun de Smalen

MRI is an non-invasive imaging technique used by many physicians to diagnose and treat diseases. The technique however is still very expensive and thus out of reach for developing countries. This has led to the goal to design a low-cost MRI system. The challenges that arise from this system make it necessary to design coils in a different way than conventional MRI.

In this work the inverse boundary element method is used to create a coil design method for an arbitrary surface. This method is described and the mathematical framework is analyzed. A regularization method for the inverse problem has been designed in the form of a regularization matrix. This regularization matrix is constructed such that it can handle arbitrary surfaces. The regularization matrix is applied using Tikhonov regularization.

To validate the design method a proof of concept radiofrequency coil for the low field MRI system at the LUMC has been realized. This coil is designed and has been used to image the human brain of an adult. The results from simulations beforehand are in agreement with the physically built coil showing that this method makes it possible to design and construct a physically feasible coil on an arbitrary surface.

Signal Processing Seminar


Alberto Natali

Signal processing and machine learning algorithms for data supported over graphs, require the knowledge of the graph topology. Unless this information is given by the physics of the problem (e.g., water supply networks, power grids), the topology has to be learned from data. Topology identification is a challenging task, as the problem is often ill-posed, and becomes even harder when the graph structure is time-varying. In this paper, we address the problem of dynamic topology identification by building on recent results from time-varying optimization, devising a general-purpose online algorithm operating in non-stationary environments. Because of its iteration-constrained nature, the proposed approach exhibits an intrinsic temporal-regularization of the graph topology without explicitly enforcing it. As a case-study, we specialize our method to the Gaussian graphical model (GGM) problem and corroborate its performance.

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PhD Thesis Defence

Rate-constrained multi-microphone noise reduction for hearing aid devices

Jamal Amini

Many people around the world suffer fromhearing problems (In theNetherlands, around 11%of the population is considered hearing-impaired). To overcome their hearing problems, advanced technologies like hearing aid devices can be used. Hearing aids are meant to assist the hearing-impaired to improve the speech intelligibility and the quality of sounds that they intend to hear. Usually these include processors which are mainly designed to enhance the sound signals originating form the source of interest by reducing the environmental noise. Binaural hearing aids, on the other hand, can also help to preserve some spatial information from the acoustic scene, which can help the hearing aid user to hear the sounds from the correct locations. To construct the binaural hearing aid system, two hearing aids are needed to be placed in the left and the right ears, which can potentially communicate through a wireless link. In addition, one can think of additional assisting devices with microphones placed in the environment. One common way to reduce the noise is to use advanced binaural multi-microphone noise reduction algorithms, which aim at estimating some desired sources while reducing the power of the undesired sources. One typical method is to use spatial filtering, which aims at estimating the target signal by shaping the beam towards the location of the desired source while canceling/suppressing the other sources.

To performbinaural noise reduction, while assuming centralized processing, the signals recorded at remote microphones (for example from additional assisting devices or in the binaural hearing aid setup, the sound signals from the contralateral hearing aid) need to be transmitted to the central processor. Due to the power and bandwidth limitations, the data needs to be compressed before transmission. Therefore, the main question would be, at which rate the data should be compressed to have reasonably good noise reduction performance. This links the noise reduction problem to the data compression problem. Generally, the higher the data rate, the better the noise reduction performance. Therefore, there is a trade-off between the performance of the noise reduction algorithmand the data-rate at which the information is compressed. This problem is closely connected to the rate-distortion problem from an information-theoretic viewpoint. Studying the effect of data compression on the performance of noise reduction problems would be of great interest to reduce the power consumption of hearing assistive devices.

Oneway to incorporate data compression into the noise reduction problem is to perform quantization, which leads to a rate-constrained noise reduction problem. In the rate-constrained noise reduction, the goal is to estimate the desired sources based on the imperfect data. The observations from remote sensors are quantized and transmitted to the fusion center. The main challenge in the binaural rate-constrained noise reduction is to find the best quantization rates for the different sensors at different frequencies, given the physical constraints like bitrate and power constraints.

Another aspect of the rate-constrained noise reduction is to expand the network to receive more information on the acoustic scene using additional assistive devices. Target source estimation using information form such assistive devices (rather than only binaural hearing aids) is shown to result in better noise reduction performance. Now the question is how to allocate the bitrates to the assistive devices as well. These assistive devices can be thought of as the remote embedded microphones on the cell-phones (mobile) or wearablemicrophones placed at the users’ bodies. The binaural hearing aid system can thus be generalized to allow other assistive devices to contribute to noise reduction.

