news and agenda archive

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.

More information

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 Parkinsons, 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 patients 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 radars performance under the prevailing conditions. The atmosphere can significantly alter the radars 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 worlds 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 (M00SM10) 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 worlds 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

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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 gemplanteerd 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 stimulatiescenarios 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-efficinte 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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Ph.D Student Miss. 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

The winner Daniele Raiteri, photo: Thijs ter Hart

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 Raiteris 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 flys 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 Theuwissens 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 IEEEs IEDM, ISSCC, ICIP and SPIEs 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

Cover of VN, Aug. 2, 2014

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 IEEEs 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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Chinese publisher will publish book by Sandro Haddad and Wouter Serdijn in Chinese

Xi'an Jiaotong University Press will publish the Springer book of Sandro Haddad and Wouter Serdijn, entitled "Ultra Low-Power Biomedical Signal Processing, an Analog Wavelet Filter Approach for Pacemakers" in Chinese

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


Microelectronics Colloquium

Microelectronics Department Colloquium

Daniele Cavallo, Vasiliki Giagka, Fabio Sebastiano, Rob Remis

On Wednesday March 15 the next Microelectronics colloquium wil take place, including four lectures by staff members.

Please register online by completing the form.

  • Vasso Giagka
    Flexible bioelectronic medicines

    Abstract: Bioelectronic medicines are the next generation of neuromodulation devices: small active three-dimensional neural interfaces able to modulate nerve activity by targeting a specific neural region. They aim to treat a number of conditions, such as diabetes and asthma, in a tailored (per individual) and reversible fashion, avoiding the side effects of conventional drug-based interventions (pharmaceuticals). They achieve so by recording signals from the respective nerves, extracting information and using it as feedback to electrically stimulate the neural region in a closed-loop manner.

    Current technologies for active implants have not yet managed to achieve the miniaturisation and integration levels required for the development of bioelectronic medicines. For such breakthrough devices, novel concepts need to be explored, developed, and tested.

    In this talk I will present my current activities as well as my vision on realizing the first flexible three-dimensional graphene active implant, for safe chronic neural stimulation and recording from the peripheral nerves.

  • Fabio Sebastiano
    Cryo-CMOS for Quantum Computing: does it work?

    Quantum computing holds the promise to change our lives by efficiently solving computing problems that are intractable today, such as simulation of quantum systems for synthesis of materials and drugs. A quantum computer comprises both a quantum processor and a classical electronic controller to operate and read out the quantum devices. The quantum processor must be cooled at cryogenic temperature in order to show quantum behavior, thus making it unfeasible to wire thousands of signals from the cryogenic quantum devices to a room-temperature controller.

    While this issue can be solved by placing also the electronic controller at cryogen¬ic temperature, which electronic technology is the best choice for its implementation? This talk will address the challenges of building such electronic controller, and answer whether a standard CMOS technology can be employed for the required analog and digital circuits operating at 4 K and below.

  • Daniele Cavallo
    Advanced Antenna Arrays for Modern Radar and Communication Systems

    Abstract: Several of today’s radar and wireless communication applications are shifting their operation to higher frequency to fulfil more demanding requirements on resolution, compactness and data rates. For this reason, there is a growing need to develop low-cost integrated circuit transceivers working at millimeter and sub-millimeter waves.

    However, on-chip antennas are currently characterized by very poor radiation efficiency and extremely narrow bandwidth. My approach of combining the concepts of connected arrays with artificial dielectrics will solve the inefficiency problem and enable high-efficiency on-chip antenna designs.

    Similar concepts can be also realized at microwave frequencies in printed circuit board, allowing for low-cost phased array antennas with state-of-the-art performance in terms of scan range, bandwidth and polarization purity.

  • Rob Remis
    Imaging with Waves

    We present an overview of our current wave field imaging and inversion research. Effective inversion strategies for important applications in Magnetic Resonance Imaging (MRI), nano-optics, and subsurface monitoring will be discussed. In particular, dielectric shimming (shaping of the radio frequency field in MRI) as well as inversion algorithms that determine the dielectric properties of various tissue types based on measured MRI data will be considered, and state-of-the-art model-order reduction techniques for large-scale wave propagation problems will be discussed as well.

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    Inverse Problems in Electromangetics

    Challenges and New Frontiers

    IEEE AP-Sdistinguished Professor Andrea lecturer: MASSA
    University of Trento and Director Eledia Research Center

    Inverse problems arise when formulating and addressing many synthesis and sensing applications in modern electromagnetic engineering. Indeed, the objective of antenna design, microwave imaging, and radar remote sensing can be seen as that of retrieving a physical quantity (the shape of the radiating system, the dielectric profile of a device under test, the reflectivity of an area) starting from (either measured or “desired”) electromagnetic field data. Nevertheless, the solution of the well‐known theoretical features (including ill‐posedness, non‐uniqueness, ill‐conditioning, etc.) of electromagnetic inverse problems still represents a major challenge from the practical viewpoint. Indeed, developing and implementing robust, fast, effective, and general‐purpose techniques able to solve arbitrary electromagnetic inverse problem still represent a holy grail from the academic and industrial viewpoint. Accordingly, several ad‐hoc solutions (i.e., effective only for specific application domains) have been developed in the recent years

    In this framework, one of the most important research frontiers is the development of inversion techniques which enable the exploitation of both the information coming from the electromagnetic data and of that which is provided by prior knowledge of the scenario, application, or device of interest. Indeed, exploiting a‐priori information to regularize the problem formulation is known to be a key asset to reduce the drawbacks of inversion processes (i.e., the its ill‐posedness). However, properly introducing prior knowledge within an inversion technique is an extremely complex task, and suitable solutions are available only for specific classes of scenarios (e.g., comprising sparseness regularization terms).The aim of this talk is to provide a broad review of the current trends and objectives in the development of innovative inversion methodologies and algorithms. Towards this end, after a review of the literature on the topic, different classes of methodologies aimed at combining prior and acquired information (possibly in an iterative fashion) will be discussed, and guidelines on how to apply the arising strategies to different domains will be provided, along with numerical/experimental results. The open challenges and future trends of the research will be discussed as well

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    MS3 seminar

    Capabilities and Research Activities at the University of Oklahoma Advanced Radar Research Center

    Prof. Nathan A. Goodman
    The Advanced Radar Research Center (ARRC) at the University of Oklahoma

    The Advanced Radar Research Center (ARRC) at the University of Oklahoma consists of a vibrant group of faculty and students from both engineering and meteorology, focused on solving challenging radar problems and preparing the next generation of students. Through the collaborative nature instilled in its members, the ARRC has proven effective at developing synergy between science and engineering in the field of radar. The ARRC resides in state-of-art Radar Innovations Laboratory, a one-of-a-kind and unrivalled facility for radar research, development, and education. This 35,000-sqft facility includes microwave labs, advanced fabrication capability, and two anechoic chambers.

    Bio Prof. Goodman: Nathan A. Goodman received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Kansas, Lawrence, in 1995, 1997, and 2002, respectively. From 1996 to 1998, he was an RF systems engineer for Texas Instruments, Dallas, TX., and from 2002 to 2011, he was a faculty member in the ECE Department of the University of Arizona, Tucson. He is now a Professor in the School of Electrical and Computer Engineering and Director of Research for the Advanced Radar Research Center at the University of Oklahoma, Norman.

    MS3 seminar

    MS3 Master Event

    Come to learn about our group and current Master Thesis Projects...

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    Terahertz Sensing group seminar

    Design of mm-wave, multifunction ICs for data communication and remote sensing

    Prof. Herbert Zirath
    Chalmers University of Technology

    FLYER OF THE SEMINAR___________
    The transmission rate of wireless data in the mobile networks is doubling every year due to the increased usage of mobile multimedia services like streaming video, music, television, data transfer in smartphones and laptop-computers etc. This tendency will require continuously improved telecom infrastructure regarding both base-stations and the backhaul communication links. Today, the E-band (71-76, 81-86, 92-95 GHz) is employed increasingly in the networks, allowing multi Gbps data rate. In a near future however, the E-band will be crowded, and novel, higher frequency bands will have to be employed as well. Several hundred Gigahertz bandwidth is available for new communication and sensing applications just waiting to be exploited at frequencies above 100 GHz. Until now, components for making such ‘THz-systems’ have been too expensive, too bulky, too power hungry and nonsufficient in terms of generating enough power for communication systems. With newly developed RFIC-processes, it is now possible to design multifunctional integrated circuits, realizing a full ‘frontend on a chip’ at frequencies well beyond 100 GHz. Recent results from ongoing projects aiming at enabling new applications for next generation mobile infrastructure, 5G, and security imaging, up to 340 GHz will be reported. So far, critical building blocks such as LNA, PA, VCO, modulator and demodulator, frequency multiplier, power detector and mixer have recently been developed, and results will be reported. Multifunction front-end circuits such as complete receive and transmit RFICs, mixed signal designs for co-integrated baseband/frontend ICs, and radiometer ICs have also been developed and will be reported as well, including the newly developed D-band (110 to 170 GHz) frontend chipset demonstrating state-of-the-art bitrate of beyond 40 Gbps.

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    MSc SS Thesis Presentation

    Enhancement of the Spatial Resolution for the Temperature Sensing System of the 7 Tesla Magnetic Resonance Imaging Scanner

    Tariq Saboerali

    The MRI scanner with an ultrahigh magnetic field of 7T not only increases the image resolution but it also increases the Specific Absorption Rate (SAR) of the patient. In other words, the body temperature of the patient increases due to the absorption of heat produced by the 7T MRI scanner. This is dangerous for the health of the patient. In order to ensure that the SAR level of the patient does not exceed the acceptable limit, the body temperature of the patient should be monitored during the scan with a spatial resolution as small as possible. This way safety measures can be taken immediately if the body temperature increases. In order to monitor the temperature during the MRI scan, fiber optic sensors (FOS) can be used. The fiber optic sensors (FOS) are immune from electromagnetic interference and there is no electrical connection to the patient and thus it is safe to monitor the temperature during an MRI scan by using FOS [1]. However, the FOS may have a spatial resolution which is not acceptable for medical purposes. This study focuses on methods to increase the spatial resolution of an existing fiber optic temperature sensing system of a 7T MRI scanner. To increase the spatial resolution of the existing temperature sensing system two methods are evaluated, namely the total variation deconvolution method and the blind deconvolution method. This study shows that the total variation deconvolution method gives the best results for the input temperature estimate. The blind deconvolution method strongly depends on the initial guess of the impulse response of the temperature sensing system, which is difficult to find. Therefore the results of the input temperature and the impulse response are less reliable when using the blind deconvolution method. Also it is shown that the machine resolution gets worse when increasing the spatial resolution by interpolating the input temperature in the Fourier domain.

    Non-instrusive near-field characterization of Microwave circuits and devices

    Rui Hou

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    PhD Thesis Defence

    Monolithic 3D Wafer Level Integration Applied for Smart LED Wafer Level Packaging

    Zahra Kolahdouz Esfahani

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    Signal Processing Seminar

    Transmitter and Receiver Optimization for MIMO Radar Systems

    Tuomas Aittomaki
    Aalto University, Finland

    The spatial and waveform diversity achieved in MIMO radars can be beneficial for target detection and target parameter estimation, especially for low-observability targets. Taking advantage of the diversity requires optimization of both the transmitter and the receiver end. For the transmitter, it is necessary to encode the transmitted waveforms to have minimal sidelobe and cross-correlation levels. Also by appropriate spatial coding, the channel estimation error can be reduced. Furthermore, the transmit power allocation can be optimized. For the receivers, mismatched filters can be optimized to reduce jamming and clutter as well as the sidelobe and the cross-correlation levels for any Doppler frequency.

    PhD Thesis Defence

    Radar networks performance analysis and topology optimization

    Inna Ivashko

    Inna Ivashko succesfully defended her defence on December 13th.

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    MSc CE Thesis Presentation

    A Real-Time Hybrid Neuron Network for Highly Parallel Cognitive Systems

    G.J. Christiaanse

    For comprehensive understanding of how neurons communicate with each other, new tools need to be developed that can accurately reproduce and mimic the behaviour of such neurons in real-time. By using current complex mathematical models, simulated neurons are able to accurately approximate the behaviour of biological neural tissue. This comes at the price of computing complexity, resulting in responses that lag behind, and thus cannot interface with biological neurons.

    The proposed design in this thesis, models an Inferior Olivary Nucleus network on an FPGA device, with a maximised amount of simulated neurons for the given FPGA family type. To achieve both accuracy and real-time speed, a complex biophysically meaningful mathematical model has been analysed and scheduled on a highly pipelined, and parallel running architecture design, specified within a SystemC specification. This has contributed to the creation of hybrid neuron network that executes optimally scheduled floating-point operations that, together with open source IP, has resulted in cost-effective solutions, capable of simulating responses faster or on par with their biological counterparts.

    Microelectronics Introduction Colloquium

    Introduction 3 new Tenure Trackers

    Masoud Babaie, Morteza Alavi, Faruk Uysal

    On December 12 we organize the next Microelectronics Colloquium to introduce three new Assistant Professors (Tenure Trackers) of the Microelectronics department. They are happy to present a lecture about their research.

    The colloquium start at 15.00 hrs. there will be a drink afterwards in the foyer.
    Location: Theatre of Culture Builing (38) Mekelweg 10.
    Please register online if you want to attend, latest December 5.

    • Masoud Babaie: Pushing The Limits of CMOS Circuits for Emerging Technologies
      Within the next few years, quantum processors, Fifth Generation (5G) cellular systems and the wireless Internet-of-Things (IoT) are expected to see significant deployment to realize more integration between the physical and digital worlds, promising enormous computation power, high data rate communications and enabling more objects to be remotely sensed and controlled.

      This talk will address some of the main challenges in the design and implementation of IoT devices, mm-wave 5G transceivers, and cryogenic CMOS controller for quantum computers. An overview of my past and ongoing research activities will be also presented, with emphasis on novel solutions to improve power efficiency and spectral purity of RF/mm-wave transceivers.

    • Morteza Alavi: Universal Transmitters for 5G
      Today, our daily activities are intertwined with the Internet. The ever-growing demand to swiftly get access to the data-cloud systems leads to huge data traffic. In order to seamlessly transmit and receive these gigantic data, _ 40 GB, agile radio-frequency (RF) transceivers are inevitable.

      These radios must be capable of supporting the current and future communication standards such as 5th generation of wireless mobile communications. The ultimate goal is that they can be implemented as universal radios whose modes of operation can be defined by their clients. To address these demands, RF transmitters are currently reinvented and are directed towards digital-intensive architecture. In this short presentation, we will briefly describe the strengths,possibilities, and challenges that exist for these advanced transmitters. First and foremost, the concept of RF-DAC based transmitters will be introduced. Next, the talk will review various RF-DAC based transmitters that have already been implemented at ELCA. Eventually, the presentation will concisely unveil the future directions of the research of these software-defined transmitters at ELCA.

    • Faruk Uysal: Distributed Radar Networks: Beyond a single radar
      The number of operational radar is rapidly increasing due to the growing demand of the remote sensing. Software defined radio and emerging single-chip radar technology make use of radars in every aspect of life such as autonomous driving, safety and security applications. With the increase of active transmitters, spectrum management and coexistence started to become a concern for some radar systems. In this talk, the previous applications of waveform, frequency agility will be reviewed to bring multi-functionality to the modern radar system. Finally, we will discuss the future research for distributed radar networks and how to fuse data from various radars to acquire different aspects of a target to be viewed simultaneously.

    MSc BME Thesis Presentation

    Wireless Power Transfer and Optogenetic Stimulation of Freely Moving Rodents

    Farnaz Nassiri Nia

    Animal studies are commonly used to test the feasibility and effectiveness of promising novel neuroscience research ideas. One such new technique is optogenetic stimulation, which refers to stimulation of the brain by means of light. Current optogenetic stimulation methods use tethered setups and, typically, the animal-under-study is put into a fixed position. This introduces stress, an obvious reduction in animal welfare, and may thus influence the experimental results. Hence, an untethered setup is highly desirable. Therefore, in this thesis, we propose a complete wireless optogenetic stimulation setup, which allows for full freedom of movement for multiple rodents-under-study in a 40x40x20 cm environment.

    This thesis includes a thorough design space exploration and the subsequent development of: an inductive wireless link, a wireless receiver module that resides on the animal, and novel micro-LED array implants.

    Signal Processing Seminar

    Jiani Liu

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    PhD Thesis Defence Mina Shahmohammadi

    RF CMOS Oscillator for Cellular Applications

    Mina Shahmohammadi

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    Signal Processing Seminar

    Accurate ranging and localization capabilities of narrowband ISM band radios

    Jac Romme

    In this presentation, the results are presented of a feasibility study on the ranging and localization capabilities of narrowband radio. Starting point of the study was the phase-difference (PD) principle used by Atmel’s AVR2151 chipset. To quantify the ranging performance in indoor environment, multi-channel VNA-based channel measurements have been conducted. The analyses revealed that PD principle is sensitive to multipath, even in the presence of a line-of-sight. To improve the accuracy, two super-resolution-based ranging algorithms (using Matrix-Pencil and Music) have been evaluated, which are shown to be considerably more robust against multipath. Additionally, the channel measurements have been used to quantify the benefit of antenna/polarization diversity for ranging. The diversity gave an additional, significant improvement and resulted in ranging with 0.5 meter accuracy in combination with the super-resolution algorithms using only the 2.4 GHz ISM band.

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    PhD Thesis Defence Andre Mansano

    Radio Frequency Energy Harvesting and Low Power Data Transmission for Asynchronous Wireless Sensor Nodes

    Andre Luis Mansano


    Since the Internet of Things (IoT) is expected to be the new technology to drive the semiconductor industry, significant research efforts have been made to develop new circuit and system techniques for autonomous/very low-power operation of wireless sensor nodes. Very low-power consumption of sensors is key to increase battery lifetime or allow for battery-less (autonomous) operation of sensors, which contributes to reducing or preventing the high maintenance costs of battery supplied sensors and reduce the amount of discarded batteries.

    This thesis, entitled Radio Frequency Energy Harvesting and Low Power Data Transmission for Autonomous Wireless Sensor Nodes, presents very low-power consumption circuit and system techniques combined with energy harvesting that allow the creation of autonomous wireless sensor nodes. This work focuses on three main challenges:
    1) how to improve energy harvesting efficiency,
    2) how to minimize power consumption of data transmission and
    3) howto combine low-power techniques and energy harvesting in a system.
    These challenges are addressed in this thesis with on-PCB and integrated circuit (IC) solutions.

    The efficiency of radio frequency (RF) energy harvesting is improved by proposing a new topology of a charge-pump rectifier. The proposed topology uses a voltage boosting network to compensate for the voltage drop in the transistors. The new topology is presented as well as a non-linear circuit analytical analysis. Simulation results are compared to the analytical analysis and measurement results of the circuit that has been fabricated in a 0.18 um CMOS technology and operates at 13.53 MHz. Although the efficiency of RF energy harvesting is improved using the above technique, at the same time, low power techniques in data transmission should be developed to save energy. Pulse width modulation and impulse transmission techniques to minimize power consumption have been developed and are presented in this thesis.

    The developed pulse modulation circuitry has been fabricated in 0.18 um CMOS technology as part of a System on Chip (SoC). The new impulse transmitter topology for low-voltage low-power operation has been fabricated on PCB with micro-wave discrete components. Theoretical analysis, simulations and measurements results are shown to prove the impulse transmitter concept.

    The circuits developed are integrated in a SoC with energy harvesting to prove the concept of autonomous wireless sensor nodes. Two sensor nodes have been designed and measured: one for autonomous temperature monitoring and the second for autonomous ECG monitoring. Both designs operate from wireless power without the use of batteries.

    Finally, the work developed in this thesis is analyzed and future research possibilities are discussed.

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    PhD Thesis Defence

    Gigabit Wireless Transmission in Dispersive Environments

    Seyran Khademi

    The advent of the digital era has revolutionized many aspect of our society and has significantly improved the quality of our lives. Consequently, signal processing has gained a considerable attention as the science behind the digital life. Among different applications for signal processing theory and algorithms, wireless communications remains one of the attractive and popular ones due to the widespread use of mobile devices.

    This thesis is dedicated to develop signal processing algorithms to design highspeed wireless transceivers that can perform in highly reflective and harsh environments. The start of this research work initiated as a collaboration between TU Delft and an industrial partner, on a research aimed at short range gigabit wireless link within a lithography machine. The underlying unique wireless environment, together with the challenging specifications of the communication link for mechatronic systems, made this a compelling research project.