In this dissertation, we study and propose different rate-constrained multi- microphone noise reduction algorithms. We try to expand the notion of the binaural rateconstrained noise reduction to multi-microphone rate-constrained noise reduction for general wireless acoustic sensor networks (WASNs). The WASN in this case can include the binaural setup along with other assistive devices. We propose different algorithms to cover the main objectives of rate-constrained noise reduction problems. These objectives mainly include good target estimation (less environmental noise power) given the compressed data, good rate allocation strategies in WASNs, and preferably preserved spatial information of the sources in the acoustic scene to get the correct impression of the acoustic scene.

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Ph.D. Thesis Defense of Sining Pan

Resistor-based temperature sensors in CMOS technology

Sining Pan

Time: Monday, 12 April 2021, 12:00-12:15 (layman’s talk), 12:30-13:30 (defense)

Abstract: This thesis describes the principle and design of an emerging type of CMOS temperature sensors based on the temperature dependency of on-chip resistors. Compared to traditional BJT-based designs, resistor-based sensors have higher energy-efficiency, better scalability, and can operate under a wider supply range. Nine design examples are shown in this thesis to demonstrate how resistor-based sensors can be optimized for accuracy, energy-efficiency, or other application-driven specifications. Among all the records the designs achieved, the energy-efficiency improvement is the most impressive: 65× better than state-of-the-art before this research, or only 6× away from the theoretical value.

Please feel welcome to join the live stream:


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MSc ME Thesis Presentation

Design, Integration and Characterization of Microelectrodes for Heart-On-Chip Applications

Shriya Rangaswamy

The (parametric) Voice of Your Heart

Towards Parametric Cardiac Modelling for early recognition and Treatment of AF

Richard Hendriks

Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia, with a prevalence that continuously increased over the past decades. The risk of developing AF among people aged 40 years or older is currently about 25 %. Despite its high prevalence, the exact mechanisms underlying AF are unknown and available treatment strategies are not effective. Although AF in itself is not directly life-threatening, it can lead to many serious complications like heart failure and strokes. As the disease is progressive, early (non-invasive) detection is important.

To increase understanding on the mechanisms underlying AF and develop a better treatment strategy we have set up a collaboration between the Erasmus medical center (Unit Electrophysiology) and TUDelft, where we develop atrial parametric models that can aid in the understanding, detection and treatment of AF. In this presentation I will highlight some of the recent activities, opportunities and outcomes of this collaboration.

If you you would like to join this colloquium, send an email to and you will receive the TEAMS link.

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ME colloquium

MEMS-flavored organs-on-chip

Massimo Mastrangeli

The current drug development process selects candidate drugs for human testing through several pre-clinical stages making use of only approximate models of human physiology. Such models include static engineered cell cultures and non-human animals, and do not recapitulate the (patho)physiology of human organs or tissues well enough to always ensure reliable translation of results to humans. This makes the process increasingly expensive and time-consuming. A novel technology stemming from the convergence of tissue engineering and microfluidics may hold the key to bridge the translational gap, and even allow personalized drug testing. Such technology, able to reproduce realistic in vivo-like dynamic and stimulative microenvironments for tissues in vitro, goes under the name of "organs-on-chip".

In this talk I will introduce the biotechnological convergence at the root of organs-on-chip before outlining research tracks under development at ECTM in two main sub-topics: innovative microelectromechanical organs-on-chip able to stimulate and sense tissue activity, and their embedding within advanced platforms for pre-clinical research. I will conclude with remarks on the role of open technology platforms for the broader establishment and acceptance of organs-on-chip technology in research and drug development.

If you want to join, please send an email to:

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ME Colloquium by Karen Dowling

Offset and Noise Behavior of Microfabricated AlGaN/GaN Hall-effect Sensors

Karen Dowling
Stanford University

They are incredibly useful due to their non-perturbing nature. For example, they can be used to infer information about position, velocity, and current in power systems. In many applications, silicon Hall effect sensors are quite popular due to their low cost and ease of integration with silicon circuits. However, silicon Hall-effect plates cannot operate at extreme temperatures (< -100°C or above 300°C) due to carrier freeze out and intrinsic carrier leakage, respectively. In addition, Hall-effect plates have challenges with thermal drift, offset, and flicker noise.

In this talk, I will describe an AlGaN/GaN 2DEG Hall-effect plate with ~100 ppm/K drift, 0.5 micro-Tesla offset, and 200 Hz corner frequency. In addition, the GaN 2DEG Hall-effect plates have operated in an extended temperature range from 50 K to 600°C. These metrics beat out state-of-the-art silicon Hall-effect sensors. Through this work, I have achieved record-low offsets with GaN 2DEG Hall devices, presented a framework for studying noise in GaN Hall sensors, and initiated steps towards integration of Hall-effect devices in microsystems for low-earth orbit and current sensing in transformers. These contributions will enable a future monolithically integrated GaN platform for power electronics and extreme environments.

About the Speaker: Karen Dowling received her B.S. degree in electrical engineering from the California Institute of Technology, Pasadena CA in 2013 and M.S. degree in electrical engineering from Stanford University, CA in 2015. She received her Ph.D. in electrical engineering at Stanford University in 2019. In 2011, she was a Systems Engineering Intern at Crane Aerospace Electronics, Burbank CA. In 2012, she was a Research Assistant at the Wireless Integrated Microsystems center at the University of Michigan, Ann Arbor. In 2015, she was an intern at MIT Lincoln Laboratory, Lexington MA, and in 2018 she was an intern at Infineon Technologies in Munich, Germany. Currently, she is a postdoctoral researcher at Lawrence Livermore National Laboratory with a focus on opto-electronics for power and RF devices. Her research interests include the use of wideband gap materials for the development of sensors for extreme environments, in particular magnetic field sensors for power electronic systems and navigation for exploration. Dr. Dowling is a National Science Foundation Graduate Research Fellow and was the student president of the NSF engineering research center for power optimization of electro-thermal systems.

TEAMS link can be reuqested by sending an email to (department secretary ME)

Medical Delta Café

Medical Delta Café 'Zorg naar huis, en dan….? Van monitoren tot behandelen'

Wouter Serdijn, Frank Willem Jansen (Medical Delta), Gisela Terwindt (LUMC), Ries Biggelaar van den (ErasmusMC)

In het online Medical Delta Café 'Zorg naar huis, en dan….? Van monitoren tot behandelen' belichten prof. dr. Gisela Terwindt (LUMC) en drs. Ries van den Biggelaar (Erasmus MC) deze kwesties, waarna deelnemers worden uitgenodigd mee te discussiëren en kennis uit te wisselen in een paneldiscussie met onder andere Medical Delta hoogleraar prof. dr. ir. Wouter Serdijn (TU Delft).

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MSc SS Thesis Presentation

Graph-aware Anomalous Network Agent Detection

Ahmet Gercekcioglu

Networks with a large number of participants and a highly dynamic data exchange are better off using a distributed networking system due to network failures in centralized networks. However, with the increase in distributed networking, security problems arise in distributed processes. Injection of malicious data, for example, must be dealt with by using the tools provided by detection theory. The detection probability pd can be taken as the performance metric that we aim to optimize. In order to achieve this, one must first define a hypothesis testing problem and derive an optimization problem for pd that is dependent on which nodes are assumed to be compromised by these malicious agents that inject data.

For the injected data, there are three different models taken into consideration for the change in values over time and nodes. For every model, we assume that the outlier data can be injected with two different attack modes. These attack modes enforce different network topology related constraints on the set of compromised nodes due to different motivations. Furthermore, additional constraints are assumed due to the limited resources of the agents.

Additionally, with the given framework, we can also derive an optimization problem that can be solved with the help of the well-known linear regression method, i.e., Lasso. The problem that arise with this method is the difficulty of implementing the network topology related constraints into this optimization problem.

In order to solve these optimization problems, several methods are combined for the relaxation and solution of the optimization problems.

From numerical evaluation, it can be observed that our empirical performance is non-negligibly lower than the theoretical performance for all three models and both attacking modes. This can be linked to the dependence of the empirical distribution to the derived subset of compromised nodes, these subsets are chosen such that the cost function is optimized. Hence, we observe that the empirical values are much higher than it is theoretically assumed, in case that the network is 'clean'.

A second factor for performance evaluation is the number of wrongly indexed nodes, it can be observed how this factor is dependent on the distribution of the energy of the outlier data over the nodes and time.

Overall, this study shows that the provided framework shows an increasing performance for an increasing outlier-to-noise energy ratio. For an energy ratio higher than 0.5, the empirical and theoretical ROC-curves are nearly perfectly saturated for all models. The number of wrongly indexed nodes for our methods is generally speaking lower compared with the Lasso-method.

PhD thesis defence

Out-of-band Interference Immunity of Negative-Feedback Amplifiers

Emil Totev

Out-of-band interference is caused by the non-linear behaviour of the components in amplifier circuits, as detailed in Chapter 1. To address that, it is necessary to develop amplifiers with a low IP2 figure, i.e., apply linearisation.

Chapter 2 gives an overview of the existing linearisation techniques and other methods to reduce the effect of non-linear behaviour. A mathematical analysis of a generic negative-feedback amplifier is conducted in Chapter 3 using the Volterra series. As this method often involves complex, cumbersome calculations, a simplified approach is introduced in Chapter 4. Using both the classical and the simplified non-linear analysis tools, a number of new design methods for out-of-band interference immunity enhancement are developed in Chapter 5. These make use of frequency-dependent local feedback, pole position manipulation and non-linear local-feedback compensation. Finally, a design example of non-linear local-feedback compensation in a negative-feedback amplifier is presented in Chapter 6.