    The first part of this research work focuses on constructing a reliable propagation model for dispersive environments, based on actual measurements. In our opinion it is crucial to have decent models to build effective theory and applications upon it. We developed a statistical channel model for the 60 GHz band for the extreme case of a confined metal enclosure in order to evaluate and test the existing signal processing algorithms under such pessimistic ambient conditions. This unique experiment opened up new research challenges to look back to popular design paradigms and reevaluate them with respect to the proposed channel model with a delay spread in the order of miliseconds. The concept of orthogonal frequency division multiplexing (OFDM) transmission was revisited and a customized OFDM system was designed which meets the data rate requirements of the mechatronic system of interest. The effectiveness of the proposed OFDM design was examined via Matlab simulations using the measured and modeled channels. Interestingly, the performance of the OFDM system is not heavily affected by the frequency selectivity of the extreme propagation environment. The loss is mainly due to the time guard that is dedicated to avoid interference between consecutive OFDM blocks, suggesting the use of longer OFDM blocks to minimize the bandwidth loss.

    The second part of this thesis is dedicated to multiple-input multiple-output (MIMO) systems versus the single-input single-output (SISO) system which was studied in the first part. The emphasis is on general challenges in high speed (wideband) communication systems rather than the specific wireless link within a mechatronic machine. Challenging research questions are posed regarding the design and implementation of MIMO systems. This part starts with a brief introduction to such systems and redefining our system model with respect to the MIMO setting and it continues by revisiting the timely problem of peak-to-average power-ratio (PAPR) reduction in OFDMsystems, which deals with stochastic (data-dependent) OFDM waveforms, and the proposal of an effective algorithm to handle this challenge within the MIMO context . The hard problem of antenna selection for MIMO system was considered at the end by investigating different linear precoding designs subject to the realistic hardware constraints including per antenna power constraints (rather than conventional total power constraint) and limited number of RF chains.

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    MSc ME Thesis Presentation

    A 0.6V Low Noise Current Generator for Bio-Impedance Measurements in 40nm CMOS

    Yao Li

    Signal Processing Seminar

    Bilinear Inverse Problems: Bad News and Good News

    Urbashi Mitra
    University of Southern California, USA

    A number of important inverse problems in signal processing, such as blind deconvolution, matrix factorization, dictionary learning and blind source separation share the common characteristic of being bilinear inverse problems. In such problems, the observation model is a function of two inputs and conditioned on one input being known, the observation is a linear function of the other. We will review important applications and challenges.

    A key question is that of identifiability: can one unambiguously recover the pair of inputs from the output? We shall consider both deterministic conditions for identifiability as well as probabilistic statements that result in new scaling laws under cone constraints. We provide additional results specific to blind deconvolution and show, surprisingly, that adding the sparsity structural constraint is insufficient for signal identifiability suggesting that other strategies such as coding are necessary to achieve identifiability. However, there is hope that additional structure can help in certain cases. To this end, we discuss a novel strategy that exploits low rank matrix factorization to estimate parameters of a time-varying wireless channel.


    Urbashi Mitra received the B.S. and the M.S. degrees from the University of California at Berkeley and his Ph.D. from Princeton University. Dr. Mitra is currently a Dean’s Professor of Electrical Engineering at the University of Southern California.

    Dr. Mitra is a Fellow of the IEEE. She is the inaugural Editor-in-Chief for the IEEE Transactions on Molecular, Biological and Multi-scale Communications. She is a member of the IEEE Information Theory Society's Board of Governors (2002-2007, 2012-2017) and the IEEE Signal Processing Society’s Technical Committee on Signal Processing for Communications and Networks (2012-2016).

    Her research interests are in: wireless communications, communication and sensor networks, biological communication systems, detection and estimation and the interface of communication, sensing and control.

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    PhD Thesis Defence

    Energy-Efficient Smart Temperature Sensors in CMOS Technology

    Kamran Souri

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    MSc SS Thesis Presentation

    Three dimensional Contrast Source Inversion-Electrical Properties Tomography (3D CSI-EPT)

    Reijer Leijsen

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    PhD Thesis Defence

    Relative Space-Time Kinematics Of an Anchorless Network

    Raj Thilak Rajan

    Space and time awareness has been an integral quest of human evolution, and more so in the currently burgeoning era of wireless sensor networks (WSN), internet of things (IoT) and big data. The rapid advances in technology in recent times has led to affordable, miniaturized and low-power sensor nodes, enabling the feasibility of networks with numerous nodes. These nodes are typically equipped with diverse portfolio of sensors to measure various physical phenomenon, which are cooperatively communicated and processed for appropriate statistical inference. To ensure coherent sampling, efficient communication and prudent inference, the knowledge of position and time of the sampled data is imperative, and consequently accurate space-time estimation of the nodes is as valuable as the sampled data itself.

    In this dissertation we address the space-time estimation of a specific class of WSNs, namely an anchorless network of asynchronous mobile nodes. As the terminology suggests, we consider a network of mobile nodes under non-relativistic motion, whose space-time kinematics are to be estimated. In addition, the term anchorless indicates no apriori information on the absolute position or time of any node within the network. This approach is a stark contrast to conventional anchored scenarios, e.g., GPS-based localization, where absolute space-time reference is known. Anchorless networks arise naturally when deployed in inaccessible regions, where an absolute space-time reference is non-existent or only intermittently available. Moreover, when a swarm of nodes is considered, imparting the absolute reference to all the nodes could be limited by communication resources. A few application scenarios include, for example, indoor localization, underwater networks, drone swarms and space-based satellite arrays. In such anchorless networks, it is paramount to understand the relative space-time kinematics, which is the primary theme of this dissertation.

    Unfortunately, our understanding of relative kinematics in Euclidean space is inherently dependent on an absolute reference. For instance, consider the first-order relative spatial kinematics, i.e., relative velocity, which is rightly defined as the vector difference between absolute velocities of the respective nodes. However, in the absence of apriori information on any absolute velocities, a natural question arises if these relative velocities can be estimated using only pairwise distance measurements between the nodes. In addition to relative spatial estimation, the asynchronous clocks on-board each of these nodes must also be synchronized, in the absence of a known absolute time-reference. These are some of the fundamental challenges which are addressed in this dissertation.

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    MSc ME Thesis Presentation

    Structured electronic design of high-pass ΣΔ converters and its application to cardiac signal acquisition

    Samprajani Rout


    With the bandwidth of the ECG signal extending from sub-Hz to 200 Hz, a major challenge in developing the analog front-end responsible for digitizing the analog signal for an ECG readout system lies in implementing the large time-constants on chip due to area constraints. While techniques to obtain very large time constants exist, they are heavily limited by both linearity and accuracy, which clearly dictates the need for alternative structures.

    In this thesis, a ΣΔ converter is used for its noise-shaping property to digitize the acquired signal. A structured electronic design methodology based on state-space forms is proposed to develop high-pass (HP) ΣΔ converter topologies. As opposed to conventional low-pass or band-pass ΣΔ, a generalized signal transfer function which includes the high-pass characteristic is used. The proposed HP ΣΔ topologies satisfy the signal transfer function, which is high-pass characteristic in this application and the noise transfer function, which is a 2-nd order noise shaping in this case. Furthermore, the noise contribution of each of the integrators is evaluated and the topologies are compared in terms of their total noise contribution. Finally, one of the structures is implemented in 0.18 um technology as a final step of verification.

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    MSc BME Thesis Presentation

    aEEG analog front-end IC for neonatal brain development monitoring

    Maciej Kostalkowski


    Every year number of prematurely born infants grows. Most underdeveloped organ after birth is brain. Therefore its monitoring is very important, especially as it can provide indications about health state in a future, both short and long term. Non invasive method of brain monitoring is aEEG recording.

    Although aEEG is already well known and accepted in neonatology, it is still not used to monitor every patient. Problem is high price of a device starting from 30000 euro. In a result, hospital is not able to provide proper monitoring for each and every patient. For this reason, main task of this thesis is to propose cheaper version of a system.

    In order to propose cheap design, minimal requirements have to be specified. Two tests were performed. First one was to identify interferences disturbing aEEG recording. Only registered interference was 50Hz spike coming from the mains. Noise floor peak to peak amplitude was measured on 1μV level, while magnitude of 50Hz spike was on the level of 9μV for devices turned off and 25μV for devices turned on.
    Second performed test was resolution test. Test showed that in order to keep the number of bits low, amplification of the signal is required. Amplification by factor of 1000 allowed to reduced this value to 7bits.

    Proposed system consists of amplifying stage realising 60dB gain with high pass cut off filtration and ADC. Amplifying stage is realised by amplifier providing 35dB gain with filtration below 2Hz and second amplifier realising 25dB gain. ADC is implemented by continuous time second order Sigma Delta Modulator. Proposed system was designed in CMOS 0.18μ and h18a6am technology. Tests of full system showed SNR no lower than 51dB, power consumption of 217.5μV. Input stage has CMRR of 113dB and input impedance above 2.25GΩ for the bandwidth 2-15Hz. System reliability was checked with corner analysis and wide range of temperatures. Results showed small variations of SNR.

    MSc ME Thesis Presentation

    A 0.6V, 1uW, 0.95µVrms low-power low-noise instrumentation amplifier for ECG/BioZ in 40nm CMOS

    Qiuyang Lin


    This thesis presents a low-power low-noise instrumentation amplifier designed to be implemented in 40 nm CMOS technology and operating from a 0.6 V supply, intended for use in electrocardiogram (ECG) and bio-impedance (BioZ) signal acquisition. This instrumentation amplifier has one ECG channel, one BioZ channel and allows both signals to be measured at the same time.

    The core of the system is an AC-coupled instrumentation amplifier. A DC servo-loop is applied to handle large differential electrode offset (>300 mV) and a positive feedback loop is used to boost the input impedance (>100 MOhms). This instrumentation amplifier achieves low noise (<1 uVrms over a bandwidth of 150 Hz), large CMRR (>100 dB) while only consuming 1 uW of power. The instrumentation amplifier has a noise efficiency factor (NEF) of 2.4 and it occupies only 0.1 mm^2 chip area.

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    DCSE and SIAM Seminar

    Finite Difference Interpretation of Reduced Order Models and Applications to Wave Propagation

    Vladimir L. Druskin
    Schlumberger-Doll Research, Cambridge (USA)

    In model order reduction, one approximates the response (transfer function) of a large scale dynamic system using a smaller system, known as reduced order model (ROM), that retains certain features of the larger problem.

    For lossless wve propagation such a feature is energy conservation, that manifests in the Stieltjess-Markov property of (frequency-domain) transfer functions. In his seminal ork (1952) Mark Krein showed that the Stieltjes rational transfer functions can be equivalently presented by (Stieltjes) strings of point masses and weightless springs, i.e., described by a dynamic system with s.p.d. tri-diagonal matrix.

    In turn, the Stieltjes strings give rise to interpretation of the ROMs via the second-order finite-difference approximation of the underlying PDE on judiciously chosen grids. A known application of such an approach is construction of optimal discrete perfectly matched layers (PMLs) for exterior wave problems.

    In this talk I will present two more recent applications of the Stieltjes string technology. The first one is construction of so-called S-fraction multiscale reduced order model with sparse coarse cell approximation for hyperbolic problems, illustrated ith simulation examples for large scale 3D elastic anisotropic wave problems. The second application is direct nonlinear imaging algorithm via the data-driven discrete-time ROM with 2D examples from seismic exploration and ultrasonic medical imaging.

    This is joint work with Alexander Mamonov, Andre Thaler and Mikhail Zaslavsky.


    Vladimir L. Druskin is Scientific Advisor at Schlumberger-Doll Research and a SIAM Fellow. Throughout his career, Vladimir Druskin made fundamental contributions to inverse problems, scientific computing, and numerical analysis and their application to hydrocarbon exploration.

    MSc SS Thesis Presentation

    Accelerating Diffusion-Weighted Chemical Shift Imaging using Compressed Sensing with Parameter Mapping

    Joost van der Kemp

    Diffusion-weighted chemical shift imaging (DW-CSI) is a recently developed MRI modality that enables radiologists to reveal the diffusion properties of small molecules that act in metabolic reactions in-vivo. In order to extract this diffusion information from a patient, DW-CSI requires approximately one hour of scan time. This extensive scan time makes DW-CSI currently inapplicable for the clinical setting. This thesis describes the closely intertwined implementation of compressed sensing with parameter mapping (CS-PM) in the DW-CSI processing pipeline to accelerate its acquisition. The CS-PM algorithm enables DW-CSI to acquire less measurements (sample under Nyquist) and subsequently reconstruct the missing samples with the use of a custom designed, model-based sparsifying dictionary. As proof of concept, CS-PM was evaluated on the water signal of a non-water-suppressed scan. The results of the integration of CS-PM in the DW-CSI processing pipeline already indicate a feasible acceleration factor of 1.5 along with valuable insight to further improve the performance of DW-CSI in combination with CS-PM.

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    ECTM Fall meeting

    From Devices to Systems: New MEMS for radio frequency applications

    Cristian Cassella
    North-eastern University, Boston

    We would like to invite you to our Laboratory of Electronic Components, Technology and Materials (ECTM) 2016 Autumn event with a special guest lecture. The lecture will be given by Dr. Cristian Cassella who is currently an associate research scientist in the Electrical and Computer Engineering department at North-eastern University, Boston. His talk will cover:

    “The operation and performance of two new-classes of Aluminium Nitride (AlN) piezoelectric RF resonators. The first is a fully-passive MEM-based sensor for near-zero power detection in radios. Such sensor behaves as a trigger capable of activating the CMOS circuitry through extremely low-power (-60 dBm) wake-up signatures. The achievement of such a low-power RF-sensor is a key advance towards the commercialization of energy-efficient wireless platforms, with supreme battery-time. The second system is a MEMS-based RF circulator for multiband SPAR platforms, thus relying on the same carrier frequency for both transmitter and receiver modules.”

    We will have the following program with plenty of room for questions:

    11:00 – 11:40 Dr. Cristian Cassella From Devices to Systems: New MEMS for radio frequency applications
    11:40 – 12:05 Nikolas Gaio Next generation of in vitro test
    12:05 – 12:30 Dr. Paolo Sberna TFTs fabricated on paper using waste materials

    PhD Thesis Defence

    Mingzhi Dong

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    PhD Thesis Defence

    Jianlin Huang

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    Special Celebrative Seminar: New model of Sino-Dutch R&D cooperation

    Since the establishment of TU Delft's Beijing Research Centre (BRC) in 2012, 10 PhD researchers have been enrolled for this unique program in close cooperation with our Chinese Academic Partners. We are very pleased that the first two BRC PhD candidates will have their PhD thesis defence on September 19 2016, in the Aula of Delft University of Technology.

    To celebrate this important milestone, we would like to invite you to join a special seminar after the defences, about the New model of Sino-Dutch R&D cooperation, to share the experiences, look to the future and raise the glass together.

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    PhD Thesis Defence

    Pengfei Sun

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    MSc ME Thesis Presentation

    t.b.d. (multi-channel backscattering for reading out the ECoG of freely moving rodents)

    Ide Swager

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    Multivariate signal processing for "big data" sensing

    Gabril Vasile
    GIPSA lab, Grenoble

    Big datasensing brings a strong impact on many sensor-oriented application fields, suchas disaster control and monitor, healthcare services, and environmentprotection. This presentation aims at providing anoverview on several application-drivensignal processing schemes, which have been carried outin the field of environment protection at theGrenoble-Image-sPeech-Signal-AutomaticsLab.

    PhD Thesis Defence

    Miki Trifunovic

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    MSc SS Thesis Presentation

    Ultrasound Imaging Using a Single Element Transducer

    Andrejs Fedjajes

    Most of nowadays ultrasound systems visualize 3D space in 2D images. State of the art matrix transducers are very expensive and have not achieved the same popularity yet. We prove the possibility to image a 3D volume with a single element transducer. The core idea is to deliberately change the transducers spatial field and collect the knowledge about that change into a system matrix A. This is done by means of a static aberration mask and a calibration procedure. Opposite to the conventional beamforming, we formulate the imaging task as a least squares inverse problem. This comes at the price of computational resources needed due to the problem dimensionality. The project potentially can lead to low-cost ultrasound imagers as a part of growing industry of body area sensors.

    MSc SS Thesis Presentation

    Regularized Least Squares Imaging for High Resolution Ultrasound

    Pim van der Meulen

    Conventional ultrasound imaging by delay-and-sum beamforming is based on geometrical operations on the ultrasound measurements. We think that it makes more sense to try and estimate the scattering composition that best explains the measurement. We have investigated this approach by formulating a linear mathematical model, which allows for a large and flexible variety of techniques to estimate the image, which have been well established and investigated in mathematics. Such a formulation also makes it easier to incorporate prior information about an experiment, such as the sparsity of an image, or its statistical properties. In our work, we have focused on using these techniques to attain high-resolution images, obtained by finding the image that minimizes the squared error between the formulated model and the measurement (i.e. tries to 'explain' the measurement), which vastly improves the common delay-and-sum technique. In the coming presentation some of these exciting results will be shown.

    PhD thesis defence Mark Stoopman

    Circuit Design for Highly Sensitive RF-Powered Wireless Sensor Nodes

    Mark Stoopman

    Emerging applications such as Internet of Things (IoT), smart buildings and warehouse inventory management are important driving forces behind the development of Wireless Sensor Nodes (WSNs). With future advancements made in the semiconductor industry, these WSNs are expected to become smaller, cheaper, more reliable and with improved functionality. The prospect of energy scavenged WSNs is to eliminate the burden of battery replacement, thereby significantly saving on maintenance costs in large WSN networks.

    This dissertation focuses on the research, design and implementation of various circuit blocks and the system integration of energy scavenged WSNs used in the aforementioned applications. To select a suitable energy harvester, four different energy harvesting approaches are discussed: vibrational, thermal, photovoltaic and RF. Of these harvesters, it shows that RF-powered WSNs have the distinct advantage over WSNs using other forms of energy harvesting that they are low cost and can operate wirelessly in a large variety of applications, even in cold, dark and static environments. Moreover, additional advantages such as utilizing a dedicated RF source for both energy harvesting as well as the generation of a reference frequency greatly reduces the complexity and power consumption of the WSN.

    A co-design methodology is presented to optimize the interface between the RF energy harvester and the WSN electronics for maximum sensitivity, efficiency and output power. First, general co-design principles for antennaelectronics interfaces in the receiving mode are introduced, which includes optimum reception of wireless information and wireless power. It is shown that the choice of interface impedance plays a crucial role during the optimization procedure and that, besides maximum power transfer, the interface needs to be optimized for either voltage or current, depending on which is more favorable for the electronics. Design examples are given to, for example, improve noise figure, efficiency and sensitivity without increasing power consumption.

    Based on the presented co-design principles, a CMOS rectifier and a compact loop antenna are presented for a highly sensitive RF energy harvester. A 5-stage cross-connected differential rectifier with a complementary MOS diode in the last rectifying stage is designed that significantly improves the harvesters ability to store and hold energy over a longer period of time than a conventional MOS diode. A low resistive and high-Q interface is utilized to obtain good sensitivity. To compensate variations at the interface, a control loop with a 7-bit binary-weighted capacitor bank is proposed that provides self-calibration. The chip is implemented in TSMC 90 nm CMOS technology, includes ESD protection and is directly mounted on the backside of the custom designed antenna. Measurements in an anechoic chamber at 868 MHz demonstrate an end-to-end maximum PCE of 40% and a sensitivity of -27 dBm to generate 1V across a capacitive load. In an office corridor, 1V could be generated from a 1.78 W RF source at 27 meter distance.

    A high efficiency tuned switching Power Amplifier (PA) is proposed for < 0 dBm output power. It is shown theoretically that an optimum duty cycle exists for maximum drain efficiency for a given switch and effective load resistance. To set this duty cycle, an on-chip duty cycle calibration loop is proposed that fixes the duty cycle over PVT variations. A 2.4 GHz PA prototype is implemented in 40nm CMOS technology and supports On-Off Keying (OOK) modulation with pulse shaping capabilities. A global efficiency of 40% is achieved when delivering -5 dBm to a 50 W load, which compares favorably to the state-of-the-art. Due to the introduced memory in the duty cycle calibration loop, the rise and fall times are kept below 3.3 ns, making high data rate OOK modulation feasible.

    The findings in this thesis have been used for the system integration of a compact RF-powered DLL-based 2.4 GHz CMOS transmitter. The received dedicated RF signal is used for both RF energy harvesting as well as frequency synthesis. An RF energy harvester with a nanowatt power management circuit harvests and subsequently monitors the energy in the storage capacitor to determine when enough energy is accumulated to initiate wireless data transmission. Once the voltage regulator and bias current circuit blocks are enabled, the incoming RF carrier is extracted and used as frequency reference. The frequency synthesizer consits of a frequency divider, Delay Locked Loop (DLL) and XOR-based frequency multiplier and thus allows for a compact integrated solution. All building blocks have been implemented in 40 nm CMOS technology and occupy only 0.16 mm2. Experimental results show a maximum rectifier efficiency of 36.83% at -11.47 dBm. In harvesting mode, the complete power management circuit only consumes 120 nA. For a 1 mF storage capacitor and -18.4 dBm minimum available power at 915 MHz RF input, the TX outputs a continuous 2.44 GHz RF signal of -2.57 dBm for 128 ms with 36.5% PA drain efficiency and 23.9% global efficiency. The complete TX consumes 1.46 mW during OOK modulation at 0.5 Mbps.