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PhD Thesis Defence

ELECTROMAGNETIC FIELDS IN MRI: Analytical Methods and Applications

Patrick Fuchs

Electrical properties, the conductivity and permittivity of tissue, are quantities that describe the interaction of an object and electromagnetic fields. The properties influence electromagnetic fields and are influenced themselves by physiological phenomena such as lesions or a stroke. Therefore, they are important in identifying or diagnosing the severity of pathologies and are essential in magnetic resonance imaging (MRI) safety and efficiency by determining tissue heating or sensitivity to excitation pulses and antenna designs.

In two-dimensional electromagnetic fields, which occur in specific measurement geometries, it is possible to simplify the relationship between electromagnetic fields and electrical properties, and reconstruct these properties using essentially a forward operation, foregoing a full inversion scheme. These insights also help to find, and explain, the cause of specific artefacts, such as those caused by mismatches in incident field used in the computation of the full electromagnetic fields.

The two-dimensional field assumption necessary for the simplified relationship described above is subsequently tested, and it is shown that this assumption does not hold when the object is sufficiently translation variant in the longitudinal direction. That is, even if the fields for a translation invariant object would be two-dimensional, they become three-dimensional through the interaction of the tissue parameters with the fields, which cause out of plane current and field contributions.

Another interesting application of closed form expressions between currents and fields is the target field method, which solves the inverse source problem between electric currents and static magnetic fields in a regularised manner by constraining their relationship to a cylindrical geometry. This method is adapted for transverse oriented magnetic fields to be used with Halbach type magnet arrays, and an open source tool is developed to make the method easy to apply for various design considerations. Moving away from constraints on the field or current structure, we show the intricate relationship between electrical properties and the measured signal in an MRI scanner. This is done by deriving the electro- (and magneto-) motive force for a typical MRI scenario without any assumptions on the object or electro-magnetic fields. This model can then even be used to reconstruct electrical properties from the simplest MRI signal, namely the free induced decay (FID) signal.

To round off our investigation of electrical properties we take a small detour to the magnetic tissue property, the permeability or magnetic susceptibility. For reconstructing this tissue property a dipole deconvolution is required, where the dipole convolution loses information of the original object through the zeros of the dipole kernel. A new machine learning based approach to reconstruct the lost information is investigated in the final chapter of this thesis.

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PhD Thesis Defence

Integrated Circuits for Miniature 3-D Ultrasound Probes: Solutions for the Interconnection Bottleneck

Zhao Chen

14:30-15:00 (layman’s talk), 15:00-16:00 (defence)

Please feel welcome to join the live stream

Promotors: Michiel Pertijs and Nico de Jong

Abstract: This thesis describes low-power application-specific integrated circuit (ASIC) designs to mitigate the constraint of cable count in miniature 3-D TEE probes. Receive cable-count reduction techniques including subarray beamforming and digital time-division multiplexing (TDM) have been explored and the effectiveness of these techniques has been demonstrated by experimental prototypes. Digital TDM is a reliable technique to reduce cable count, but it requires an in-probe datalink for high-speed data communication. A quantitative study on the impact of the datalink performance on B-mode ultrasound image quality has been introduced in this thesis for data communication in future digitized ultrasound probes. Finally, a high-voltage transmitter prototype has been presented for effective cable-count reduction in transmission while achieving good power efficiency. The application of these techniques is not limited to only the design of TEE probes and can be easily extended to the design of other miniature 3-D ultrasound probes, for instance intracardiac echocardiography (ICE) probes and IVUS probes, which are facing similar interconnect challenges with an increased number of transducer elements to enhance imaging quality.

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MSc ME Thesis Presentation

Cardiac mapping on ex vivo perfused porcine slaughterhouse hearts

Jorik Hans Amesz

MSc ME Thesis Presentation

Polyimide encapsulation for implantable medical devices

Sevda Malek Kani

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MSc ME Thesis Presentation

Ultrasound Energy Transfer using Charged CMUTs

Youri Westhoek

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MSc ME Thesis Presentation

Towards cMUT for Neurostimulation

Eric Bert Dijkema

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ME Colloquium

Past, Present and Future of micro/nano Electronics Reliability

The scientific successes of many micro/nano-related technology developments cannot lead to business success without innovation and breakthroughs in the way that we address reliability through the whole value chain. The ultimate aim of reliability is to predict, optimize and design upfront the reliability of micro/nanoelectronics and systems, an area denoted as ‘Design for Reliability (DfR)’. While virtual schemes based on numerical simulation are widely used for functional design, they lack a systematic approach when used for reliability assessments. Besides this, lifetime predictions are still based on old standards (MIL, FIDES, Telcordia, etc.) assuming a constant failure rate behavior. Here, the so-called digital twin comes into sight, which is no more than just a mathematical model of a physical object. In this talk, I will present the history of reliability as we know it and what future directions are foreseen.

If you would like to join the colloquium, send an email to and you will receive the link.

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MSc SS Thesis Presentation

Deep Learning-Based Sound Identification

Shaoqing Chen

Environmental sound identification and recognition aim to detect sound events within an audio clip. This technology is useful in many real-world applications such as security systems, smart vehicle navigation and surveillance of noise pollution, etc. Research on this topic has received increased attention in recent years. Performance is increasing rapidly as a result of deep learning methods. In this project, our goal is to realize urban sound classification using several neural network models. We select log-Mel spectrogram as the audio representation and use two types of neural networks to perform the classification task. The first is the convolutional neural network (CNN), which is the most straightforward and widely used method for a classification problem. The second type of network is autoencoder based models. This type of model includes the variational autoencoder (VAE), beta-VAE and bounded information rate variational autoencoder (BIR-VAE). The encoders of these systems extract a low dimensionality representation. The classification is then performed on this so-called latent representation. Our experiments assess the performances of different models by evaluation metrics. The results show that CNN is the most promising classifier in our case, autoencoder-based models can successfully reconstruct the log-Mel spectrogram and the latent features learned by encoders are meaningful as classification can be achieved.

Microelectronics Colloquium

Artificial Retina: A Future Cellular-Resolution Brain-Machine Interface

Dante Muratore

A healthy retina transduces incoming visual stimuli into patterns of neural activity, which are then transmitted to the brain via the optic nerve. Degenerative diseases, like macular degeneration or retinitis pigmentosa, destroy the ability of the retina to transduce light, causing profound blindness. An artificial retina is a device that replaces the function of retinal circuitry lost to disease. Present-day devices can elicit visual percepts in patients, providing a proof of concept. However, the patterns of neural activity they produce are far from natural, and the visual sensations experienced by patients are coarse and of limited use to patients.

A main hurdle is that there are many types of cells in the retina. For example, some cells respond to increases of light intensity, while other cells respond to decreases of light intensity. In order to reproduce a meaningful neural code, it is crucial to respect the specificity and selectivity of these cells. Because cells of different types are intermixed in the circuitry of the retina, cell type specific activation of this kind requires that a future artificial retina be able to stimulate at single cell resolution, over a significant area in the central retina.

To achieve this goal, we are designing an epi-retinal interface that operates in two modes: calibration and runtime. During calibration, the interface learns which cells and which cell types are available for stimulation, by recording neural activity from the retina. During runtime, the interface stimulates the available cells to best approximate the desired scene. I will present a system architecture we are developing that can accomplish the overall performance goals, and the implications of this architecture for brain-machine interfaces.

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PhD Thesis Defence


Aydin Rajabzadeh

Compared to metals, composite materials offer higher stiffness, more resilience to corrosion, have lighter weights, and their mechanical properties can be tailored by their layup configuration. Despite these features, composite materials are susceptible to a diversity of damages, including matrix cracks, delamination, and fibre breakage. If these damages are not detected and mended, they can spread and result in the failure of the whole structure. In particular, when the structure is under fatigue and vibrations during flight, this process can expedite. Moreover, if such damages occur in the internal layers of the composite material, they will be difficult to detect and to characterise. There is thus a huge demand for reliable and accurate structural health monitoring methods to identify these defects. Such methods either try to monitor the structural integrity of the composite during service, or they are used for studying a desired configuration of a composite material during fatigue and tensile tests. This thesis provides structural health monitoring solutions that can potentially be used for both these categories. The structural health monitoring applications developed in this thesis range from accurate strain and displacement measurement, to detection of cracks and the identification of damages in composites.

In this thesis, fibre Bragg grating (FBG) sensors were chosen for this purpose. The miniature size and small diameter of these sensors makes them an ideal candidate for embedding them between composite layers, without severely altering the mechanical properties of the host composite material. They can thus provide us with direct information about the current state of the laminated composite, potentially at any depth. This is especially useful for acquiring information about the internal layers of the composite material, as barely visible impact damages and micro-cracks often form beneath the surface of the material without being visible on its exterior.

In spite of their interesting physical characteristics, applications of FBG sensors are typically limited to point strain or temperature sensors. Further, it is often assumed that the strain field along the sensor length is uniform. For this reason, there is currently a gap in the field of structural health monitoring in retrieving meaningful information about the non-uniform strain field to which the FBG sensor is subjected in damaged structures. The focus of this thesis is on analysing the response of FBG sensors to highly non-uniform strain fields, which are a characteristic of the existence of damage in composites.