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    Free Webinar on Bioelectronics and Biosensors

    IMPACT and Electroceuticals: getting better with electricity

    Stewart Smith, Wouter Serdijn
    Oxford Global

    Complimentary Registration - Bioelectronics and Biosensors Webinar

    Do not miss out on the complimentary Bioelectronics and Biosensors Webinar, to be held on Wednesday 7th September 2016, 10a.m. GMT.

    Can't attend the live webinar? Still register and the recording will be sent to you

    This webinar is for biosensors and bioelectronics professionals and those interested in hearing about the current and future challenges in this exciting and rapidly moving industry. It is for those who are based in UK and Europe who would like to hear views from leading experts about their current research.

    Featuring the first presentation on Anti-Cancer Therapy a key application for biosensor devices by Dr. Stewart Smith, from the University of Edinburgh and the second presentation on The Current Research and Applications in Bioelectronic Medicine by Professor Wouter A. Serdijn, from Delft University of Technology, the one hour webinar gives an insightful introduction to the topics covered at the forthcoming Bioelectronics and Biosensors Congress, 17-18 November 2016, London.

    Click here to register for the webinar today, for free

    Do you have any colleagues who may be interested in hearing this webinar? 

    Forward to a colleague >>

    Download the 2016 Bioelectronics & Biosensors Congress agenda today here

    Why register to attend the Bioelectronics & Biosensors Congress?

    Our event features over 35 international world-class speakers who will share their research into diagnostic sensors, nerve stimulation, implantable devices and electroceuticals.


    • Getting Better With Electroceuticals: Electronic Medicine To The Rescue. Wouter Serdijn, Professor, Delft University of Technology
    • Discovery And  Application Of Biomarkers For Biosensor Use In Infectious Disease Diagnosis. Nigel Silman, Strategic R&D Lead, Public Health England
    • Bioelectronics Technology Research At GSK. Brad Holinski, ‎Bioelectronics R&D Manager, GSK
    • Gammacore, A Hand-Held Bioelectric Device For The Treatment Of Chronic Headache Conditions. Iain Strickland, Director, Electrocore

    This is a free webinar open to all, so why not sign up and benefit from the expertise of our speakers?

    Contact Angela Fernandez for further information | +(44)01865 248455

    Terms & Conditions: This webinar is exclusively for Bioelectronics & Biosensors professionals. If you are unsure whether you should attend please contact for clarification.
    In very rare circumstances the event may be cancelled, postponed or the time changed. We will endeavour to contact you by telephone and email, it is therefore imperative that you provide the correct information. Failure to provide all the details we require on the registration form may result in your registration being cancelled.
    By registering for this event you agree to be added to Oxford Globals mailing list. If you would prefer not to receive emails about Oxfrod Globals events and free webinars you can unsubscribe at any time.

    Data Protection Act (1998)
    Please note the personal information provided by you will be held on a database by Oxfrod Global in accordance with the Data Protection Act 1998. Data may be shared with the selected partners for the event that you are attending however we will not disclose personal data that you have provided to any other third party and the information you supply to us will only be used by Oxfrod Global and selected partners to contact you regarding training/events or our other services.

    MSc ME Thesis Presentation

    In-vivo multicell inferior olivary recordings: alternative design methods for creating cheap and flexible electrode structures

    Joost Kerpels

    In order to allow neuroscientists to do in-vivo recordings on hard to reach brain tissue, such as the Inferior Olivary Complex, specially designed electrodes are required. Although a variety of electrodes are commercially available, they are usually expensive and it is hard to rapid prototype new designs.

    This thesis describes the design process of three electrode array designs, each improved based on the findings of the previous one. The first design was made using a FlexPCB production technique, on which gold spots were added to create conducting measuring sites. The second design combined this technique with commercial microwire electrodes. The third design used 3d-print technology combined with microwire electrodes to create an electrode array.

    All designs were tested in in vivo measurements on mice. Although successful measurements were done, the robustness and reproducibility needs to improve in order for this technique to really be applicable in a laboratory environment. Furthermore, the peripherals need to be improved in order to minimize the system to create a wearable system and perform recordings on wake animals.

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    MSc ME Thesis Presentation

    A compact multi-electrode system to measure in vivo electrical activity in the olivocerebellar system -- measuring sub-threshold oscillations and action potentials spatially and over time

    Matthijs Weskin

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    BBQ Theme Meeting

    From Microelectronics Packaging to Power Electronics Packaging

    Prof. Ferreira TU of Delft

    It is a clear trend that increasing number of advanced microelectronic packaging technologies and know-how are being transferred to power electronics applications. We’re glad to welcome Prof.  dr. Braham Ferreira, the president of IEEE Power Electronics Society (PELS), will join us and give an informal talk regarding his view of this trend, focusing on the challenges and opportunities. To provide a wide platform some IEEE members from power electronics society are invited as well, to share their knowledge during social networking. This summer event offers a great opportunity for CPMT members to broaden their views, and to seek new collaboration chances.

    18.00 walk-in with drinks and BBQ
    18.30 Prof. Ferreira of TU Delft: “From Microelectronics Packaging to Power Electronics Packaging”
    18:45 Questions and discussions, together with drinks and BBQ, networking
    21:00 Closing and drinks

    TU Delft Campus, FreeZone D

    For IEEE CPMT members: Free
    For others: 5 Euro

    If you would like to join our summer event, please register by sending an email to Pan Liu: before the 15th of July 2016.

    For more information, please contact Jing Zhang (Chair of IEEE CPMT Benelux Chapter) by e-mail:



    MSc SS Thesis Presentation

    Dielectric Shimming

    Michiel Gerlach

    Dielectric shimming is proven to be very useful in increasing the homogeneity of the B1+ field in high field MRI. Current optimization and design techniques for dielectric pad parameters are slow. The goal of this thesis is to find a fast and accurate pad design and optimization technique. Two new techniques are proposed. The first, a method that simply uses inspection by solving the forward problem in a relatively fast way. The other proposed technique follows a more analytical approach to find the optimal permittivity and conductivity of a pad in a couple of iterative steps with a Gauss-Newton method. This last technique uses a new proposed approach to predict the phase of the B1+ field in a direct fashion.

    These techniques provide fast and accurate simulation results for a two-dimensional abdominal body slice placed in a 3T MRI scanner for different pad scenarios. From these results it can be concluded that both proposed techniques generate comparable pads, which are able to increase the homogeneity of the B1+ field.

    A comparison between the two techniques is made. The Gauss-Newton method provides a fast, robust and accurate optimization technique for large scale problems, but offers less flexibility and insight to the data compared to the method via inspection.

    The flexibility of the method via inspection and the insight it provides is shown for different scenarios (pad location, multiple pads, pad shape, pad thickness), where the effect of the optimal permittivity and conductivity on the homogeneity of the resulting B1+ field is simulated. Even the maximum allowed SAR can be incorporated in this pad optimization technique.

    PhD Thesis Defence Ozan Yurduseven

    Wideband Integrated Lens Antennas for Terahertz Deep Space Investigation

    Ozan Yurduseven

    The Terahertz (THz) band is the portion of the spectrum that covers a frequency range from 300 GHz to 3 THz. The potential of this band has been proven for numerous type of applications including medical imaging, non-destructive testing, space observation, spectroscopy and security screening, thanks to its good compromise between the spatial resolution and penetration. Most of these applications demand for high spatial and range resolution of the images, as well as fast acquisition time. To fulfill such requirements, focal plane arrays (FPAs) need to comprise a large number of elements and be able to operate over broad bandwidths. Moreover, fabrication of the FPAs with thousands of antenna elements becomes a real issue at such frequencies due to the fabrications constraints and immense manufacturing costs

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    It is a clear trend that increasing number of advanced microelectronic packaging technologies and know-how are being transferred to power electronics applications. Were glad to welcome Prof. dr. Braham Ferreira, the president of IEEE Power Electronics Society (PELS), will join us and give an informal talk regarding his view of this trend, focusing on the challenges and opportunities. To provide a wide platform some IEEE members from power electronics society are invited as well, to share their knowledge during social networking. This summer event offers a great opportunity for CPMT members to broaden their views, and to seek new collaboration chances.

    Program: 18.00 walk-in with drinks and BBQ
    18.30 Prof. Ferreira of TU Delft: From Microelectronics Packaging to Power Electronics Packaging
    18:45 Questions and discussions, together with drinks and BBQ, networking
    21:00 Closing and drinks

    TU Delft Campus, FreeZone D

    For IEEE CPMT members: Free
    For others: 5 Euro

    If you would like to join our summer event, please register by sending an email at before the 15th of July 2016. Also for more information please contact Jing Zhang, Chari of IEEE CPMT Benelux Chapter

    Energy harvesting wireless networks: A new frontier for communication and information theory

    Aylin Yener
    Pennsylvania State University

    Wireless communication networks composed of devices that can harvest energy from nature will lead to the green future of wireless, as energy harvesting offers the possibility of perpetual network operation without adverse effects on the environment. By developing effective and robust communication techniques to be used under energy harvesting conditions, some of the communication devices in a heterogeneous network can even be taken off the grid. Energy harvesting brings new considerations to system level design of wireless communication networks, leading to new insights. These include randomness and intermittency of available energy, as well as additional system issues to be concerned about such as energy storage capacity and processing complexity. The goal of this talk is to furnish the audience with fundamental design principles of energy harvesting wireless communication networks which is an emerging area. The focus will be on identifying optimum transmission scheduling policies in various settings, and the ensuing algorithmic solutions. Time permitting we will also go into the information theory of energy harvesting communications, which brings in new challenges taking into account energy availability and storage at the channel use level.


    Aylin Yener is a professor of Electrical Engineering at The Pennsylvania State University, University Park, PA since 2010, where she joined the faculty as an assistant professor in 2002. During the academic year 2008-2009, she was a Visiting Associate Professor with the Department of Electrical Engineering, Stanford University, CA. Her research interests are in information theory, communication theory and network science with recent emphasis on green communications, information security and networked systems.

    She received the NSF CAREER award in 2003, the best paper award in Communication Theory in the IEEE International Conference on Communications in 2010, the Penn State Engineering Alumni Society (PSEAS) Outstanding Research Award in 2010, the IEEE Marconi Prize paper award in 2014, the PSEAS Premier Research Award in 2014, and the Leonard A. Doggett Award for Outstanding Writing in Electrical Engineering at Penn State in 2014. She is a fellow of the IEEE. Dr. Yener is an elected member of the board of governors of the IEEE Information Theory Society for the term 2015-2017.

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    MSc TC Thesis Presentation

    Chinese Digital Radio Receiver Design and Development with FM Interference Cancellation

    Yiling Zhang

    A Chinese Digital Radio (CDR) has been made and become effective in 2013 by SGAPPRFT (State General Administration of Press, Publication, Radio, Film and Television), which is an In-Band On-Channel (IBOC) digital audio broadcasting hybrided with analog FM signal in one FM channel. This project investigates the interferences to the CDR digital signals caused by both co-channel and adjacent-channel FM signals, and proposes solutions to combat such influences. A new acquisition algorithm is implemented to realize mode detection and synchronization for the hybrid signal. Two FM interference removal methods have been proposed and studied in simulation. An energy detector is introduced to select the best FM interference removal method in run time. The proposed solution has reached very good reception performance against co-channel FM interference in commonly used CDR modes. For the adjacent-channel FM interference, if we can detect and select the better removal method in real time, the performance degradation can be controlled to[LINK] a limited SNR increase under the AWGN channel.

    BELCA Festival

    The bi-annual music festival of the Bioelectronics and Electronics groups in the /Pub at EEMCS

    BELCA festival

    What started out as a way to showcase the talent of faculty members in 2010 has grown into a small-scale festival, a collaboration between the Bioelectronics Department and the Electronics Research Lab. This year it's on July 1 at the Faculty of Electrical Engineering, Mathematics and Computer Science's cellar /Pub. "We'll have two external bands plus the BELCA band. As well as music there'll be dancing and shows too," said Farnaz Nassiri Nia, festival coordinator. "People are already rehearsing for their performances including some pop, jazz and Rammstein. We've tried to make it multicultural so there'll be Indian, Italian, Brazilian and Iranian songs." It's not ticketed, so you can just turn up and enjoy the show. The /Pub can accommodate 300 people.

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    Physical Foundations Underlying Green Information and Communication Technologies

    Earl McCune

    There are physical limitations on how much energy efficiency can be realized from any actual hardware used to implement any communications standard. Experience shows that in most instances the signals adopted by the standard committee place an additional ceiling on the achievable energy efficiency using that hardware. For example, there is hardware that is capable of providing more than 60% energy efficiency under ideal conditions, but for some standardized signals the maximum achievable efficiency drops to 7%. This drop in achievable efficiency is predictable, and such analyses should become part of standards committee deliberations. Such a low operating efficiency is not compatible with IoT, 5G, and other upcoming Standards objectives.

    This presentation was originally given to the IEEE Green-ICT Initiative Steering Committee at the IEEE Board meeting series in New Jersey on June 16, 2016. It establishes the reasons why such efficiency ceilings occur and shows how to predict them. Further, recipes are provided on how it is physically possible to simultaneously achieve high bandwidth efficiency and optimum energy efficiency along with the PSD impacts that come with these more Green-optimized signal modulations.

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    MSc SS Thesis Presentation

    Electrical properties tomography for MRI

    Patrick Fuchs

    In Magnetic resonance imaging (MRI) an interest in electrical properties tomography (EPT) is growing. In current EPT the reconstruction is performed based on the Helmholtz equation which relies on the assumption of a homogeneous contrast. The goal of this thesis is to present new approaches to reconstruct the electrical properties that require less assumptions on the contrast. Two new approaches are presented, one based on first order differentiation and one on the global integral field equations using a contrast-source variable. In this thesis these methods are described alongside the existing Helmholz based approach, the contrast source inversion - EPT approach and the deconvolution approach. These last three approaches have already been published on, but are reviewed here for completeness.

    Reconstruction of both two dimensional and three dimensional simulations as well as the reconstruction of an in-situ measurement are performed to compare the five different methods. It can be concluded from this comparison that all methods that are not based on the homogeneous contrast assumption perform much more accurate (overall) than the Helmholtz equation based method. Both contrast source inversion and the direct inversion method based on the global integral equations perform comparable, but the latter is a lot faster and offers almost the same range of flexibility regarding regularisation and preconditioning. The direct inversion method is a straight improvement on the deconvolution method, performing equally well regarding noise robustness, but offering better reconstructions in almost all cases due to the lack of apodisation step. The first order differential method provides a surprisingly robust, accurate and extremely fast way to get insight into the data, and shows that the inversion problem in MRI is actually very well behaved as far as inversion problems go. These new methods provide fresh insight into the inversion problem in MRI, specifically for EPT and get us one step closer to accurate electric properties reconstruction from an MRI scan.

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    MSc SS Thesis Presentation

    Acoustic Vector Sensor Based Source Localization


    MSc work done at Microflown

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    Join project presentations of Msc course System Engineering

    Students System Engineering

    Students present and defend their group projects Including: - Crashed Aeroplane and Treasure Finding Sensor Hive - Low Cost and Unobtrusive Elderly House - Increasing the Accessibility of Hydrocephalus Diagnosis in Uganda - Interchangeable Block Design of Prorail System - DC house For : all Faculty Staff and PhD students

    PhD Thesis Defence

    Underwater Acoustic Localization and Packet Scheduling

    Hamid Ramezani

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    Signal Processing Seminar

    Fundamentals of Graph Signal Processing and Applications to Diffusion Processes

    Prof. Antonio G. Marques
    King Juan Carlos University, Madrid

    Coping with the challenges found at the intersection of Network Science and Big Data necessitates broadening the scope beyond classical temporal signal analysis and processing in order to also accommodate signals defined on graphs. Under the assumption that the signal properties are related to the topology of the graph where they are supported, the goal of graph signal processing (GSP) is to develop algorithms that fruitfully leverage this relational structure. Instrumental to that end is the so-termed graph-shift operator, a matrix capturing the graphs local topology and whose spectral decomposition is central to defining graph Fourier transforms.

    In the last years a body of works has successfully implemented this approach, showing how several classical signal processing results can be gracefully generalized to the more irregular graph domain.

    The talk consists of two parts. The first part introduces the field of GSP, motivates its usefulness via meaningful applications, and presents its foundational concepts, which have been derived over the past five years. The second part focuses on contemporary results, including optimal filter design, blind identification and network topology inference. For each of these results, the theoretical contribution will be first described and then the implications for distributed and dynamic processing will be discussed.


    Antonio G. Marques received the Telecommunications Engineering degree and the Doctorate degree, both with highest honors, from the Carlos III University of Madrid, Spain, in 2003 and 2007, respectively. In 2007, he became a faculty of the Department of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain, where he currently develops his research and teaching activities as an Associate Professor. From 2005 to 2015, he held different visiting positions at the University of Minnesota, Minneapolis. In 2015 and 2016 he was a Visiting Scholar at the University of Pennsylvania. His research interests lie in the areas of communication theory, signal processing, and networking. His current research focuses on stochastic resource allocation wireless networks and smart grids, nonlinear network optimization, and signal processing for graphs. Dr. Marques has served the IEEE and the EURASIP in a number of posts (currently, he is an Associate Editor of the IEEE Signal Process. Letters and of the EURASIP J. on Advances in Signal Process.), and his work has been awarded in several conferences and workshops.

    PhD Thesis Defense

    Covariance matching techniques for radio astronomy calibration and imaging

    Millad Sardarabadi

    The search for the answer to one of the most fundamental scientific questions, How was the universe formed?, requires us to study very weak radio signals from the early universe. In the last eighty years, radio astronomers have been able to use radio frequency observations for significant discoveries such as quasars, supermassive Black Holes and the Cosmic Microwave Background radiation. Radio astronomers use a radio telescope to study the cosmos. A radio telescope usually consists of an array of radio receivers (antennas) and supporting hardware/software to produce synthesized images of the sky. While the earlier generation of the radio telescopes such as the Westerbork Synthesis Radio Telescope (WSRT), the Very Large Array (VLA) and the Giant Meterwave Radio Telescope (GMRT) consisted of 14-45 receivers separated a few kilometers (3-25 km basedlines), the next generation of radio telescopes such as LOFAR and SKA have thousands of receivers which cover distances of over 1000 km. This massive increase in the number of receivers and the geometric dimensions is a consequence of the required (high) resolution and sensitivity for modern scientific studies and while it is necessary, it does not guarantee the desired results without the appropriate data and signal processing.

    The main challenges in radio astronomy can be divided in three closely related problems: mitigation of manmade radio frequency interference, calibration and image formation. The main goal of this thesis is to investigate howthe signal processing formalism can be used to systematically model and analyze these three problems and what signal processing tools are needed for addressing them.

    The number of RFI free bands is diminishing rapidly as a consequence of the increased number of wireless services and applications. The shift towardswideband digital systems has created new problems which are not sufficiently addressed by currently implemented RFI detection and mitigation systems. For this class of continuously present wideband RFI, the use of array processing techniques such as spatial filtering could provide access to frequency bands otherwise unusable by astronomers. Such a spatial filtering can be achieved by estimating and removing the subspace that the interfering signal is occupying. Many signal processing algorithms use the eigenvalue decomposition (EVD) for estimating the signal subspace. However the use of EVD is limited to systems where the noise is white or known from calibration. This requirement is a limiting factor for applying these techniques to uncalibrated arrays with unknown noise models. In these situations a more generic approaches which allows for combined RFI filtering and noise power calibration is preferred. In this thesis factor analysis (FA) is proposed as suitable substitution for EVD.

    FA is a technique that allows for the decomposition of the signal into a lowrank part corresponding to the signal and a diagonal part which represents the covariance of the noise on the receivers. Because the diagonal elements can be different this technique can be used when the noise is not white and forms a generalization of the EVD. In RFI mitigation applications the signal part of the data is dominated by RFI and changes more rapidly than the noise. Estimating the noise covariance which is shared by several measurements jointly allows for a more accurate estimation. As a result extensions to the classical FA are proposed to improve the estimates for the diagonal part of the decomposition in a joint fashion. Even a diagonal noise structure can be limiting in some applications. For example the contribution of theMilkyWay affects the short baselines which can be modeled by using a nondiagonal covariance matrix. The FA model can be extended for this type of signals. An extension to FA called Extended FA (EFA) is used to allow for capturing such structures into the model. Similar to JFA we can also estimate the parameters in EFA jointly, and the resulting method is denoted by Joint EFA (JEFA). Using nonlinear optimization techniques combined with Krylov subspace based solvers an scalable algorithm is developed. The statistical efficiency of this algorithm is shown by comparing its results to the CramrRao bound and its application in RFI mitigation has been demonstrated on measurements from the WSRT and LOFAR.