To tackle this problem, first a new model for the analysis of FBG responses to nonuniform strain fields will be presented. Using this model, two algorithms are presented to accurately estimate the average of such non-uniform axial strain fields, which conventional strain estimation algorithms fail to deliver. In fact, it is shown that the state-of-the-art strain estimation methods using FBG sensors can lead to errors of up to a few thousand microstrains, and the presented algorithms in this thesis can compensate for such errors. It was also shown that these methods are robust against spectral noise from the interrogation system, which can pave the way for more affordable FBG based strain estimation solutions.

Another contribution of this thesis is the demonstration of two new algorithms for the detection of matrix cracks, and for accurate monitoring of the delamination growth in composites, using conventional FBG sensors. These algorithms are in particular useful for studying the mechanical behaviour of laminated composites in laboratory setups. For instance, the matrix crack detection algorithm is capable of characterising internal transverse cracks along the FBG length during tensile tests. Along the same lines, the delamination growth monitoring algorithm can accurately localise the delamination crack tip along the FBG length in mode-I tensile and fatigue tests. These algorithms can perform in real-time, which makes them ideal for dynamic measurement of crack propagation under fatigue, and their spatial resolution and accuracy is superior to the other state-of-the-art damage detection techniques.

Finally, to enhance the precision of the damage detection schemes presented in this thesis, two different methods are proposed to accurately determine the active gauge length of the FBG sensor, and its position along the optical fibre. This information is generally not provided for commercial FBG sensors with such accuracy, which can adversely affect the precision of crack tip localisation algorithms. Following the algorithms provided in this thesis, the sensor position can be marked on the optical fibre with micrometer accuracy.

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PhD Thesis Defence

MEMS Solutions For More Than Illumination

Xueming Li

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PhD Thesis Defence

From Silicon Toward Silicon Carbide Smart Integrated Sensors

Luke Middelburg

This PhD thesis focusses on the possibilities and challenges of the pathway from silicon toward silicon carbide smart integrated sensors. The research toward extended functionality of sensors in state-of-the-art silicon technology and the exploration of the application of wide-bandgap semiconductors can both be seen as realization of the More-than-Moore trend, described by diversification, the introduction of novel materials and integrated process development.
In this context, different types of sensors are developed, such a high-resolution gravimeter in silicon technology and different poly-SiC-based sensors such as a platform for an optical PM sensor and different pressure sensing structures. Additionally, a SiC CMOS chip is developed in collaboration with Fraunhofer IISB consisting of discrete electronic devices, resistive and capacitive read-out circuits and temperature sensors.

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Signal Processing Seminar

Intelligent X-ray sensing for real-time image guidance in proton therapy

Dennis Schaart
Applied Physics, TU Delft

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MSc ME Thesis Presentation

Design and Fabrication of Electrical Stimulation Setup for EHT platform

Androniki Diakou

The public presentation will be streamed online at this link.

MSc ME Thesis Presentation

Design, fabrication and characterisation of graphene nano-ribbons for Boolean gates logic

Teodor Nikolov

The public defence will be accessible via

MSc TC Thesis Presentation

Radar-based vital sign detection and indoor target localization algorithm development

Lin Wan
IMEC, Eindhoven.

The work is on radar-based vital sign detection and indoor target localization.

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MSc SS Thesis Presentation

Automatic Depth Matching for Petrophysical Borehole Logs

Aitor García Manso

In the oil and gas industry a crucial step for detecting and developing natural resources is to drill wells and measure miscellaneous properties along the well depth.  One important source of this disturbances is depth misalignment and in order to compare different  measurements care must be taken to ensure that all measurements (log curves) are properly positioned in depth. This process is called depth matching. In spite of multiple attempts for automating this process it is still mostly done manually.   

Based on the Parametric Time Warping (PTW), a parameterised warping function that warps one of the curves  is assumed and its parameters are determined by solving an optimization problem maximizing the cross-correlation between the two curves. The warping function is assumed to have the parametric form of a piecewise linear function in order to accommodate the linear shifts that take place during the measurement process. This method, combined with preprocessing techniques such as an offset correction and low pass filtering, gives a robust solution and can correctly align the most commonly accruing examples. Furthermore, the methodology is extended to depth match logs with severe distortion by applying the technique in an iterative fashion. Several examples are given when developed algorithm is tested on real log data supplemented with the analysis of the computational complexity this method has and the scalability to larger data sets.