    Antenna gain calibration is an essential step in producing accurate images. Using common array processing data models, the gain calibration is formulated as a nonlinear covariance matching problem. In this thesiswe showthat the matrices involve in this estimation problem are highly structured and that the systemof equations involving these matrices can be efficiently solved using Krylov subspace based solvers (similar to JEFA). The resulting calibration algorithm is scalable and requires a low number of iterations in order to converge which makes it an attractive alternative to currently available techniques.

    Both classical and parametric based image formations consist of two steps. First a dirty image is constructed from the measurements and then an improved estimate is found by performing a deconvolution step. When the number of pixels on the image becomes large, the deconvolution step becomes an illposed problem. In this thesis we showthat image values are bounded frombelowby a nonnegativity constraint and above by the dirty image. Using beamforming techniques, we show that tighter upper bounds can be constructed using the MVDR beamformer. These bounds allow us to regularize the deconvolution problem by a set of inequality constraints. Following a signal processing model, the image formation is then formulated as a parameter estimation problem with inequality constraints. This optimization problem can be solved using an active set algorithm. We show that, with the right initialization, the active set steps are very similar to sequential source removing techniques such as CLEAN. This connection between classical approaches and parametric imaging techniques provides the necessary theoretical basis for further analysis and allows for improving both methods.

    Based on the results presented in this thesis we can conclude that signal processing methodologies can provide new solutions to the radio astronomical problems and also shed light on the inner working of the classical techniques. Hence, a signal processing approach is extremely beneficial in tackling the problems that the next generation of radio telescopes will face.

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    SP Seminar

    Signal Processing for Radio Astronomy

    Yves Wiaux, Stefan Wijnholds, Amir Leshem

    Yves Wiaux: "Astronomical imaging, in every sense of the word: scalable optimisation algorithms in radio-interferometry"

    Amir Leshem: "Detection of transient sources"

    Stefan Wijnholds: "Blind calibration of aperture arrays"


    High Frequency Coherent Arrays

    Nuria Llombart

    As a kick-off of the ERC grant, dr. Nuria Llombart, organizes a one day workshop oriented towards the development of coherent arrays at high frequencies. The workshop will consist on 30-minitutes talks by international speakers working in this area plus a 15-min questions and open discussion on relevant topics. The speakers will be Cicero Voucher from NXP, Goutam Chattopadhyay and Ken Cooper from JPL, Tomas Bryllert from Chalmers University. The workshop will end with a presentation from Andrea Neto and a kick-off presentation of the ERC grant of Nuria Llombart.

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    Birth of the silicon-boron junction

    Stoyan Nihtianov, Vahid Mohammadi

    We shall share with you the fascinating story behind the birth of a new type of junction the silicon-boron (Si-B) junction and its amazing properties. In the colloquium, an introduction will be given by the Dean of EEMCS, Prof Rob Fastenau, followed by a short retrospection of the events leading up to the discovery by Dr. Stoyan Nihtianov. The Si-B junction will be introduced by Dr. Vahid Mohammadi, who has made the main contribution to its discovery. The recent finding became possible thanks to the hard work, ingenuity and inventiveness of a significant number of talented researchers and engineers over the last more than 10 years in the Microelectronics department of TU Delft, using the facilities of DIMES (now EKL). The understanding of the physics behind the junction and the mechanism of its formation could not have been possible without the collaboration between scientists from multiple disciplines: solid-state physics, computational materials sciences, semiconductor technology, optoelectronicsnor without the generous financial support from the Dutch hi-tech companies ASML and FEI, and the Dutch foundation of Technology (STW).

    The discovery of the Si-B junction can be considered a bonus for a research effort directed first towards linear and high-quality-factor varactors for RF applications, and later on towards the detection of low-penetration radiation such as: vacuum ultraviolet (VUV) radiation used in EUV/DUV wafer steppers, and low energy electron (< 200 eV) beams used in electron microscopes. This type of junction might also become a vital solution for creating high quality junctions with wide bandgap materials such as SiC, without the need for doping.

    This colloquium is organised by Stoyan Nihtianov and Vahid Mohammadi, Electronic Instrumentation Laboratory, EEMCS, TU Delft. Registration Please register before 26 May via an e-mail to Joyce Siemers, secretary Electronic Instrumentation Laboratory.

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    PhD Thesis Defence

    Cognitive Radio-based Home Area Networks

    Mohd Adib Sarijari

    A future home area network (HAN) is envisaged to consist of a large number of devices that support various applications such as smart grid, security and safety systems, voice call, and video streaming. Most of these home devices are communicating based on various wireless networking technologies such as WiFi, ZigBee and Bluetooth which typically operate in the already congested ISM licensed-free frequency band. As these devices are located in a small physical space (i.e., limited by the size of the house), they might interfere with one another which causes a severe limitation to the quality-of-service (QoS) such as throughput. These issues are further aggravated in dense cities where the HAN also receives interference from neighboring HANs. Cognitive radio (CR) is seen as one of the most promising technologies to solve these problems and at the same time fulfill the HANs communication needs. CR technology enables the HAN devices to intelligently exploit idle spectrum including licensed spectrum for their communications, avoiding from being interfered as well as causing interference to others (in particular the incumbent user). We study these problems and the appropriateness of CR as a candidate solution.

    We start by designing a new communication system for HAN based on CR technology and clustered network topology, called TD-CRHAN. TD-CRHAN aims at sustainably and efficiently supports the ever-rising throughput demand as well as solving the interference issue in HAN. In the TD-CRHAN, the achievable throughput is optimized to be just equal or slightly higher than the total networks throughput demand, instead of being maximized. We then mathematically model the proposed TD-CRHAN where in the model, general expressions of the cooperative spectrum sensing performance parameters are considered. This allows us to analyze the performance of TD-CRHANfor amore realistic scenario where the incumbent user signal-to-noise-ratio (SNR) is not the same at different sensing devices. We illustrate promising results, numerically and through simulation, confirming the performances of the proposed design.

    As a cognitive radio based network also imposes additional overhead in energy consumption due to the spectrum sensing, we then propose an energy efficient cooperative spectrum sensing (CSS) scheme. The scheme is designed based on the proposed TD-CRHAN. In this scheme we also ensure that the throughput demand is kept satisfied efficiently. From the difference in sensing devices incumbent user SNR (that is previously considered), we select the optimal sensing devices for CSS with the corresponding sensing time and detection probability which can be varied from one sensing device to another. We then evaluate the proposed CSS scheme and exhibit the gains obtained in energy- and throughput-efficiency.

    Finally, we present a sensing device grouping and scheduling scheme for multichannel CSS. In addition to the energy- and throughput-efficiency, this scheme addresses the fairness in spectrum sensing load distribution among the available sensing devices in a HAN. In this work, we consider the fairness objective as to maximize the lifetime of each sensing device to its expected lifetime. In the proposed scheme, we determine the optimal number of channels that should be used for the network and the selected channels. We also determine the optimal number of devices in each sensing group and which devices. Subsequently, we optimally schedule the formed sensing groups to sense the selected channels. The results from the performance analysis verify our claims.

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    Inaugural Speech Wouter A. Serdijn

    Beter worden met elektroceutica -- elektronische medicijnen reiken de helpende hand

    Wouter Serdijn

    This inaugural speech will be spoken in Dutch. However, the presentation material will be in English or with English subtitles.

    The symposium that precedes the inaugural speech will be in English.

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    Symposium: Bioelectronics meets Electrophysiology

    Johan Frijns (LUMC), Jeroen Dudink (ErasmusMC), Richard Houben (AB-Sys), Freek Hoebeek (ErasmusMC), Dirk Ridder (Otago Univ.)

    On the occasion of Wouter Serdijns recent appointment to full professor in bioelectronics and the inaugural ceremony in which he accepts his appointment, a full-day symposium will be organized. This symposium addresses bioelectronics from a technological, a medical, a clinical, an industrial and a societal perspective. Five distinguished speakers from the Erasmus and Leiden Medical Centers, from the Dunedin School of Medicine and from Applied Biomedical Systems will address these challenging topics.

    The symposium language will be English and free of charge. Registration is required, though. Please click the following link to register: Registration


    9:30 hrs: registration and coffee  
    10:00 hrs: opening of the symposium by the chairman, Marijn van Dongen  
    10:10 hrs: Johan Frijns, Leiden University Medical Center, ENT Cochlear Implants: Clinical problem, technical solution and social impact
    10:40 hrs: Dr. Jeroen Dudink, Erasmus Medical Center, Neonatology The future of baby brain monitoring
    11:10 hrs: Ing. Richard Houben, Applied Biomedical Systems Electroanatomical Mapping of Persistent Atrial Fibrillation
    11:40 hrs: coffee break  
    12:10 hrs: Dr. Freek Hoebeek, Erasmus Medical Center, Neuroscience Bioelectronics allow the small brain to conquer the big brain
    12:40 hrs: Prof.dr. Dirk de Ridder, Dunedin School of Medicine, New Zealand

    Bioelectronics controls the brain by mimicking nature

    13:10 hrs: lunch  
    15:00 hrs: inaugural ceremony and speech of Wouter Serdijn, Delft University of Technology

    Beter worden met elektrceutica: elektronische medicijnen reiken de helpende hand

    (Eng: Getting Better with Electroceuticals: electronic medicine to the rescue)

    16:30 hrs reception+  


    PhD Thesis Defence

    Array of single-photon detectors applied to PET imaging

    Chockalingam Veerappan

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    High-accuracy Positioning in Multipath Channels: Location-Awareness for 5G Networks

    Klaus Witrisal
    Graz University of Technology

    Location-awareness is the capability of a mobile network to employ position information for the sake of operating more efficiently. It is foreseen that fifth-generation (5G) wireless networks will be able to exploit much more accurate position information than any previous generation of wireless networks. This comes naturally due to the increased bandwidth and the application of multi-antenna techniques, which will eventually turn multipath propagation from an enemy to a friend.

    This talk will first highlight the impact of multipath propagation on the accuracy of wireless range and position estimation. The important influence of bandwidth and the benefit of MIMO processing will be analyzed. Next it will be shown how one can make use of multipath to benefit from improved positioning accuracy, robustness, and a relaxed need for infrastructure nodes. Analytical performance bounds, their experimental validation, and algorithms derived thereof will be discussed. Finally, it will be shown that a multipath-enabled positioning system is a showcase example of a cognitive dynamic system that can optimize the information gained from each measurement, exploiting its memory of past measurements to plan future measurements. The environment map it collects can be used to predict the propagation characteristics, yielding location-awareness for positioning and communications. It is concluded that the use of position information may become as important to 5G networks as other new, disruptive technologies such as massive MIMO and mm-wave.


    Klaus Witrisal received the Dipl.-Ing. degree in electrical engineering from Graz University of Technology, Graz, Austria, in 1997, the Ph.D. degree (cum laude) from Delft University of Technology, Delft, The Netherlands, in 2002, and the Habilitation from Graz University of Technology in 2009. He is currently an Associate Professor at the Signal Processing and Speech Communication Laboratory (SPSC) of Graz University of Technology, Graz, Austria, where he has been participating in various national and European research projects focused on UWB communications and positioning. He is co-chair of the Technical Working Group "Indoor'' of the COST Action IC1004 "Cooperative Smart Radio Communications for Green Smart Environments.'' His research interests are in signal processing for wideband and UWB wireless communications, propagation channel modeling, and positioning. Prof. Witrisal served as a leading chair for the IEEE Workshop on Advances in Network Localization and Navigation (ANLN) at the IEEE Intern. Conf. on Communications (ICC) 2013 - 2016, as a TPC (co)-chair of the Workshop on Positioning, Navigation and Communication (WPNC) 2011, 2014, and 2015, and as a co-organizer of the Workshop on Localization in UHF RFID at the IEEE 5th Annual Intern. Conf. on RFID, 2011. He is an associate editor of IEEE Communications Letters since 2013.

    Automotive radar

    Holger Meinel (automotive specialist Germany), Riender Happee (TU Delft)

    The Dutch Automated Vehicle Initiative (DAVI) aims to investigate, improve and demonstrate automated driving on public roads ( In a range of projects DAVI aims to: assess & improve automation technology, study human behaviour, assess safety, pursue legalisation, and create public awareness. The presentation will provide an overview of DAVI and Automotive research at TU Delft, including the WEpods project on driverless public transport and the interaction with pedestrians and other vulnerable road users ( Riender Happee coordinates Automotive research and education at TU Delft with a focus on human factors, biomechanics, automated driving, and driver modelling. Automotive radar based on millimetre waves - today in the 24/ 26 GHz and in the 77/ 79 GHz range has been under investigation and development since several decades. Already in the early 1970ies first 35 GHz radar sensors were tested over several millions of road kilometres. Since 1998 beginning with an ACC (Autonomous Cruise Control) radar sensor in the Mercedes-Benz S-class sedan automotive radar is commercially available and employed by various OEMs all over the world, and no longer in expensive Premium cars only. With the standard-series implementation of the CPA 2.0 sensor (Collision Prevention Assist) in the Mercedes-Benz B-class in September 2011 radar sensor democratization for the benefit of vehicle safety has become reality. These days such radar systems are used for various vehicular applications, predominantly for functions like ACC, or BSD (Blind Spot Detection) to name just 2 important safety functions. The final goal of autonomous driving has come into view, e.g. the Bertha-Benz-Drive by Mercedes, Drive Me by Volvo or the iBus by Yutong Bus Co. Ltd. in China. Different frequency bands, modulation schemes, emission powers, or radiation patterns are employed today. However, more sophisticated approaches, like DBF (Digital BeamForming) antennas or polarimetric signal evaluation are - concerning automotive radar - still in research and development. Automotive radar, its history, todays state-of-the-art for comfort and safety as well as possible future trends on the road to autonomous driving will be reviewed in this lecture. From feet off (SAE level 2) to brains off (SAE level 5) ? we will have to see when Curriculum Vitae Holger H. Meinel joined the AEG-TELEFUNKEN Advanced Technology Department in Ulm, Germany, in 1973 after graduating with a Diploma in Microwave Engineering from the RWTH AACHEN in Aachen, Germany. He started to design mm-wave components, among others for a 35 GHz collision avoidance radar. Never changing company but only their names over the last 40 years, he switched his location and role of work nearly every 5 years. However, working in the US or France in the 1980s, and again the US in the 1990s he normally was located in Germany. Coming full circle in his career, from May 2010 to December 2012 he has been responsible for external contacts of Daimler AG within the EU-Project MOSARIM (More Safety for All by Radar Interference Mitigation); thus finally coming back-to-his-roots again: ACC radar for cars. Holger H. Meinel is author and co-author of over 175 technical papers, mostly on millimeter-wave integration and application. He holds or has held 14 patents and among other things has been involved in key-functions with the European Microwave Association (EuMA). During the restructuring of the European Microwave Conference (EuMC) from 1996 to 1998 he served in the newly founded Steering Committee, and became one of the 6 founder members of EuMA. He especially fostered application oriented contributions to EuMW, as well as he supported and enhanced the student involvement in EuMA. In 2011 during the EuMW in Manchester, UK, - he was awarded with the EuMA Distinguished Service Award for his lifelong contributions to the microwave community. Since September 2014 he officially is in retirement. However, since then he has been actively involved in different conferences and events, concerning automotive radar and autonomous driving, such as: EuRAD 2014 in Rome (Oct.), Telematics Munich 2014 (Nov.), Automotive Tech.AD 2015 in Berlin (Feb.), EuMC 2015 in Paris (Sept.), 2nd International Forum on Intelligent Vehicles, 2015, in Chengdu, China, Telematics Stuttgart 2015 (Nov.), or recently again Automotive Tech.AD 2016 in Berlin (Feb.). In January 2015 Holger H. Meinel was appointed by the EuMA BOD to be the speaker of the EuRaMIG (European Radio and Microwave Interest Group), one of three core groups within EuMA, for the next 3 years. EuRaMIG being the body to hold contact with the EU-Commission for EuMA on behalf of innovative technology related EU calls.

    Antenna Design at Fraunhofer FHR

    Peter Knott
    Fraunhofer Institute for High Frequency Physics and Radar Techniques

    The Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR in Wachtberg, Germany, develops concepts, methods and systems of electromagnetic sensors, particularly in the field of radar and communication, jointly with novel signal processing methods and innovative technology from the microwave to the lower Terahertz region. The institutes competency covers almost every aspect of modern radar and communication techniques.

    The presentation will give an overview of research at FHR and its department AEM, including EM Modelling and Antenna Technology. Specific research topics will be presented, e.g. in the field of Automotive and Maritime Radar, Conformal Array and Circular Switched Parasitic Antennas (CSPA).

    Peter Knott joined Fraunhofer FHR in 1994. The focus of his work is design and development of antenna arrays and active antenna front-ends as well as electromagnetic modelling and beamforming methods for conformal antenna arrays. Since 2005 he is head of the Department Antenna Technology and Electromagnetic Modelling (AEM). Until 2012, he has been chairman of the NATO research task group SET-131 on Vibration Control and Structure Integration of Antennas. He has published numerous articles in scientific journals and on conferences and holds several patents. Dr. Knott is also an Assistant Professor of Antenna Engineering at RWTH Aachen University. He is currently chairman of the German IEEE MTT/AP Joint Chapter, member of the VDE/ITG board 7.1 on Antennas, and member of the Board of Trustees of the German Institute of Navigation (DGON e.V.).

    PhD Thesis Defence

    Sparse Sensing for Statistical Inference: Theory, Algorithms, and Applications

    Sundeep Prabhakar Chepuri

    In today's society we are flooded with massive volumes of data of the order of a billion gigabytes on a daily basis from pervasive sensors. It is becoming increasingly challenging to locally store and transport the acquired data to a central location for signal/data processing (i.e., for inference). Consequently, most of the data is discarded blindly, causing serious performance loss. It is evident that there is an urgent need for developing unconventional sensing mechanisms to extract as much information as possible yet collecting fewer data. Thus, reducing the costs of sensing as well as the related memory and bandwidth requirements.

    The first aim of this thesis is to develop theory and algorithms for data reduction. We develop a data reduction tool called sparse sensing, which consists of a deterministic and structured sensing function (guided by a sparse vector) that is optimally designed to achieve a desired inference performance with the reduced number of data samples. The first part of this thesis is dedicated to the development of sparse sensing models and convex programs to efficiently design sparse sensing functions.

    Sparse sensing offers a number of advantages over compressed sensing (a state-of-the-art data reduction method for sparse signal recovery). One of the major differences is that in sparse sensing the underlying signals need not be sparse. This allows us to consider general signal processing tasks (not just sparse signal recovery) under the proposed sparse sensing framework. Specifically, we focus on fundamental statistical inference tasks, like estimation, filtering, and detection. In essence, we present topics that transform classical (e.g., random or uniform) sensing methods to low-cost data acquisition mechanisms tailored for specific inference tasks. The developed framework can be applied to sensor selection, sensor placement, or sensor scheduling, for example.

    In the second part of this thesis, we focus on some applications related to distributed sampling using sensor networks. Recent advances in wireless sensor technology have enabled the usage of sensors to connect almost everything as a network. Sensor networks can be used as a spatial sampling device, that is, to faithfully represent distributed signals (e.g., a spatially varying phenomenon such as a temperature field). On top of that, the distributed signals can exist in space and time, where the temporal sampling is achieved using the sensor's analog-to-digital converters, for example. Each sensor has an independent sample clock, and its stability essentially determines the alignment of the temporal sampling grid across the sensors. Due to imperfection in the oscillators, the sample clocks drift from each other, resulting in the misalignment of the temporal sampling grids. To overcome this issue, we devise a mechanism to distribute the sample clock wirelessly. Specifically, we perform wireless clock synchronization based on the time-of-flight measurements of broadcast messages. In addition, clock synchronization also plays a central role in other time-based sensor network applications such as localization. Localization is increasingly gaining popularity in many applications, especially for monitoring environments beyond human reach, e.g., using robots or drones with several sensor units mounted on it. Consequently we now have to localize more than one sensor or even localize the whole sensing platform. Therefore, we extend the classical localization paradigm to localize a (rigid) sensing platform by exploiting the knowledge of the sensor placement on the platform. In particular, we develop algorithms for rigid body localization, i.e., for estimating the position and orientation of the rigid platform using distance measurements.

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    Signal Processing Seminar

    Censor, Sketch, and Validate for Learning from Large-Scale Data

    Georgios Giannakis
    Univ. of Minnesota

    We live in an era of data deluge. Pervasive sensors collect massive amounts of information on every bit of our lives, churning out enormous streams of raw data in various formats. Mining information from unprecedented volumes of data promises to limit the spread of epidemics and diseases, identify trends in financial markets, learn the dynamics of emergent social-computational systems, and also protect critical infrastructure including the smart grid and the Internets backbone network.

    While Big Data can be definitely perceived as a big blessing, big challenges also arise with large-scale datasets. This talk will put forth novel algorithms and present analysis of their performance in extracting computationally affordable yet informative subsets of massive datasets. Extraction will effected through innovative tools, namely adaptive censoring, random subset sampling (a.k.a. sketching), and validation. The impact of these tools will be demonstrated in machine learning tasks as fundamental as (non)linear regression, classification, and clustering of high-dimensional, large-scale, and dynamic datasets.


    Georgios B. Giannakis received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications in the ECE Department, and serves as director of the Digital Technology Center.

    His general interests span the areas of communications, networking and statistical signal processing subjects on which he has published more than 380 journal papers, 650 conference papers, 20 book chapters, two edited books and two research monographs (h-index 115). Current research focuses on big data analytics, wireless cognitive radios, network science with applications to social, brain, and power networks with renewables.

    He is the (co-) inventor of 22 patents issued, and the (co-) recipient of 8 best paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award, the G. W. Taylor Award for Distinguished Research from the U. of Minnesota, and the IEEE Fourier Technical Field Award (2015). He is a Fellow of IEEE and EURASIP, and has served the IEEE in a number of posts including that of a Distinguished Lecturer for the IEEE-SP Society.

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    PhD Thesis Defence

    Rene Poelma

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    MSc Thesis Presentation

    Multi-Domain SystemC Model of a Neural Interface

    Kiki Wirianto

    Neural networks have been investigated by researchers for several decades. Microelectrodes and neural interface are used to obtain the informations contained in the neuronal networks activity, which can be used to control neural prosthetic devices. This field has developed rapidly and the current research is focusing on multi-channel implementation of neural interface system to monitor the activity of a large number of neurons simultaneously.

    Area and safety are two main constraints in the design of neural interface electronics. The chip area constrain is important to minimize the severity of the surgery and limit the displacement of the brain caused by the implanted device. The safety constrain is critical in avoiding the damage to the brain tissue. Both constrains create a limitation on the power consumption of the neural interface system. This limited power budget needs to be utilized carefully to implement a design with low noise and high data rate with as few computational resources as possible. An efficient design allows a large number of channels to be implemented within the allowed power budget.

    This thesis proposes behavioral models of the electrode and the neural interface front-end, a part which precondition the neural signals before they are further processed and stored. The functionality of the proposed models are verified and, together with a power estimation model, they are used to perform a system study to investigate the trade-offs between neural interface design parameters.

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    PhD thesis defence Wannaya Ngamkham

    Analog Integrated Circuit and System Design for a Compact, Low-Power Cochlear Implant

    Wannaya Ngamkham

    Cochlear Implants (CIs) are prosthetic devices that restore hearing in profoundly deaf patients by bypassing the damaged parts of the inner ear and directly stimulating the remaining auditory nerve fibers in the cochlea with electrical pulses. This thesis describs the electronic circuit design of various modules for application in CIs in order to save area, reduce power consumption and ultimately move towards a fully implantable CI.

    To enhance the perception of tonal languages (such as Thai and Chinese) and music, an effort to realize the speech processor in a CI that imitates the inner hair cells and the auditory nerve behaviour more precisely should be made. According to recent physiological experiments, the envelope and phase of speech signals are required to enhance the perceptive capability of a CI implanted patient. The design of an analog complex gammatone filter is introduced in order to extract both envelope and phase information of the incoming speech signals as well as to emulate the basilar membrane behavior. A subthreshold Gm−C circuit topology is selected in order to verify the feasibility of the complex gammatone filter at very low power operation.

    Several speech encoding strategies like continuous time interleaved sampling (CIS), race-to-spike asynchronous interleaved sampling (AIS), phase-locking zero-crossing detection (PL-ZCD) and phase-locking peak-picking (PL-PP) are studied and compared in order to find a compact analog speech processor that allows for full implantation and is able to convey both time and frequency components of the incoming speech to a set of electrical pulse stimuli. A comparison of the input and reconstructed speech signals in terms of correlation factor and hardware complexity pointed out that a PL-PP strategy provides a compact solution for the CI electronic hardware design since this strategy does not require a high precision envelope detector. A subthreshold CMOS peak-instant detector to be used in a PL-PP CI processor has been designed. Circuit simulations, using AMIS 0.35 􀀀m technology, show that the proposed detector can be operated from a 1.2 V supply and consumes less than 1 􀀀W static power for detecting a 5 kHz input signal. The output signal of the detector together with the input signal amplitude (the output of the band-pass of each channel) is expected to be used as control parameters in a stimulator for cochlear apical electrodes.

    To design stimulators that are implanted inside the body, there are very strict requirements on the size and power consumption. Therefore, it is important to convey as much charge as possible into the tissue while using an as low as possible supply voltage to minimize power consumption. A novel method for maximizing the charge transfer for constant current neural stimulators has been presented. This concept requires a few additional current branches to form two feedback loops to increase the output resistance of a MOS current mirror circuit that requires only one effective drain-source voltage drop. The main benefit we achieve for neural stimulation is the larger amount of charge that can be conveyed to the stimulation electrode. In other words, for the same amount of charge required, the supply voltage can be reduced. Also, a compact programmable biphasic stimulator for cochlear implants has been designed by using the the above concept and implemented in AMS 0.18 􀀀m high-voltage CMOS IC technology, using an active chip area of only 0.042 mm2. Measurement results show that a proper charge balance of the anodic and cathodic stimulation phases is achieved and a dc blocking capacitor can be omitted. The resulting reduction in the required area enables many stimulation channels on a single die.

    As the work laid out in this thesis produced only stand-alone modules, future work should focus on combining all these modules together to form an analog CI processor suitable for a fully implantable cochlear implant.

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    PhD Thesis Defence

    Blind Beamforming Techniques for Global Tracking Systems

    Mu Zhou

    In lower frequency bands, existing communication systems face unprecedented demands to accommodate more users in new applications. These growing demands exceed the designed system capacity and thus call for innovative solutions while keeping compatibility to the current setup to reduce the cost of users. For example, in the automatic identification system (AIS), satellite receivers are being used for expanding the service coverage of ship tracking to the global range, and similarly in the automatic dependent surveillance-broadcast (ADS-B) system for aircraft tracking. These systems are narrowband and originally designed in the last century, but they will continue to run for at least another couples of years without major updating of the user-side equipment.

    The new application of AIS considered in this thesis is Satellite AIS. The satellite runs in the low-earth orbit (LEO). On the satellite, receiving AIS signals becomes much more difficult than before: one has to combat in-cell and inter-cell interfering sources from the system itself. Interference suppression is the main topic of this thesis.

    Narrowband spatial beamforming techniques for antenna arrays are candidate solutions to this challenge. This thesis tries to develop new beamforming techniques with a simple structure and a low computational complexity. With these techniques, this thesis establishes a framework of multiuser reception for Satellite AIS.

    As a basic tool for the proposed algorithms in this thesis, a signed URV algorithm (SURV) is proposed for the basic problem of principal subspace computation and tracking as a replacement of the singular value decomposition (SVD). The updating and downdating of SURV is direct and simple. SURV has no issue of numerical stability unlike previous algorithms in linear algebra and shows consistent performance in both stationary and nonstationary cases.

    New blind beamforming techniques are proposed for separating overlapping packets in nonstationary scenarios. The connections between subspace intersection, oblique projection, the generalized SVD (GSVD), the generalized eigenvalue decomposition (GEVD), and SURV are exposed. Simulation and experimental results of the proposed algorithms are shown.

    In the remaining part of the thesis, the work developing the software simulation model and constructing the hardware platform is presented. The outputs of the work are used for the verification and validation of the proposed algorithms in this thesis.

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    MSc ME Thesis Presentation

    Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels

    Hongrun Zhang

    For energy management in wireless sensor networks, only the sensors with most informative measurements are activated to operate. How to select sensors that make good tradeoff between performance and energy consumption is what many researchers are focusing on. Existing solutions assume analog data model, i.e., the data from sensors collected by a center node, called fusion center, are analog measurements. In practical application, due to limitations of energy of sensors and bandwidth of wireless channel, original measurements are usually compressed before being transmitted to the fusion center. In addition, transmitted signals are usually distorted by wireless channel effects, therefore it is possible that the received data are corrupted with errors. In this thesis, we consider two compressive techniques: one-bit quantization and multi-bit quantization. In one-bit quantization, an indicator message is generated in a sensor according to whether the original measurement is larger than a threshold or not. In multi-bit quantization, the original measurements are quantized to multiple bits and only the most significant bits are reserved. The indicators or the most significant bits are then transmitted through realistic wireless channel to the fusion center for it to process. By these ways, the transmitted signals are digital, and they may flip into opposite values by the effects of wireless channels. For one-bit quantization case, we develop a sensor selection approach, based on convex programming. For multi-bit quantization, we extend the sensor selection to bit allocation and propose a novel algorithm to determine the number of bits to transmit for each sensors, which is also based on convex programming. In both cases we consider the effects of wireless channels, which are characterized as bit error rate. Particularly, for the multi-bit quantization, numerical results show that the bit allocation can further reduce the cost that we defined compared with existing solutions where transmitted data are assumed to be analog.

    PhD Thesis Defence

    Thesis defence Maryam Yazdan Mehr: Organic Materials Degradation

    Maryam Yazdan Mehr

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    MSc SS Thesis Presentation

    Speech Based Onset Estimation for Multisensor Localization

    Rodolfo Solera Urcuyo

    This work presents a study of a current problem in the field of audio processing: Source and receiver localization. Currently, this problem requires that either the onset time of the sources or the internal delay of the receivers are known. The algorithms studied here, take advantage of the structure of the time matrix, which contains the TOA of all the receivers with respect to all the sources, and finds the solution to the locations when the onset times are known. The problem here is then approached from a time difference of arrival (TDOA) perspective, which inherently cancels the onset times by subtracting the time of arrival (TOA) of a source at every receiver.

    An alternative approach is also proposed, which uses speech signals as calibration signals in order to estimate the onset times. Such an approach is based on an algorithm which uses artificial calibration signals to calculate the onsets. Those signals are known a-priori, which implies that an additional device which produces those signals is needed. Once both internal delays and onset times are known, the locations of both sources and receivers can be estimated using a current algorithm which is also described here

    MSc ME Thesis Presentation

    A 1 GSa/s Deep Cryogenic, Reconfigurable Soft-core FPGA ADC for Quantum Computing Applications

    Stefan Visser

    This project proposes a solution using a FPGA to create a soft-core ADC architecture. Except for some small resistors on the PCB, the ADC can be completely integrated into the reconfigurable hardware blocks of an FPGA. Therefore the ADC can be easily interfaced with the remainder of the digital circuitry, it can be scaled to the required sampling rate or resolution and it even allows ADCs with different specifications in one system.

    This approach allows calibration to each new environment the system is operating in, i.e. changes in voltage, temperature or chip can be calibrated out. We aim to show the effectiveness of our calibration techniques by operating the ADC both at room temperature and in a deep cryogenic environment at 4 Kelvin.

    MSc SS Thesis Presentation

    Automated Detection of Central Apnea in Preterm Infants

    Marina Nano

    In 2010, an estimated 14.9 million babies were born preterm, which amounted to 11.1% ofalllivebirths worldwide, ranging from about 5% in several European countries to 18% insomeAfrican countries. The rate of preterm births has increased remarkably. Prematurity of birth canpredispose neonates to undesirable cessations of breathing, a conditiontermed as Apnea ofPrematurity. The prevalence of this condition poses problems, becausewhen untreated orinadequately treated Apnea of Prematurity, may impair development.

    This thesis investigates theautomated central apnea detection in preterm infants based onraw waveform analysis of one-lead ECG and chest impedance signals. For this purpose,18 novel features and 34 features ofexisting research that characterize different aspectsof chest impedance and ECG signals wereextracted for automated apnea classification.Features aim to extract information regardingrespiratory and cardiac regularity, estimatedfrom chest impedance and ECG signals. Thesefeatures are indicators of some propertiesof cardio-respiratory physiology, which is notindependent of the presence of apnea andthus can be in turn used to classify apnea.

    Theobjective is to find the most discriminative subset of features from one-lead ECG and chestimpedance signals that can be usedby a machine-learning approach to study and accuratelydetect central apnea. This wasachieved by applying feature selection algorithms in order toremove redundant or irrelevant features without incurring much loss of information.

    In thisthesis, nine hours of continuously recorded data of ten very low-birth-weight infants (birth weight< 1,500 gr) undergoing continuous cardiopulmonary monitoring in the NICU at Maxima MedischCentrumfrom 2008 were included in the analysis. The dataset was annotated by twoneonatologists.Results from this work indicate that the analysis of chest impedance and ECGsignals witha support vector machine can automatically detect Apnea of Prematurity.

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    MSc SS Thesis Presentation

    Blind Segmentation of Time-Series

    Vana Panagiotou

    Change-point detection is an indispensable tool for a wide variety of applications whichhas beenextensively studied in the literature over the years. However, the development ofwireless devices andminiature sensors that allows continuous recording of data poses newchallenges that cannot beadequately addressed by the vast majority of existing methods.

    In this work, we aim to balancestatistical accuracy with computational efficiency, by developing a hierarchical two-level algorithmthat can significantly reduce the computationalburden in the expense of a negligible loss of detectionaccuracy. Our choice is motivatedby the idea that if a simple test was used to quickly select somepotential change-pointsin the first level, then the second level which consists of a computationallymore expensive algorithm, would be applied only to a subset of data, leading to a significant run-timeimprovement. In addition, in order to alleviate the difficulties arising in high-dimensionaldata, we use adata selection technique which gives more importance to data that are moreuseful for detectingchanges than to others.

    Using these ideas, we compute a detectionmeasure which is given as theweighted sum of individual dissimilarity measures and wepresent techniques that can speed up somestandard change-point detection methods.Experimental results on both artificial and real-world datademonstrate the effectivenessof developed approaches and provide a useful insight about thesuitability of some of thestate-of-the-art methods for detecting changes in many different scenarios.

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    MSc ME Thesis Presentation

    Thermally Driven Sound Source: Application of CNT nanofoams

    Hengqian (Daniel) Yi

    MSc ME Thesis Presentation

    Wafer Scale Flexible Interconnect Fabrication for Heterogeneous Integration

    Jian Li

    International Symposium on Bioelectronics and Bioinformatics

    Getting better with electroceuticals: implantable and injectable electronics to the rescue

    Wouter Serdijn

    The 21st century will be the century in which we will unravel the intricacies of the brain and in which we will use electricity to interact with our electro-chemical mainframe better. In this talk Prof. Serdijn will explain how electroceuticals, the electronic counterparts of pharmaceuticals, can help to successfully treat neurological disorders. Further, he will sketch a technological avenue of their future development by making electroceuticals smaller, more energy efficient and more intelligent. Examples will be given for fully-implantable bionic ears and neurostimulators for the treatment of tinnitus, Tourettes syndrome and epilepsy.

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    ECTM Fall meeting

    Quantum to brain

    Juan Alfaro Barrantes, Daniel Yi, Marta Kluba, William Quiros Solano

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    MSc ME Thesis Presentation

    Highly Accurate Synchronization Over Ethernet

    Jeroen Somers

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    Microelectronics Colloquium

    Extreme Electronics

    Fabio Sebastiano, Vasiliki Giagka, Daniele Cavallo

    Please Register if you want to join the colloquium.
    During the Microelectronics Colloquium "Extreme Electronics". Three new Assistant Professors (Tenure Tracker) of the Microelectronics Department will present a lecture in this context.

    This will be a good occasion to meet the new staff members and learn about their research. There will be a drink afterwards as well.

    Vasiliki Giagka - Active Implantable Microsystems
    Implantable devices have been part of our lives for many decades now. The understanding of the electrical properties of the transmitted signals in our bodies have given researchers ideas on how to interface with them by using electronics. The concept of active implants refers to the miniaturisation of the electronics and their integration into microsystems suitable to live in our bodies. These devices can be employed to write signals to the body, inhibit undesired functionality for target organs, or read signals that convey the intention of our organism. This talk will focus on presenting some of the main applications and possibilities of active implants, and will discuss the challenges related to implantable microsystems, through the example of the design, fabrication and evaluation of a stimulating active electrode array for rehabilitation of walking after spinal cord injury

    Daniele Cavallo - Towards the implementation of Integrated,On Chip Terahertz Systems
    Terahertz (THz) sources and detectors have been developed in the last years for applications such as space observation, spectroscopy and security screening. However, until now, the components for making such THz systems have been very bulky and pricey, and thus not suitable for cost-driven commercial applications of THz technology. In the next years, my research will be focused on the development of low-cost, efficient and highly-integrated THz systems. On the one hand, the rapid scaling of CMOS and SiGe BiCMOS will eventually enable the realization of low-cost THz electronics. On the other hand, a careful co-design of the electronic circuit, the antenna and the quasi-optical system is crucial to bring real advances in this field. An overview on the ongoing research activities on integrated THz transceivers will be presented, with emphasis on novel solutions to improve the efficiency of on-chip antennas.

    Fabio Sebastiano - Cryogenic CMOS for Quantum Computers
    Quantum computers hold the promise to change our everyday lives in this century in the same radical way as the classical computer did in the last century, by efficiently solving problems that are intractable today, such as large number factorization and simulation of quantum systems. Quantum processors must be cooled at cryogenic temperatures well below 1 K and each of their quantum bits (qubit) must be controlled by a classical electronic interface. Since future quantum processors with practical applications will require up to thousands or millions of quantum bits (qubit), the electronic controller must operate at cryogenic temperatures as close as possible to the quantum processor, to avoid the unpractical requirement of thousands of cables from the cryogenic refrigerator to a room-temperature controller. This talk will address the challenges of building such a scalable silicon-based cryogenic electronic controller, focusing on to use standard CMOS technology to build complex analog and digital systems and circuits operating down to 4 K and below.

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    PhD Thesis Defence

    Thermal-Aware Design and Runtime Management of 3D Stacked Multiprocessors

    Sumeet Kumar

    This dissertation presents architectural techniques to enable the realization of efficient, high-performance chip multiprocessors, and facilitate runtime temperature management to ensure their dependable operation. Most importantly, it provides new insights into the complex thermal behaviour of 3D ICs, and illustrates how the design space of stacked die architectures can be effectively explored in order to maximize performance in the dark silicon era. This dissertation consists of two main themes, architecture and temperature.

    The thesis addresses the following questions.

    • How can the performance and efficiency of on-chip memory operations in multiprocessors be improved?
    • How do the physical design parameters in Nagatas equation affect the thermal behavior of 3D Integrated Circuits?
    • How can the knowledge of thermal behaviour be effectively leveraged in the design of 3D stacked multiprocessors?
    • How can the architecture and operating parameters be efficiently adapted at runtime to mitigate the severity of thermal issues, and improve execution performance?

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    PhD thesis defence Yongjia Li

    Level-Crossing ADCs and their Applications in Biomedical Readout Systems

    Yongjia Li

    Chapter 1 introduces the background of the thesis topic. The basic knowledge of level-crossing sampling is described. In a wireless sensor node, the system power consumption is usually dominated by the wireless power transmission. Reducing the data size is crucial to save system power consumption under such circumstances. Therefore, a comparison between conventional uniform sampling and level-crossing sampling is made in terms of sampling data size. For low resolution (< 7 bits) in amplitude, LC-ADCs generate fewer samples than uniform-sampling ADCs for various biomedical signals (ECG, EEG, EMG, ECoG). Furthermore, the design challenges and motivation of realizing a level-crossing sampling based readout system are described.

    Chapter 2 reviews and analyzes previously reported LC-ADCs from different aspects. Based on various window detection methods and feedback DACs, LC-ADCs are classified into various groups. Advantages and disadvantages of each structure are discussed. Since LC-ADCs work in the continuous-time domain without a clock, conventional offset cancellation topologies are not applicable. Therefore, LC-ADCs with automatic onchip offset calibration are reviewed. Moreover, LC-ADCs with various system applications are discussed.

    Two standalone level-crossing ADCs for biomedical applications are presented in Chapter 3 and Chapter 4, respectively. A single-bit charge accumulation DAC is proposed to save power consumption while relaxing the settling time requirement. Asymmetrical window detection allows the two comparators to consume power more efficiently without sacrificing performance. Innovations at both system level and circuit level pave the way to low-power operation for the LC-ADC. The circuits have been designed and fabricated in AMS 0.18 mm CMOS IC technology. Compared to other LC-ADCs, lower power consumption and less design complexity have been achieved due to the proposed topologies. The event-driven nature makes the proposed ADC very suitable for biomedical applications.

    Chapter 5 presents the system integration of an LC-ADC. An ECG recording system with level-crossing sampling is proposed. The system is a voltage and current mixed-mode system. The LNA with fully balanced pseudo-resistors provides good linearity. Resolving the input signal further in the current domain allows for a large dynamic range while operating from a low-voltage supply, avoids leakage and offers more design flexibility. The use of a current feedback DAC eases the integration of calibration blocks in the continuous-time domain. The circuit has been designed and fabricated in a 0.18 μm CMOS IC technology. The proposed system is also very suitable for other biomedical applications where the signals are sparse.