MSc TC Thesis Presentation

Computationally Efficient Conical Horn Antenna Design

Tworit Dash

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MSc ME Thesis Presentation

Design and development of integrated displacement sensors for engineered heart tissue platforms

Mahdieh Shojaei Baghini

Under the current circumstances, the public defence will be held online. You can tune in at the following link:
Meeting ID: 918 9858 8409 Password: 1P0dZu

PhD Thesis Defence

Antenna Array Synthesis and Beamforming for 5G Applications: An Interdisciplinary Approach

Yanki Aslan

Realization of the future 5G systems requires the design of novel mm-wave base station antenna systems that are capable of generating multiple beams with low mutual interference, while serving multiple users simultaneously using the same frequency band. Besides, small wavelengths and high packaging densities of front-ends lead to overheating of such systems, which prevents safe and reliable operation. Since the strict cost and energy requirements of the first phase 5G systems favor the use of low complexity beamforming architectures, computationally efficient signal processing techniques and fully passive cooling strategies, it is a major challenge for the antenna community to design multibeam antenna topologies and front-ends with enhanced spatial multiplexing, limited inter-beam interference, acceptable implementation complexity, suitable processing burden, and natural-only/radiative cooling.Traditionally, array design has been performed based on satisfying the given criteria solely on the radiation patterns (gain, side lobe level (SLL), beamwidth etc.). However, in addition to the electromagnetic aspects, multi-beam antenna synthesis and performance evaluation in 5G systems at mm-waves must combine different disciplines, including but not limited to, signal processing, front-end circuitry design, thermal management, channel & propagation, and medium access control aspects. Considering the interdisciplinary nature of the problem, the main objective of this research is to develop, evaluate and verify innovative multibeam array techniques and solutions for 5G base station antennas, not yet used nor proposed for mobile communications. The research topics include the investigation of (i) new array topologies, compatible with IC passive cooling, including sparse, space tapered arrays and optimized subarrays, meeting key requirements of 3-D multi-user coverage with frequency re-use and power-efficient side-lobe control, (ii) adaptive multiple beamforming strategies and digital signal processing algorithms, tailored to these new topologies, and (iii) lowcost/competitive and sufficiently generic implementation of the above array topologies and multi-beam generation concepts to serve multiple users with the same antenna(s) with the best spectrum and power efficiencies. This doctoral thesis consists of three parts. Part I focuses on the system-driven aspects which cover the system modeling (including the link budget and precoding), propagation in mm-wave channels and statistical assessment of the Quality of Service (QoS). Although separate comprehensive studies exist both in the field of propagation/system modeling and antennas/beamforming, the link between the two disciplines is still weak. In this part, the aim of the study is to bridge the gap between the two domains and to identify the trade-offs between the complexity of beamforming, the QoS, and the computational cost of precoding in the 5G multi-beam base station arrays for various use cases. Based on the system model developed, a novel quantitative relation between the antenna SLLs/pattern nulls and the statistical QoS is established in a line-of-sight (LoS) dominated mm-wave propagation scenario. Moreover, the potential of using smart (low in-sector side-lobe) array layouts (with simple beam steering) in obtaining sufficiently high and robust QoS, while achieving the optimally low processing costs is highlighted. For a possible pure non-line-of-sight (NLoS) scenario, the system advantages (in terms of the beamforming complexity and the interference level) of creating a single, directive beam towards the strongest multipath component of a user are explained via ray-tracing based propagation simulations. The insightful system observations from Part I lead to several fundamental research questions: Could we simplify the multiple beamforming architecture while keeping a satisfying QoS? Are there any efficient yet effective alternative interference suppression methods to further improve the QoS? How should we deal with the large heat generation at the base station? These questions, together with the research objectives, form the basis for the studies performed in the remaining parts. Part II of the thesis focuses on the electromagnetism-driven aspects which include innovative, low-complexity subarray based multibeam architectures and new array optimization strategies for effective SLL suppression. The currently proposed multi-beam 5G base stations in the literature for beamforming complexity reduction use either a hybrid array of phased subarrays, which limits the field-of-view significantly, or employ a fully-connected analog structure, which increases the hardware requirements remarkably. Therefore, in the first half of this part, the aim is to design low-complexity hybrid (or hybrid-like) multiple beamforming topologies with a wide angular coverage. For this purpose, two new subarray based multiple beamforming concepts are proposed: (i) a hybrid array of active multiport subarrays with several digitally controlled Butler Matrix beams and (ii) an array of cosecant subarrays with a fixed cosecant shaped beam in elevation and digital beamforming in azimuth. Using the active (but not phased) multiport subarrays, the angular sector coverage is widened as compared to that of a hybrid array of phased subarrays, the system complexity is decreased as compared to that of a hybrid structure with a fully-connected analog network, and the effort in digital signal processing is reduced greatly. The cosecant subarray beamforming, on the other hand, is shown to be extremely efficient in serving multiple simultaneous co-frequency users in the case of a fairness-motivated LoS communication thanks to its low complexity and power equalization capability. Another critical issue with the currently proposed 5G antennas is the large inter-user interference caused by the high average SLL of the regular, periodic arrays. Therefore, in the second half of Part II, the aim is to develop computationally and power-efficient SLL suppression techniques that are compatible with the 5G’s multibeam nature in a wide angular sector. To achieve this, two novel techniques (based on iterative parameter perturbations) are proposed: (i) a phase-only control technique and (ii) a position-only control technique. The phase-only technique provides peak SLL minimization and simultaneous pattern nulling, which is more effective than the available phase tapering methods in the literature. The position-only technique, on the other hand, yields uniform-amplitude, (fully-aperiodic and quasi-modular) irregular planar phased arrays with simultaneous multibeam optimization. The latter technique combines interference-awareness (via multibeam SLL minimization in a predefined cell sector) and thermal-awareness (via uniform amplitudes and minimum element spacing constraint) for the first time in an efficient and easy-to-solve optimization algorithm. Part III of the thesis concentrates on the thermal-driven aspects which cover the thermal system modeling of electronics, passive cooling at the base stations, and the role of antenna researchers in array cooling. The major aim here is to form a novel connection between the antenna system design and thermal management, which is not yet widely discussed in the literature. In this part, an efficient thermal system model is developed to perform the thermal simulations. To effectively address the challenge of thermal management at the base stations, fanless CPU heatsinks are exploited for the first time for fully-passive and low-cost cooling of the active integrated antennas. To reduce the size of the heatsinks and ease the thermal problem, novel planar antenna design methodologies are also proposed. In the case of having a low thermal conductivity board, using a sparse irregular antenna array with a large inter-element spacing (such as a sunflower array) is suggested. Alternatively, for the densely packed arrays, increasing the equivalent substrate conductivity by using thick ground planes and simultaneously enlarging the substrate dimensions is proven to be useful. The performed research presents the first-ever irregular/sparse and subarray based antennas with wide scan multi-beam capability, low temperature, high-efficiency power amplifiers, and low level of side lobes. The developed antenna arrays and beam generation concepts could have also an impact over a broad range of applications where they should help overcome the capacity problem by use of multiple adaptive antennas, improve reliability and reduce interference.