    In the final chapter, the thesis is summarized and concluded. The measurement results confirm the effectiveness of the techniques presented in this thesis. Last but not least, possible improvements and research fields that are related to this work are discussed. Suggestions for future work are made.

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    Microelectronics Colloquium

    Remotely powered sensor networks and RFIDs for medical and telecoms applications

    Catherine Dehollain
    EPFL Lausanne, RFIC Group, Switzerland

    Remotely powered systems are used in a lot of different applications, and in particular in the medical and telecoms fields. The main principle of remote powering is to get energy by magnetic, electro-magnetic or electro-acoustic coupling between the sensor node and the base station. Each scenario of use implies a custom-design approach due to the fact that the distance of operation between the sensor node and the base station as well as the maximum targeted volume of the sensor node dictate the choice of the frequency for remote powering and for data communication. Moreover, one single frequency approach for which the same frequency is used for remote powering and data transmission has to be compared to a two frequency solution by taking into account the data rate for communication as well as the power consumption of the sensor node. All these different aspects will be discussed in this talk by starting from a system level approach down to the transistor implementation including the design of the antennas.

    Professor Catherine Dehollain received the Degree in electrical engineering in 1982 and the Ph.D. degree in 1995 from EPFL. From 1982 to 1984, she was a Research Assistant at the Electronics Laboratories (LEG), EPFL. In 1984, she joined the Motorola European Center for Research and Development, Geneva, Switzerland, where she designed integrated circuits applied to telecommunications. In 1990, she joined EPFL as a Senior Assistant at the "Chaire des Circuits et Systemes," where she was involved in impedance broadband matching. Since 1995, she has been responsible for the EPFL-RFIC Group. She has a large experience in CMOS analog and RF circuits design as well as in the design of antennas, coils and transformers. She has participated to different European FP6 and FP7 projects. She has been the project leader of the Swiss CAPED project dedicated to the design of a capsule for the tracking motility in the gastrointestinal (GI) tract. She has been the coordinator of the FP7 UltraSponder project dedicated to the design of a remotely powered sensor by using ultrasonic waves to monitor the heart health conditions. She is involved in different biomedical projects and wireless communication projects.

    MSc BME Thesis Presentation

    Application of Ultrasound to Remove Thrombi from a Left Ventricular Assist Device (LVAD)

    Arundhati Radhakrishnan

    Due to limited number of donor hearts and stringent eligibility criteria for heart transplant the Left ventricular assist device (LVAD) has emerged as a relevant treatment option for heart failure. Occlusion in the form of a thrombus (blood clot) is a feared complication associated with the LVAD. The ability of ultrasound to result in effects like cavitation, which is hypothesized to be one of the mechanisms contributing to sonothrombolysis(ultrasound mediated thrombolysis) forms the basis of proposing a solution wherein ultrasound is used to remove thrombi from the LVAD. The proposed solution entails catheter delivery of ultrasound into the LVAD to break down the thrombus.

    In this master thesis an experimental setup to conduct sonothrombolysis tests on in vitro clots has been realized. In order to understand the mechanism contributing to a high degree of sonothrombolysis a commonly used method - passive cavitation detection is also employed. In the final experiments sonothrombolysis and passive cavitation detection tests are conducted on two sets of 6 clots each. For majority of the clots, sonothrombolysis occurs at a peak negative pressure of 2.71MPa - 3.18 MPa. Clots which underwent a high degree of sonothrombolysis were always accompanied by high counts and violent movement. We assume the intermittent spikes termed as cavitation events being counted are due to physical effects like inertial bubble collapse, shockwaves and microjets, which are characteristic of inertial cavitation. Hence we can conclude that the high counts are indicative of inertial cavitation and play a dominant role in achieving a high degree of sonothrombolysis. The results of this master thesis provide experimental evidence as to why a certain threshold of peak negative pressure must be attained in order to achieve a high degree of sonothrombolysis. This evidence can be utilized in the next step of catheter design. At this stage it can be said that the application of ultrasound to remove thrombi from the LVAD will prove to be successful if high intensity ultrasound resulting in inertial cavitation can be delivered to the site of the thrombi formation in the LVAD.

    MSc thesis presentation Sander Fondse

    Sleeping Wireless Energy Transfer and Trickle Charging

    Sander Fondse

    In a world of improving health care, some diseases are still very hard to diagnose. The most common reasons for this problem is the fact that those diseases are non-symptomatic. To gain better diagnoses of such illnesses long term ExG by using bio-medical implants is a good option. These implants have to be powered by a wireless power link. This thesis analyses the possibilities for the development of a wireless transfer system that can transfer at least 360 Wh of energy within six hours through the air and into tissue tissue. After analysis of the influence of the environment on the wave efficiency it is proven that resonant magnetic transfer is the best option for the given scenario. 13.56 MHz is chosen as operating frequency. Energy for the implant is needed at DC level, therefore a rectifier layout is analysed, designed and built out of discrete parts. With the use of discrete components and hand-made inductors, the final operating frequency became 17.50 MHz. The laboratory equipment used restricted the maximum input voltage amplitude to 4.56 V. The final result of this thesis is a prototype wireless energy transfer system that generates a maximum of 75.9 W of power continuously at a power efficiency of 10.1 percent at a distance of 15 mm.At a distance of 75 mm, the maximum output power was still equal to 2 W. The power efficiency at 75 mm distance is equal to 0.29 percent, which means that to generate 360 Wh within six hours the input power must be at least 25.9 mW, a value that can easily be reached without causing flicting damage to human tissue or the system itself. This proves that magnetically coupled inductor systems can be used for the future development of autonomous ExG implants.

    MSc TC Thesis Presentation

    Sparse Arrays: Vector Sensors and Design Algorithms

    Shilpa Rao

    Direction-of-arrival (DOA) estimation of acoustic sources is of great interest in a number of applications. Acoustic vector sensors (AVSs) provide an edge over traditional scalar sensors since they measure the acoustic velocity field in addition to the acoustic pressure. It is known that a uniform linear array (ULA) of M conventional scalar sensors can identify up to M-1 DOAs. However, using second-order statistics, the class of sparse scalar sensor arrays have been shown to identify more source DOAs than the number of sensors. In this thesis, we extend these results using sparse AVS arrays. We first assume that the sources are quasi-stationary and use the Khatri-Rao subspace approach to estimate the source DOAs. In addition, a spatial-velocity smoothing technique is proposed to estimate the DOAs of stationary sources. For both scenarios, we show that the number of source DOAs that can be identified is significantly greater than the number of physical vector sensors. The second problem considered in this thesis is sensor selection for non-linear models. It is often necessary to guarantee a certain estimation accuracy by choosing the best subset of the available set of sensors. A non-linear measurement model in additive Gaussian noise is considered. To solve the sensor selection problem, which is inherently combinatorial, a greedy algorithm based on submodular cost functions is developed. The proposed low-complexity greedy algorithm is computationally attractive as compared to existing sensor selection solvers for non-linear models. The submodular cost ensures optimality of the greedy algorithm. Such a sensor selection can be applied, for example, to design sparse AVS arrays that also ensure a certain quality of the DOA estimates next to their identifiability.

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    PhD Thesis Defence

    Silicon Carbide Technologies applied to MEMS Nanoreactors for in-situ Transmission Electron Microscopy

    Bruno Morana

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    MSc ME Thesis Presentation

    Implementation of in-situ monitoring techniques for power reduction in smart sensors

    Guozhi Xu

    Nowadays, smart sensors are widely used in a variety of application domains, such as telecommunication, health care, cars, mobile phones, smart cities. Because of limited battery capacity, low-power design is required for smart sensors. Low-voltage operation is a key leverage to reduce power consumption in smart sensors. However, uncertainties due to process, voltage and temperature variations or random fluctuations gain in relevance when operating in the near-threshold range. Hence, monitoring of the actual silicon behavior is crucial to lowering supply voltage while preserving reliable operation. An interrupt-based in-situ monitoring approach is proposed in this thesis. This approach uses an interrupt service routine to stimulate the critical paths on the chip. By monitoring the timing of the exercised paths, a warning signal is generated to steer the control of reliable supply voltage levels. This approach is developed, validated and applied on an ARM-based processor. Finally, a 10 mV supply voltage margin is achieved based on measurements in the near-threshold range. In addition, reliable operation is verified by running different self-checking codes over multiple dies while varying the environmental conditions.

    MSc TC Thesis Presentation

    Software Defined Radio Receiver Design Developement for China Digital Radio

    Yun Wang

    (Thesis work done at NXP, Eindhoven)

    MSc SS Thesis Presentation

    Distributed Convex Optimization

    He Ming Zhang

    The Primal-Dual Method of Multipliers (PDMM) is a new algorithm that solves convex optimization problems in a distributed manner.This study focuses on the convergence behavior of the PDMM. For a deeper understanding, the PDMM algorithm was applied to distributed averaging and distributed dictionary learning problems. The results were compared to those of other state-of-the-art algorithms. The experiments show that the PDMM algorithm not only has a fast convergence rate but also robust performance against transmission failures in the network.Furthermore, on the basis of these experiments, the convergence rate of the PDMM was analyzed. Different attempts at proving the linear convergence rate were carried out. As a result, the linear convergence rate has been proven under certain conditions.

    MSc SS Thesis Presentation

    Heart Rate Variability Analysis based on Instantaneous Frequency Estimation

    Di Feng

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    PhD Thesis Defence

    Thesis defence Negin Golshani: New detector technology for SEM imaging (Silicon Drift Detectors using boron layer)

    Negin Golshani

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    Circuits and Systems for Electroceuticals

    Wouter Serdijn

    Invited talk at the 47th annual meeting of the Associazione Gruppo Italiano di Elettronica (GE Association)

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    PhD Thesis Defence

    Distributed Speech Enhancement in Wireless Acoustic Sensor Networks

    Yuan Zeng

    In digital speech communication applications like hands-free mobile telephony, hearing aids and human-to-computer communication systems, the recorded speech signals are typically corrupted by background noise. As a result, their quality and intelligibility can get severely degraded. Traditional noise reduction approaches process signals recorded by microphone arrays using centralized beamforming technologies. Recent advances in micro-electromechanical systems and wireless communications enable the development of wireless sensor networks (WSNs), where low-cost, low-power and multi-functional wireless sensing devices are connected via wireless links. Compared with conventional localized and regularly arranged microphone arrays, wireless sensor nodes can be randomly placed in environments and thus cover a larger spatial field and yield more information on the observed signals. This thesis explores some problems on multi-microphone speech enhancement for wireless acoustic sensor networks (WASNs), such as distributed noise reduction processing, clock synchronization and privacy preservation.

    First, we develop a distributed delay-and-sum beamformer (DDSB) for speech enhancement in WASNs. Due to limited power of each wireless device, signal processing algorithms with low computational complexity and low communication cost are preferred in WASNs. Distributed signal processing allows that each node only communicates with its neighboring nodes and perform local processing, where communication load and computational complexity are distributed over all nodes in the network. Without central processor and network topology constraint, the DDSB algorithm estimates the desired speech signal via local processing and local communication. The DDSB algorithm is based on an iterative scheme. More specifically, in each iteration, pairs of neighboring nodes update their estimates according to the principle of traditional delay-and-sum (DSB) beamformer. The estimation of the DDSB converges asymptotically to the optimal solution of the centralized beamformer. However, experimental study indicates that the noise reduction performance of the DDSB is at the expense of a higher communication cost, which can be a serious drawback in practical applications.

    Therefore, in the second part of this thesis, a clique-based distributed beamformer (CbDB) has been proposed to reduce communication costs of the original DDSB algorithm. In the CbDB, nodes in two neighboring non-overlapping cliques update their estimates simultaneously per iteration. Since each non-overlapping clique consists of multiple nodes, the CbDB allows more nodes to update their estimates and leads to lower communication costs than the original DDSB algorithm. Furthermore, theoretical and experimental studies have shown that the CbDB converges to the centralized beamformer and is more robust for sensor nodes failures in WASNs.

    In the third part of this thesis, we propose a privacy preserving minimum variance distortionless response (MVDR) beamformer for speech enhancement in WASNs. Different wireless devices in WASNs generally belong to different users. We consider a scenario where a user joins the WASN and estimates his desired source via the WASN, but wants to keep his source of interest private. To introduce a distributed MVDR beamformer in such scenario, a distributed approach is first proposed for recursively estimation of the inverse of the correlation matrix in randomly connected WASNs. This distributed approach is based on the fact that using the Sherman- Morrison formula, estimation of the inverse of the correlation matrix can be seen as a consensus problem. By hiding the steering vector, the privacy preserving MVDR beamformer can reach the same noise reduction performance as its centralized version.

    In the final part of this thesis, we investigate clock synchronization problems for multi-microphone speech enhancement in WASNs. Each wireless device in WASNs is equipped with an independent clock oscillator, and therefore clock differences are inevitable. However, clock differences between capturing devices will cause signal drift and lead to severe performance degradation of multi-microphone noise reduction algorithms. We provide theoretical analysis of the effect of clock synchronization problems on beamforming technologies and evaluate the use of three different clock synchronization algorithms in the context of multi-microphone noise reduction. Our experimental study shows that the achieved accuracy of the three clock synchronization algorithms enables sufficient accuracy of clock synchronization for the MVDR beamformer in ideal scenarios. However, in practical scenarios with measurement uncertainty or noise, the output of the MVDR beamformer with time-stamp based clock synchronization algorithms gets degraded, while the accuracy of signal based clock synchronization algorithms is still enough for the MVDR beamformer, albeit at a much higher communication cost.

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    PhD Thesis Defence

    Thesis defence Giuseppe Fiorentino

    Giuseppe Fiorentino

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    PhD Thesis Defence

    On the Control of Surface Waves in Integrated Antenna: Analysis and Design Exploiting Artificial Dielectric Layers

    Waqas Syed

    In the design of planar antennas, good front-to-back radiation ratio can be achieved by loading the radiating element with an electrically thick and dense dielectric slab. However, this leads to significant coupling of power into surface wave modes, via those rays that are radiated by the antenna at angles greater than the critical angle, thus deteriorating the antenna radiation performances.

    In this dissertation, a planar methodology to solve the issue of surface waves is presented, which can be used to obtain simultaneously high radiation efficiency and good front-to- back radiation ratio. This consists in engineering anisotropic equivalent materials, referred to as artificial dielectric layers (ADL), and use them to enhance the performance of planar antennas. A practical planar realization of this concept can be achieved by embedding inside the host dielectric a periodic array of sub-wavelength square metal patches in a multilayer configuration. In this work, the main aspects pertaining to the theoretical development and the practical implementation of ADLs are investigated.

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    PhD Thesis Defence

    Thesis defence Saeed Khosferat Pakazad

    Saeed Khoshfetrat Pakazad

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    PhD Thesis Defence

    Quasioptical Imaging Systems at THz Frequencies

    Beatriz Blázquez

    The Terahertz gap is the portion of the spectrum lying between 300 GHz and 3 THz. The initial development of Terahertz technology was driven by Space-based instruments for astrophysics, planetary, cometary and Earth science. However, in recent years, the interest of Terahertz science has been rapidly expanded due to the emergence of new applications as secure screening of concealed weapons for military and civil purposes, biological screening, medical imaging, industrial process control and communication technology, to mention some of them. A common characteristic of THz systems is that all of them use quasioptical elements to focus the beams and achieve sufficient signal-to-noise ratios.

    This doctoral thesis has focus on the analysis and development of quasioptical systems for two different types of THz applications: direct detection for space and heterodyne imaging for security. In the first part, THz absorbers-based detectors for space applications are studied. As this type of detectors can only be studied in reception, their analysis, when located under focusing systems, is usually done by full wave simulations under normal incidence illumination. This method does not describe well the actual coupling to the focusing element when the F/D ratio of the system is relatively small. A spectral model based on Fourier optics has been developed for an accurate and efficient analysis of linear absorbers under THz focusing systems for both small and large F/D ratios. The second part of this thesis is devoted to the optical system of a THz imaging radar for security screening. The goal in this part was to provide an existing THz imaging radar with new capabilities by using quasioptical solutions that do not modify the scanning mechanism and the back-end electronics. On one hand, the radar has been provided with an all quasioptical waveguide that performs time-delay multiplexing of the beams, reducing the image acquisition time a factor of two by only adding some extra optical elements to the system. Furthermore, the feasibility of this technique to be applied to large linear arrays of transceivers is proven. On the other hand, the radar was provided with refocusing capabilities by implementing the classical optical solution of translating the transceiver.

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    CMOS and SiGe RFICs for Microwave and MM-Wave Phased Arrays

    Gabriel M. Rebeiz, University of California, San Diego

    This talk will present the latest work on microwave and mm-wave phased arrays and imaging systems at UCSD. The talk shows that one can build large phased arrays on a single chip covering distinct frequency bands, from 2 GHz to > 94 GHz, using commercial CMOS and SiGe processes. Typical designs include an 8-element 8-16 GHz SiGe phased array receiver, a 16-element Tx/Rx phased array at 42-48 GHz with 5-bit amplitude and phase control, and a 16-element Rx phased array at 77-84 GHz which includes a built-in-self-test system Also, an 8-20 GHz digital beam-former chip capable of multiple-beam operation and with high immunity to interferers will also be presented. IN terms of wafers-scale designs, 94 GHz and 110 GHz wafer-scale phased arrays will also be presented including high efficiency antennas. It will be shown that SiGe and CMOS has changed the way we think about phased arrays and imaging systems.

    Gabriel M. Rebeiz
    Distinguished Professor
    Wireless Communications Industry Chair
    Department of Electrical and Computer Engineering
    The University of California, San Diego

    PhD thesis defence

    Design of efficient and safe neural stimulators - a multidisciplinary approach

    Marijn van Dongen

    Neural stimulation is an established treatment methodology for an increasing number of diseases. Electrical Stimulation injects a stimulation signal through electrodes that are implanted in the target area of the central or peripheral nervous system in order to evoke a specific neuronal response that suppresses or treats pathological activity. This thesis discusses the design of neural stimulators: the device that is responsible for generating the stimulation signal in a safe, efficient and controlled manner. The design of such a device requires a highly multidisciplinary approach which involves disciplines such as neuroscience, electrophysiology, electrochemistry and electrical engineering.
    The first part of this thesis focuses on the processes associated with the neuronal recruitment. After describing the stimulation processes in detail at various levels, the discussion zooms in on the processes at the electrode-tissue interface and in particular the electrochemical behavior. Many neural stimulators include coupling capacitors between the stimulator and the electrodes to reduce the risk of potentially harmful electrochemical reactions. However, it is shown that coupling capacitors also have negative implications that need to be considered, such as a shift in the equilibrium potential of the electrode-tissue interface. Also, the reversibility of charge transfer processes at the electrode-tissue interface is analyzed. Most studies rely on monitoring the electrodetissue interface potential to determine the maximum reversible charge injection limits. By measuring the reversible charge in a more direct way, it was found that irreversible charge transfer processes already play a role for stimulation intensities that are well below the established charge injection limits.
    The extensive description of the stimulation process is furthermore used to introduce a fundamentally different stimulation paradigm. Instead of using a constant current or voltage to stimulate the electrodes, a high frequency, switched-mode stimulation signal is applied. The advantage of such a stimulation pattern is that it can be generated in a power efficient way by the neurostimulator circuit using switched-mode operation that is common in energy efficient amplifiers (class-D operation) or power management circuits. The efficacy of the proposed stimulation pattern is verified both using modeling as well as using in vitro measurements by analyzing the response of patch-clamped Purkinje cells.
    The second part of the thesis focuses on the electrical design of neural stimulators. The first system is designed to be used in a specific neuroscientific experiment and features arbitrary waveform stimulation. The user has full flexibility over the choice of stimulation waveform, while the stimulator circuit guarantees safety by ensuring charge balanced operation. The stimulator circuit is realized and included in a system implementation that is suitable for the in vivo experimental setup. The stimulation pulse (which uses a burst pattern) is synchronized with auditory stimulation in an attempt to recondition the neural pathways in a mouse that suffers from tinnitus.
    The second design implements the high-frequency switched-mode stimulation pattern that was introduced in the first part of the thesis. The system features an unfiltered forward buck-boost converter at its core to directly stimulate the target tissue. It is possible to operate the system with multiple independent channels that connect to an arbitrary electrode configuration, making the system well suited for current steering techniques. Furthermore, comprehensive control was implemented using a dual clock configuration that allows both autonomic tonic stimulation, as well as single shot stimulation. Each channel can be configured individually with tailored stimulation parameters and multiple channels can operate in a synchronized fashion. The system is power efficient, especially when compared with state-of-the-art constant current stimulators with an adaptive power supply that operate in multichannel mode. Efficiency improvements up to 200% compared with state of the art constant current stimulators are demonstrated. Furthermore, the number of external components required is reduced to a single inductor.

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    PhD Thesis Defence

    Fast qualification of solder reliability in solid state lighting system

    Jing Zhang

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    Antennas for Frequency Reconfigurable Phased Arrays

    PhD thesis defence

    Nadia Haider

    Sensors such as phased array radars play a crucial role in public safety. They are unavoidable for surveillance, threat identification and post-disaster management. However, different scenarios impose immensely diverse requirements for these systems. Phased array systems occupy a large space. In addition, if different antenna systems are needed for each function, the space required can be considerably large. For transportable platforms, such as ships and aircrafts, space and weight are at a premium. Therefore, reconfigurable multi-band antennas are very attractive solutions for future multi-function sensor systems. Within this research work three different approaches are investigated to realize antennas for reconfigurable phased arrays. Wideband antenna designs constitute the first approach. Integrating this type of antennas with frequency selective filters provide the opportunity for fine tuning within one radar band. The wideband operation of the antenna is achieved by the blind-via feeding section and the quasi electric-magnetic radiating structure. The second approach involves the design of an antenna element with p-I-n diode switches. The switches are used to alter the antenna structure and thereby the operating frequency. Measured results verified the frequency reconfigurable capability of the antenna within L/S radar bands with frequency ratio more than 2:1. The planar structure, the back feeding mechanism, the compact size and the simple bias network made the proposed antenna suitable for array applications. The large frequency ratio and its usability in phased array applications made the design novel. Furthermore, for these frequency reconfigurable elements, a unique multi-scale array structure is introduced which can assure wide angle scanning for both frequency bands. The advantage of this novel array configuration is twofold: reduce the Mutual couplings in the lower band, and increase the scanning volume for the higher band. A planar array demonstrator validated the proposed concept. In the third approach the operational band of an antenna is tuned by variableimpedance matching. In this study, the standard 50 Ω matching is avoided and many advantages of variable-impedance matching are demonstrated. First, the principle is verified by tuning the frequency band of a microstrip antenna by an input-impedance tuneable CMOS RF-frontend. In the second design a novel dual-band E-slot antenna,with 2.5:1 frequency ratio, was designed. By changing the input-impedance the operating frequency of the antenna can be switched from L- to S-band. Variable impedance matching provides few other advantages to phased array antennas. A scan-angle dependent impedance matching will assure low reflection coefficients for the entire scanning volume. On the other hand, it will reduce interfering and jamming signals coming from adjacent angles. The outcomes of this research work have led to solid understanding of how we can realize frequency reconfigurable antennas for adaptive phased arrays. The results will be particularly valuable in developing future narrow or wide beam radar systems with frequency reconfiguration and angular filtering capabilities.

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    PhD Thesis Defence

    Thesis defence Aslihan Arslan

    Aslihan Arslan

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    Sense of Contact

    Sensing and Stimulating the Body with Electroceuticals

    Wouter Serdijn

    The 21st century will be the century of unravelling the intricacies of the brain and in which we will explore the use of electricy to interact with our electro-chemical mainframe better. In this talk I will explain how electroceuticals, the electronic counterparts of pharmaceuticals, can help to successfully treat neurological disorders. Further, I will sketch a technological avenue of their future development by making electroceuticals smaller, more energy efficient and more intelligent.

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    MSc ME Thesis Presentation

    Master thesis defence Nikolas Gaio

    Nikolas Gaio

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    QuTech Seminar

    Designs for quantum information hybrid devices and systems

    Prof. Kae Nemoto
    National Institute of Informatics, Quantum Information Sciences, Tokyo, Japan

    There have been many architectures for quantum computer and quantum information devices proposed, yet we face a gap between these proof-of-principle idea and feasible quantum devices. We focus on an integrated cavity device based on a single diamond NV center to identify the problems and obstacles by integrating necessary elements to perform computational tasks.

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    PhD Thesis Defence

    Compressive Power Spectral Analysis

    Dyonisius Dony Ariananda

    The main focus of this thesis is on the reconstruction of the second-order statistics (including correlations and power spectrum) from digital samples produced by compressive sampling a.k.a. sub-Nyquist-rate sampling. Note that it has been known that compressive sampling offers substantial assistance in sampling rate reduction, which is important when we deal with signals having a very large bandwidth.

    What interests us is that there are applications where the sampling still needs to be done at sub-Nyquist rate (due to the high bandwidth of the signal of interest) but where the second-order statistics (instead of the original signal) are of interest. One application is, for instance, spectrum sensing for a cognitive radio network, which is a network where unlicensed radio systems opportunistically search for a currently unoccupied frequency band in the licensed spectrum and then borrow these discovered white spaces to establish a communication link. This spectrum sensing is continuously performed by these unlicensed systems since they have to monitor when the actual owners of the borrowed bands (called licensed users) become suddenly active, in which case the unlicensed radios have to vacate the spectrum. In this application, sampling the signal at sub-Nyquist rate is of interest since the spectral range that has to be sensed is generally very wide. However, note that the unlicensed radio systems are never interested in the original signal of the licensed users occupying the bands to be monitored. This implies that a power spectrum plot describing which frequency bands are occupied together with the amount of power in the occupied bands is more than enough and any efforts to reconstruct the original signal in this application will be overkill. We show that power spectrum reconstruction of WSS signals below the Nyquist rate is possible without any additional constraints on the original signal or the power spectrum.

    Other applications are the estimation of directions-of-arrival from more sources than antennas.

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    Signal processing mini-symposium

    Roberto Lpez Valcarce, Visa Koivunen, Yonina Eldar
    University of Vigo, Vigo, Spain. Aalto University, Helsinki, Finland. Technion, Haifa, Israel.

    Facilitator: Prof. dr. ir. Geert Leus, Circuits and Systems group

    1. Carving the Multicarrier Spectrum

    Roberto Lpez Valcarce University of Vigo, Vigo, Spain

    Multicarrier modulation has become the format of choice in modern high-speed wireless and wireline systems, due to its many well-known qualities. Nevertheless, the large IFFT sidelobes result in substantial leakage across subcarriers with the ensuing adjacent channel interference. The usual approach of deactivating a number of guard subcarriers at the edges of the signal spectrum is very inefficient in terms of data rate. In order for OFDM to be adopted by future high-performance systems, e.g., 5G, a number of enhancements will become necessary to overcome this and other drawbacks. The leakage problem is also of concern in wideband OFDM-based cognitive systems, in which deep notches must be sculpted in the spectrum to avoid interfering to narrowband licensed users. Judiciously modulating (a few) cancellation subcarriers in order to reduce leakage is an appealing alternative, which originally incurred in high online implementation complexity. We will review this Active Interference Cancellation approach and present efficient designs recently developed in our group, with extensions to linear symbol precoding.

    Roberto Lopez-Valcarce received the Ph.D. degree in electrical engineering from the University of Iowa, Iowa City, in 2000. He was a Postdoctoral Fellow of the Spanish Ministry of Science and Technology from 2001 to 2006, with the Signal Theory and Communications Department, University of Vigo, Spain, where he currently is an Associate Professor. His main research interests lie in the areas of adaptive signal processing, digital communications, and sensor networks, having coauthored over 50 papers in leading international journals. He holds several patents in collaboration with industry. Roberto was the recipient of a 2005 Best Paper Award of the IEEE Signal Processing Society. He served as an Associate Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING from 2008 to 2011, and as a member of the IEEE Signal Processing for Communications and Networking Technical Committee from 2011 to 2013.

    2. Optimal Array Signal Processing in the Face of Non-Idealities

    Visa Koivunen Aalto University, Helsinki, Finland

    In this talk we describe techniques that facilitate applying high performance array processing algorithms using real-world sensor arrays with nonidealities. The theoretical background is in wavefield modeling that allows one to develop computationally-efficient and asymptotically-optimal array processing methods regardless of the array geometry (conformal arrays). Wavefield modeling also facilitates incorporating array nonidealities into array processing methods and performance bounds. Parameter estimation and beamforming in the azimuth-elevation-polarimetric domain will be addressed. We acquire a realistic array steering vector model by taking into account array nonidealities such as mutual coupling, mounting platform reflections, cross-polarization effects, errors in element positions as well as individual directional beampatterns. This facilitates achieving optimal or close-to-optimal performance and retaining high-resolution capability despite the nonidealities. Moreover, tighter performance bounds may be established for parameter estimation. We describe how the various approaches can be applied in practice in the context of high-resolution direction finding as well as beamforming so that problems related to beamsteering, SOI and interference cancellation are mitigated. This is joint work with Dr. Mario Costa.

    Visa Koivunen received his Ph.D in electrical engineering from the University of Oulu, Finland. He was visiting researcher at the Univ of Pennsylvania in 1992-1995. Since 1999 he has been full professor of signal processing at Aalto University (Helsinki Univ of Technology), Finland where he currently holds the Academy Professor position. He has been an adjunct professor at Penn and visiting fellow at Nokia Research Center. He has spent multiple research visits and sabbaticals terms at Princeton University. His research interests include statistical, communication and array signal processing. Dr. Koivunen is an IEEE Fellow and 2015 IEEE SPS Distinguished Lecturer. He received the 2007 IEEE Signal Processing Society best paper award.

    3. Sub-Nyquist Sampling: Bounds, Algorithms and Hardware

    Yonina Eldar Technion, Haifa, Israel

    The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal processing. However, in many modern applications, the signal bandwidths have increased tremendously, while the acquisition capabilities have not scaled sufficiently fast. Consequently, conversion to digital has become a serious bottleneck. Furthermore, the resulting high rate digital data requires storage, communication and processing at very high rates which is computationally expensive and requires large amounts of power. In this talk, we present a framework for sampling and processing a wide class of wideband analog signals at rates far below Nyquist. We refer to this methodology as sampling:combination of compression and sampling, performed simultaneously.

    Using the Cramer-Rao bound we develop a generic low-rate sampling architecture that is optimal in a mean-squared error sense, and can be applied to a wide variety of wideband inputs. The resulting system can be readily implemented in hardware, and is easily modified to incorporate correlations between signals. We consider application of these ideas to a variety of problems including low rate ultrasound imaging, radar detection, ultra wideband communication, and cognitive radio, and show several demos of real-time sub-Nyquist prototypes.

    Yonina Eldar received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering both from Tel-Aviv University (TAU), Tel-Aviv, Israel, in 1995 and 1996, respectively, and the Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002. She is currently a Professor in the Department of Electrical Engineering at the TechnionIsrael Institute of Technology, Haifa. She is also a Research Affiliate with the Research Laboratory of Electronics at MIT and a Visiting Professor at Stanford University, Stanford. Dr. Eldar was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. In 2004, she was awarded the Wolf Foundation Krill Prize for Excellence in Scientific Research, in 2005 the Andre and Bella Meyer lectureship, in 2007 the Henry Taub Prize for Excellence in Research, in 2008 the Hershel Rich Innovation Award, the Award for Women with Distinguished Contributions, the Muriel & David Jacknow Award for Excellence in Teaching, and the Technion Outstanding Lecture Award, in 2009 the Technion's Award for Excellence in Teaching, in 2010 the Michael Bruno Memorial Award from the Rothschild Foundation, and in 2011 the Weizmann Prize for Exact Sciences. In 2012 she was elected to the Young Israel Academy of Science and to the Israel Committee for Higher Education, and elected an IEEE Fellow. In 2013 she received the Technion's Award for Excellence in Teaching, the Hershel Rich Innovation Award, and the IEEE Signal Processing Technical Achievement Award. In 2014 she was awarded the IEEE/AESS Fred Nathanson Memorial Radar Award. She received several best paper awards together with her research students and colleagues. She is the Editor in Chief of Foundations and Trends in Signal Processing. In the past, she was a Signal Processing Society Distinguished Lecturer, a member of several Signal Processing technical committees, and an associate editor for several IEEE and SIAM journals.

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    MEST Symposium


    Symposium on silicon technology -where speakers from industry, academia and from leading researchcenterswithinNetherlands and from abroad will cover the latest advancements and challenges in silicon technology.


    • P. de Jager( ASML) Lithography beyond EUV
    • E. Vreugdenhil (ASML) 3D-NAND Flash: vertical stacking of new thin-film gate-all-around transistors
    • M. Pelgrom (PelgromConsulting) Statistical design has the future
    • Z. Tokei (IMEC) Wiring in 3D
    • F. Rosenboom (TU Eindhoven) Plasma etching for continued semiconductor scaling
    • S. Hamdioui (TU Delft) Computing for Data-Intensive Applications: Beyond CMOS and beyond Von Neumann
    • J. Dorgelo (Marvell) Terabit NAND Flash comes with advanced error correction

    Open to all

    It is FREE for allMsc, PhD, PD and Professors in Micro-electronics, Computer engineering and Telecommunications. Don't forget to

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    MSc market

    Leo de Vreede, Marco Spirito, Chris Verhoeven

    Dear all, ELCA organizes a M.Sc. project market,

    Monday, March 16 from 16.00-18.00 in the Snijderzaal.

    Please indicate your presence to Marion de Vlieger in view of the pizza ordering. Most project descriptions have already been uploaded on black board (ET4254) and the elca website projects, more will follow. We hope to see you on Monday! Leo, Marco, Chris and Xun

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    PhD Thesis Defence

    Thesis defence Vahid Mohammadi

    Vahid Mohammadi

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    Sensor Data Fusion @ Fraunhofer FKIE: Surveillance and Protection for Defence and Security Applications

    Dr. Wolfgang Koch from FKIE, Bonn
    Fraunhofer FKIE, Bonn, Germany

    Advanced algorithms to effectively exploit data streams from heterogeneous sources and optimally manage available sensor and unmanned platforms are of crucial importance. The talk will provide an overview of both, methodological work and advanced applications at Fraunhofer FKIE. We will place emphasis on exact track-to-track fusion, multistatic exploration and passive surveillance, aspects of resources management, and fusion tasks with unmanned aerial vehicles.

    PhD Thesis Defence

    Sensor management for surveillance and tracking. An operational perspective. March 5, 12.00 Aula, Senaatszaal. Promotor A. Yarovoy, co- promotor, H. Driessen

    Fotios Katsilieris

    Defence, March 5, 12.00 Aula, Senaatszaal. Sensor management for surveillance and tracking. An operational perspective. In the literature, several approaches to sensor (including radar) management can be found. These can be roughly grouped into: a) rule-based or heuristics; b) task-based; c) information-driven; and d) risk/threat-based. These approaches are compared in this dissertation and it is found that there is not a single approach that is both Bayes-optimal and takes into account explicitly the user requirements in different operational contexts. In order to overcome the challenges with the existing approaches, this dissertation proposes managing the uncertainty in higher-level quantities (as per the JDL model) that are directly of interest to an operator and directly related to the operational goal of a radar system. The proposed approach is motivated by the threat assessment process, which is an integral part of defence missions. Accordingly, a prominent example of a commonly used higher-level quantity is the threat-level of a target. The key advantage of the proposed approach is that it results in Bayes-optimal sensor control that also takes into account the operational context in a model-based manner. In other words: a) a radar operator can select the aspects of threat that are relevant to the operational context at hand; and b) external information about the arrival of targets and other scenario parameters can be included when defining the models used in the signal processing algorithms, leading to context-adaptive sensor management.

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    MEST event

    TU Delft in ISSCC 2015


    9:00 Prof. Kofi Makinwa Welcome
    9:10 A. Carimatto A 67,392 SPAD PVTB-Compensated Multi-Channel Digital SiPMwith 432 column-Parallel 48ps 17b TDCs for Endoscopic Time-of-Flight PET
    9:50 M. Shahmohammadi A 1/f Noise Up-conversion Reduction Technique Applied to Class-D and Class-F Oscillators
    10:15 R. Quan A 4600um2 1.5oC (3s) 0.9kS/s Thermal-Diffusivity Temperature Sensor with VCO-Based Readout
    10:40 Break
    10:55 L. Xu A 110dB SNR ADC with +/-30V Input Common-Mode Range and 8uV offset for Current Sensing Applications
    11:35 Y. He A 0.05-mm2 1-V Capacitance-to-Digital Converter Based on Period Modulation
    12:00 H.Jiang A 30-ppm <80-nJ Ring-Down-Based Readout Circuit for Resonant Sensors

    There will be free pizza from 12:45 to 13:15

    A drone for everyone

    Drones we know mainly from the news, unmanned aircraft that in distant countries eliminate precisely US enemies. There are also a lot closer to home, to bring around packets to take spectacular photographs or video recordings, to bring a defibrillation device quickly in a patient with a heart problem. Chris Verhoeven, Associate professor Electronics Research Laboratory, from the Microelectronics department will participate in this discussion in the Kenniscaf in the Balie in Amsterdam.

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    Signal Processing Seminar

    Computational challenges in Mass Spectral Imaging

    Raf Van de Plas
    3ME DCSC

    Mass spectral imaging (MSI) is a novel imaging modality capable of concurrently measuring the spatial distribution of thousands of molecular species throughout an organic tissue section. This technique, also known as imaging mass spectrometry, has been gaining considerable attention in recent years with applications ranging from medicine to plant science and from material science to forensics. In this talk, we introduce the nature of MSI data with a specific focus on its high-dimensional aspects. We illustrate some of the low-level signal processing challenges using wavelet analysis and matrix factorization examples. High-level biological interpretation challenges are demonstrated using recent work on the automated anatomical interpretation of ion images.

    Signal Processing Seminar

    Fiber-Optic Communication using Nonlinear Fourier Transforms

    Sander Wahls
    3ME DCSC

    When a signal travels through optical fiber, it evolves in a complicated way that is approximately described by the nonlinear Schroedinger equation. However, it turns out that the evolution of a solution to the nonlinear Schroedinger equation becomes simple when it is considered in the so-called nonlinear Fourier domain. This fact has recently started to attract attention in fiber-optic communications, where the idea has risen to encode information in the nonlinear Fourier domain instead of the time or the conventional Fourier domain. In this talk, the advantages of this concept will be explained. Recent results as well as open questions will also be discussed.

    MS3 PhD event

    MS3 PhD event

    Annual overview of PhD research projects

    MSc CE Thesis Presentation

    Profiling of Polyhedral Process Networks

    Wouter van Teijlingen

    High-level synthesis (HLS) is a design method to raise the level of abstraction in the design of digital circuits. We use HLS to map sequential C-code to Polyhedral Process Networks (PPN), which are implemented in hardware. Designers need feedback on performance limitations as soon as possible, as going through the complete design flow to derive PPNs is time-consuming. The result is that only a few design points can be evaluated in a given amount of time.

    In this work, we leverage previous research, and present cprof. Additionally, it estimates the performance of sequential C-code, when implemented as a PPN in hardware. Cprof estimates the execution finish time and the degree of parallelism of a PPN. Cprof provides assistance in Design Space Exploration (DSE), and Hierarchical Program Analysis (HPA) is used to profile programs with inter-procedural behavior.

    We verified that cprof is capable of profiling and optimizing sequential C programs, which are realized in hardware as PPNs. We have also shown that on average, cprof overestimates the execution finish time of PolyBench/C benchmarks implemented in hardware by 0.44%. Cprof helps increasing engineering productivity by assisting in DSE, and risk is reduced by making design limitations explicit at an early stage in the design process. The result is that the hardware design flow looks like a regular software design flow, and no special hardware skills are required to analyze and optimize a design that is implemented as a PPN in hardware.

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    MSc ME Thesis Presentation

    Monolithic Integration of light sensor readout system for multi-functional LED wafer-level package based on BICMOS process technology

    Teng Ma

    PhD Thesis Defence

    A GPS inspired terrain referenced navigation algorithm

    Daniela Vaman

    Terrain Referenced Navigation (TRN) refers to a form of localization in which measurements of distances to the terrain surface are matched with a digital elevation map allowing a vehicle to estimate its own position within the map. The main goal of this dissertation is to improve TRN performance through better signal processing. More specifically, the project aims to explore opportunities in the field of TRN by using digital signal processing techniques that were originally developed for the acquisition and tracking of GPS signals.

    A typical TRN system uses speed, heading and time to establish the relative horizontal position between subsequent elevation measurements. Thus, any error in speed, heading or time will cause an error in the resulting relative position. If the speed or heading error contains a bias, this will cause a gradual reduction in the correlation. To prevent that a reduction in correlation causes the estimated position to drift away, the idea behind the research described in this thesis is the use of arrays of terrain elevation measurements with intentional (positive and negative) offsets in speed and heading in a tracking-loop configuration. It is well known that such a concept works well for optimized signals such as the ones used in GPS.