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MSc ME Thesis Presentation

Experimental study on electromigration by using Blech structure

Yaqian Zhang

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MSc TC Thesis Presentation

Vital Signs Monitoring Using Doppler Signal Decomposition

Yuqing Li

There is an ever-growing demand for vital signs monitoring for a variety of occasions. Non-contact vital signs monitoring can be achieved by detecting the displacement of the human chest using Doppler radar. This method is non-invasive, environment-independent, and suitable for long-term monitoring. However, the real-time detection of cardiopulmonary parameters extraction with radar needs to address the challenges of the limited time duration of the signal for the extraction of cardiopulmonary signals, accuracy of vital signs parameters estimation, and signal processing algorithm complexity. Here we show that empirical and variational signal decomposition methods can be performed to extract respiration and heartbeat signals in the radar system. Hilbert-Huang transform is applied in conjunction with the signal decomposition methods to display the time-frequency-energy distribution of decomposed signals, thus the instantaneous frequencies and amplitudes of vital signs can be obtained. Besides, online signal decomposition approaches are illustrated to achieve the dynamic estimation of vital signs from the radar data stream. The results of our experimental verification demonstrate that Online-VMD has an accuracy of 99.56% and a variance of estimated frequencies of 1.81 x 10−3 when it is applied in FMCW radar system, providing a reliable, accurate and real-time parameter estimation results in vital signs monitoring.

SSCS WYE Webinar

To Academia, or to Industry, That is the Question.

Kofi Makinwa, Shin-Lien Lu


You are about to finish graduate school or perhaps a young or seasoned professional, contemplating a career transition. Which is better - a career in academia or industry? What are the pros and cons of one versus the other? How can you start exploring and build up your career accordingly? In this webinar, we will interview Dr. Linus Lu, a professor-turned-industry veteran, and Prof. Kofi Makinwa, an industry veteran-turned-professor, who will share their insights and perspectives from their personal journeys in both academia and industry careers. They will also address what triggered their transitions, how they staged their transitions, and offer their crystal ball projections on present and future career prospects in the solid-state-circuits profession.


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MSc SS Thesis Presentation

Multi-target Detection and Tracking with 8 GHz FMCW Radar System

Siyan Wan

Currently, most of FMCW radar systems for target detection and localization are based on the radar system with multiple receiving antennas, but little based on the SISO system. In this project, we will show a unique signal processing pipeline based on the 8 GHz SISO FMCW radar system.  An advanced algorithm of multi-target detection and tracking will be designed to monitor the range, angle, and Doppler velocity information of targets.

MSc thesis Defence

Design of a valveless organ-on-chip micropump

Suzanne Onderdelinden

PhD Thesis Defence

Design, Fabrication and Characterizations of AlGan/Gan Heterostructure Sensors

Jianwen Sun

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