    To further explore the viability of this idea for a signal defined by a series of terrain elevation measurements, an analysis of similarities and differences with the GPS signal is performed. In accordance to the GPS receiver approach, a novel correlation algorithm for TRN is proposed and implemented. The basic rationale for the algorithm is to use terrain correlation to acquire and track the speed and heading of the host vehicle, while the position advances are calculated using these estimates together with the previously determined position. The novelty of the approach consists in the implementation of a tracking scheme based on the DLL concept. To answer feasibility-related questions, the algorithm is first evaluated in a purely theoretical framework. Based on this analysis it is concluded that the concept seems feasible and promising, but additional considerations in the design are required to compensate for the differences between the GPS and TRN signals. Enhancements are brought to the initial design resulting in the development of an adaptive tracking scheme, in which the tracking loops are configured based on an analysis of the terrain signal.

    Next, an in-depth sensitivity analysis is carried out to understand how sensor measurement errors (in speed, heading and terrain height) impact the algorithm performance. The analysis is performed using exclusively simulated data. It is shown that sensitivity to speed and heading errors is dependent on terrain features and it is possible to assess the degree of sensitivity by analysing the terrain signal. By combining this information with the expected error characteristic of the navigation sensors, the performance of the algorithm can be predicted. The sensitivity to terrain measurement errors depends on the ratio between the terrain signal strength and the measurement errors. It is shown that this ratio can be predicted up to a certain extent and a method to improve the ratio is proposed and discussed.

    The developed capabilities are validated with recorded sensor data from flight tests. Two different types of recorded sensor data are used: radar and lidar based datasets.

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    MSc ME Thesis Presentation

    Monolithic Integration of rectifiers and drivers for low power SSL Application on Flex-to-Rigid Substrate

    Manjunath Venkatesh Ramachandrappa

    TU Delft best graduate ceremony

    Final competition

    Jorn Zimmerling

    The best graduates from each faculty (for EWI: Jorn Zimmerling, member of CAS) will try to convince the jury that they are the Best Graduate 2014 by shortly presenting their graduation project. Together with a professional film crew, the study associations of the faculties made short movies about why their each lecturer deserves the Best Lecturer TU Delft 2014 title. Once again, it promises to be a festive celebration of the people who make our education special. The best graduates and best lecturers count on your support!

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    Graduate School Symposium

    PhD event

    On November 6th, the 2nd EEMCS PhD event takes place at our Faculty with Poster presentations, lectures and a theatre session. The objective of this event is to promote the visibility of the PhD research, foster the exchange of information and strengthen the PhD community.

    The event is meant for all PhD candidates of the Faculty EEMCS (both within and outside the graduate school). MSc students, supervisors and promotors are invited to visit the exposition during lunch time or join the discussion around the posters.

    Register here before the 20th of October.

    VWO Math & Science Class

    Pilot meeting

    Alexander Yarovoy (EWI), Yaroslav Blanter (TNW)

    Pilot Math & Science Class van start

    Op 31 oktober start de pilot Math & Science Class. In dit onderwijsprogramma van twintig dagdelen, worden leerlingen uit 5 vwo uitgedaagd en gestimuleerd om op een meer wetenschappelijke manier om te gaan met wiskunde en science. Achttien scholieren nemen deel aan de pilot. De opleidingen Technische Natuurkunde, Technische Wiskunde, Technische Informatica en Elektrotechniek ervaren al een aantal jaren een hoge uitval van studenten in het eerste jaar. Met de pilot Math & Science Class willen de faculteiten TNW en EWI scholieren de kans geven om het 'gat' tussen voortgezet en hoger onderwijs te overbruggen. De scholieren maken kennis met de manier van denken die nodig is voor het succesvol volgen van een studie aan de TU Delft.

    Science project

    De pilot is bestemd voor leerlingen met een N&T-profiel die interesse hebben in een studie aan de TU Delft. Op 31 oktober starten achttien scholieren, zij zijn voorgedragen door de scholen in het scholennetwerk van de universiteit. Op 1 mei wordt de pilot afgesloten met een demonstratie van het science project, waar de scholieren in de laatste weken van het programma aan werken.


    Math & Science Class is een initiatief van Alexander Yarovoy (EWI) en Yaroslav Blanter (TNW). Samen met Sylvia Walsarie (O&S ) en het scholennetwerk hebben zij deze pilot opgezet.

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    Signal Processing Seminar

    Like-Tex : Simplify the writing of your PhD thesis (and all your other scientific documents)

    Seyran Khademi, Andrea Simonetto, Jorge Martinez-Castaneda

    During her PhD the candidate is required to write high-quality scientific documents. To achieve this, Latex and its ecosystem of tools constitute a very powerful yet difficult to learn tool.

    In this special session of the SP Seminar we will cover the use of Latex and some of its related tools. Getting to know these tools will allow the user to considerably simplify the workload inherent in writing high-quality scientific documents. In this session we will focus on writing the PhD thesis, but the tips and ideas we give can of course be used for writing documents at any level. Anyone interested is therefore welcome.

    The presentation will be given during lunch time, including pizza and mexican burritos. So if you are interested please fill in your name in this doodle so that we can estimate how much food we need to order:

    See you all there!

    Seyran, Andrea and Jorge.

    Dimes colloquia of Prof. dr. ShaoJun Wei and Prof. Zewen Liu

    Several Key Technologies for Emerging Applications and Recent MEMS/NEMs research progress in IMETU

    ShaoJun Wei, Zewen Liu

    ShaoJun Wei: Several Key Technologies for Emerging Applications
    There are many emerging applications, such as cloud computing, big data, mobile internet, internet of things (IoT) , wearable device, smart hardware, and etc.. All of them need integrated circuits. With a huge population basis, China has an inborn advantages in this circumstance but with many challenges. Smart sensor, extremely low power pre-processing, micro assembly, high energy efficiency computing, low power high reliable memories are indispensable. We are entering a different ear while technologies we are familiar today should be pushed to their limits. In this presentation, the background of mobile internet, wearable devices, implanted hardware/software platform, IoT will be introduced and then several related technologies will be discussed with the emphasis on 3D Nand and reconfigurable computing. As these emerging applications are rapidly developing, it is very difficult to predict their evolution. Although semiconductors surely play a key role in these applications, with nanometer feature size and very high cost, how to find a way to support the low price and low margin applications is a big challenge.

    Zewen Liu: Recent MEMS/NEMs research progress in IMETU
    The MEMS and sensors research activities in IMETU ranges from process, materials to devices and packaging. A diversity of device had been recently developed such as sensors and MEMS energy harvester, super-capacitor for energy storage, microlens and RF MEMS. With the fast technology evolution, NEMS devices such as grapheme based device, nanohole and cantilevers are also explored which opens novel application in trace chemical sensing, flexible electronics and single DNA molecule detection. The highlights of the presentation are RF MEMS for modern communication and Nanopores for future DNA sequencing application. The prospect of integration of all devices on a chip for future IOT or smart city and the possible technical challenges will be also discussed.

    Bistatic SAR multi-angle image enhancement and differential interferometry technology based on GNSS satellite

    Prof. Cheng Hu
    Beijing Institute of Technology

    Bistatic SAR (BiSAR) systems have attracted the interests from global researchers and become a hotspot in the international radar community due to the progress of radar technology and rapidly increased applications nowadays. As a special kind of BiSAR systems, BiSAR based on GNSS satellite has a lot of advantages because of the time and space continuity of GNSS satellite, such as multi-angle observation and long-time monitoring. Therefore, some BiSAR experimental results based on GNSS satellite will be presented, especially for the multi-angle fusion enhancement and image understanding. Meanwhile, a novel BiSAR differential interferometry technology based on GNSS satellite will be discussed, the primary experimental results will be shown.

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    SP Mini symposium

    Where am I? An experiment in Indoor Localization

    Prof. K.V.S. Hari
    Department of ECE, Indian Institute of Science, Bangalore

    Abstract: Indoor Localization of people (or objects), where GPS is not available, is an interesting problem with several applications. Several solutions exist, of which, positioning based on WiFi, Video-Tag identification, Ultra Wideband signals and Inertial sensors, are a few examples. In this talk, we consider a scenario where a First-Responder team enters a building after a disaster and the position of each member of the team needs to be known to the control center outside the disaster-affected building. Specifically, we will discuss how an Inertial Navigation System (INS) embedded in a shoe can be designed, to address this problem.

    Brief Bio: K.V.S. Hari received the B.E., M.Tech and PhD(1990) degrees from Osmania University, IIT Delhi, University of California at San Diego, respectively. Since 1992, he has been a Faculty Member at the Department of ECE, Indian Institute of Science (IISc), Bangalore, where he is currently a Professor and coordinates the activities of the Statistical Signal Processing Lab in the department. Currently, he is also an Affiliated Professor in the Department of Signal Processing, KTH-Royal Institute of Technology, Stockholm. His current research and development interests include MIMO Wireless Communication, Sparse signal Processing, Indoor Localization and Assistive technologies for the Elderly.

    Dimes Colloquium

    Linear and nonlinear springs in electrostatic micro-actuators

    David Elata
    Technion - Israel Institute of Technology

    In this presentation I will discuss the static and dynamic responses of mechanical springs that are used in electrostatic actuators. With respect to quasi-static applications, I will show how nonlinear mechanical springs can be used to counteract the nonlinear electrostatic attraction forces in gap-closing actuators. Instead of the pull-in instability, we may achieve an extended stable range with a linear voltage-displacement relation. Alternatively, beyond what would have been the pull-in point, we may achieve a constant voltage for any displacement. This effectively turns the transducer into a rechargeable mechanical battery, which is a neat design though mostly impractical. With respect to dynamic applications, I will show why the standard folded beam suspension, which is supposed to be linear by design, induces a nonlinear response in electrostatic comb-drive resonators. I will present a new suspension design which solves this problem.

    International Radar Conference 2014, Lille, France

    Alexander Yarovoy, François Le Chevalier, Fotios Katsilieris, Nikita Petrov, Alexey Narykov, Oleg Krasnov

    The French SEE Society (Socit de l'Electricit, de l'Electronique, et des Technologies de l'Information et de la Communication) organises RADAR 2014 in Lille, from 13 to 17 of October 2014. The conference will be organized in the frame of the international relations set up between the Institution of Engineering and Technology (IET), the Institute of Electrical and Electronics Engineers (IEEE), the Chinese Institute of Electronics (CIE), the Institution of Engineers Australia (IEAust) and the SEE.

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    Signal Processing Seminar

    Joint antenna selection and precoding with quadratic sparsity inducing regularizer for multi-user MIMO systems

    Seyran Khademi

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    MEST Colloquium

    Electronics in Nano-Era: Are we Facing a Reliability Wall?

    Said Hamdioui

    The talk will address technology scaling and its impact on different aspects of IC and electronics, and in particular the emerging reliability bottlenecks. First the basics of scaling will be covered, together with its impact on integration density, performance and power. The technology outlook will be analyzed in order to extract the challenges with respect to design, test and reliability both for near and long terms. IC realization process will be (re) defined while considering the technology trends and business pressure. Possible ways for the realization of future systems will be discussed.

    11th European Radar Conference (EuRAD 2014), Rome, Italy

    Oleg Krasnov, Inna Ivashko, Alexander Yarovoy

    The 11th European Radar Conference (EuRAD 2014) will be held from October the 8-th to October the 10-th, 2014 in Rome, Italy, in the framework of the European Microwave Week 2014. This Radar Conference is the major European event for the present status and the future trends in the field of radar technology, system design, and applications. In the radar and sub-systems area, the conference focuses on radar EM scattering and propagation, antenna design, modelling and measurements, active/passive phased arrays and transceiver technologies, also for dual use applications (radar/communications). The radar signal processing topic intends to collect the main recent research innovative contributions on digital beamforming, interferometry, polarimetry, waveform diversity, tracking and target localization, multidimensional radar imaging. A specific focus is also expected on the use of compressive sensing for radar application. Radar architecture and systems topic addresses all new kinds of sensors starting from the more classical ones, namely CW, over-the-horizon, passive, noise and polarimetric radar, up to the most complex and sophisticated architectures like UWB systems, multidimensional radar, multifunctional systems. New tools for radar system performance modelling and simulation are also included. Radar applications are also encouraged covering various fields such as environmental, surveillance, traffic control, automotive, avionic, homeland security and defence, medical and other possible radar uses.

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    Receivers Topology Optimization of the Combined Active and WiFi-based Passive Radar Network

    Presentation for the EuRAD14 conference

    Inna Ivashko

    This paper focuses on the accuracy analysis of the combined active and WiFi-based passive radar network. The Cramer-Rao Lower Bound is used as an accuracy metric. It is shown that localization performance of the active radar network can be improved with exploitation of the signals from passive bistatic WiFi radars. This makes reasonable to use information from passive and active radars simultaneously in order to enhance system localization capability. Sparsity-based algorithm is applied to find optimum geometry of the WiFi receivers at the fixed positions of the WiFi access points and active radars.

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    Effectiveness-based radar resource management for target tracking

    Presentation for the RADAR14 conference

    Alexey Narykov

    Radar resource management (RRM) is an active research field that attracts attention of both the scientists and industry experts. A discussion of the various approaches to RRM became essentially a discussion on how to formulate the optimization problem. Although much work has been done on optimal performance-based RRM, the approaches that take mission objectives into account still belong to the domain of heuristic RRM. This paper proposes a shift from performance-based management and presents a novel effectiveness-based approach to optimal RRM. The approach is illustrated with a case study of single target tracking.

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    Outlook for a new wind field retrieval technique: The 4D-Var wind retrieval

    Presentation for the RADAR14 conference

    Albert OudeNijhuis

    In this presentation we introduce the 4D-Var wind retrieval, which is inspired on four-dimensional variational assimilation, typically used in numerical weather models. We simulate simple wind scenarios, with single or double vortices, to get insight in radar measurements. We apply the linear wind model to radar measurements of IDRA radar measurements and identify some problems with the linear wind model retrieval technique. Then we apply the 4D-Var wind retrieval on the same IDRA measurements and the results are compared and discussed. In the implementation it is possible to specify correlation lengths for the horizontal wind speed and horizontal wind direction. With this option, it is possible to show the ambiguity of the wind field, that is associated with the radar measurements.

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    Signal Processing Seminar

    Indoor granular presence sensing with an ultrasonic circular array sensor

    Shahrzad Naghibzadeh

    Shahrzad will talk about a paper she is preparing based on her Msc. work.

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    MSc CE Thesis Presentation

    Guaranteed Quality ECG Signal Compression Algorithm

    Dongni Fan

    The aim of the project is to develop an ECG signal compression algorithm that has a high compression ratio while guaranteeing signal quality.

    An electrocardiography (ECG) signal is a representation of cardiac activity and has an need to be compressed to reduce data storage requirements. Previous ECG signal compression techniques have shown steady improvement on compression ratio. However, these techniques generally lack quality considerations, so their applications are limited. We present a discrete cosine transform (DCT) based compression scheme and use beat detection which considerably improve the compression ratio. The quality of the compressed signal is configurable, and the accuracy of the signal is maintained given a signal quality requirement.

    The algorithm is implemented in a software/hardware solution. Some parts need to be done in the software. As a proof of concept, we have chosen the filter to be implemented in hardware. Mathworks HDL coder was used for generating RTL code and testbenches. Results show that our algorithm is capable of maintaining the specified quality, has a better compression ratio compared to previous work and is also capable to compress noisy ECG signals.

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    EI Colloquium

    Analog-to-digital converters

    Jesper Steensgaard
    Linear Technology, Milpitas, CA

    Analog-to-digital converters have traditionally been a weak link in mixed-mode signal chains. As such, logarithmic and programmable-gain amplifiers have been used to effectively increase their overall dynamic range. In recent years, however, ADC performance has dramatically improved, making it difficult to design amplifiers and references capable of matching their performance. This talk will discuss the challenges of designing a circuit capable of driving a 20-bit SAR ADC with better than 1-part-per-million accuracy.


    Jesper Steensgaard, obtained his MSEE and then his PhD from the Technical University of Denmark in 1999. He has 20+ years of experience in the design of high-resolution data converters. His early work focused on delta-sigma data converters, including mismatch-shaping binary-weighted-element DACs and continuous-time delta-sigma ADCs. Recently, Jesper developed a family of high-resolution low-power SAR ADCs, including the LTC2378-20, which combine the best features of delta-sigma ADCs (precision, low noise) and SAR ADCs (speed, low power, ease of use).

    MSc CE Thesis Presentation

    CacheBalancer: A communication latency and utilization aware resource manager

    Jurrien de Klerk

    As the number of processors increases in today's many-core processors, new issues regarding memory management arises. Performance of many-core processors, including large numbers of processors, is often limited by the communication latency due to transfer of data from one node to another. Conventional dynamic memory allocators are unaware of the communication costs, and do not consider what data is send between nodes due to memory allocation. Existing proposals that address this issue result in a limited number of utilized memory resources, potentially leading to over utilized memory resources.

    This work introduces a technique for dynamic memory allocation, where state-of-the-art is improved to overcome the limited utilization of the memory resources. The proposed memory allocation method measures the utilization of the different memory resources and uses this information to determine which memory section should be assigned to a requesting task.

    This work demonstrates that the proposed memory allocation scheme can reduce memory access latency up to 63.4%, by avoiding the allocation of memory that maps to over utilized resources. The memory allocation scheme is implemented in a run-time manager called Cache Balancer. In addition, the Cache Balancer includes a task mapping algorithm that combines information on the tasks themselves with information communication costs, to map task such that memory throughput is improved. The task mapping algorithm showed a further reduction of memory access latency of 14.5%.

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    Quantum imaging seminar

    Quantum Nonlinear Optics in Integrated Devices

    Marco Liscidini
    University of Pavia, Italy

    There is a burgeoning interest in the study of parametric fluorescence in integrated devices to obtain compact and efficient sources of non-classical states of light, which are necessary toward the full integration of quantum optical devices. As in the case of quantum linear optics, the use of microstructures gives the opportunity for investigating new phenomena that would be hardly observable in larger bulk-crystal sources. Yet, integrated sources present also several challenges, such as their efficient and fast characterization, which is typically quite demanding because of their low external brightness. In this talk, I will review all these points, starting with the demonstration of silicon microring resonators as CMOS compatible room-temperature sources of time-energy entangled photon pairs.

    About the speaker

    Marco Liscidini received the Ph.D degree in physics from the University of Pavia (Italy) 2006, working in the group of Prof. Lucio Andreani, with a dissertation entitled "Nonlinear optical properties of planar microcavities and photonic crystal slabs". From 2007 to 2009, he was Post-Doctoral Fellow in the group of Prof. John E. Sipe at the Department of Physics of the University of Toronto, Canada. From 2009 to 2013 is research scientist at the University of Pavia. He is currently tenure-track Assistant Professor at the Department of Physics of the University of Pavia. Since October 2011 is professor of Photonics at the Department of Physics of the University of Pavia. His research activity is focused on the theoretical study and modeling of light-matter interaction in micro- and nanostructures. He works in several areas of photonics, including classical and quantum nonlinear optics, spontaneous emission, plasmon and QW-exciton polaritons, optical sensing and bio-sensing, and photovoltaic effects. He is coauthor of more than 50 papers in peer-reviewed journals. His theoretical research activity is in strong collaboration with experimental groups and in the framework of national, European, and Canadian research programs.

    Signal Processing Seminar

    Sparse Sensing for Statistical Inference Tasks

    Sundeep Prabhakar Chepuri

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    DIMES colloquium

    Probabilistic Design for Reliability in Electronics and Photonics: Role, Attributes, Challenges

    Prof.dr. Ephraim Suhir
    Portland State University, USA

    The recently suggested probabilistic design for reliability (PDfR) concept is based on:1) highly focused and highly cost-effective failure oriented accelerated testing (FOAT),aimed at understanding the physics of the anticipated failures and at quantifying, on the probabilistic basis, the outcome of FOATs conducted for the most vulnerable element(s) of the product of interest and the most likely and meaningful combination of possible stressors (the principle of superposition does not work in reliability engineering), and 2) simple and physically meaningful predictive modeling (PM), both analytical and computer-aided, aimed at bridging the gap between what one "sees" as a result of FOAT and what he/she will supposedly "get" in the field. FOAT and PM based sensitivity analysis (SA) algorithms are developed as by-products.

    The PDfR concept is based on the recognition of the fact that nobody and nothing is perfect, and that the difference between a highly reliable and insufficiently reliable product is merely in the level of its probability of failure. If this probability (evaluated for the anticipated loading conditions and the given time in operation) is not acceptable, then such a SA can be effectively employed to determine what could be possibly changed, in terms of materials, geometries, application restrictions, etc., to improve the situation.

    The PDfR analysis enables one also to check if the product is not "over-engineered", i.e., is not superfluously robust: if it is, it might be too costly: although the operational reliability cannot be low, it does not have to be higher than necessary either, but has to be adequate for the given product and application. This means that when both reliability and cost-effectiveness are imperative, ability to quantify reliability is a must. In this seminar the major PDfR concepts will be illustrated by case studies and practical examples. Although some advanced and subtle PDfR predictive modeling techniques have been recently developed for quantifying and assuring reliability of electronic and photonic products, especially those intended for aerospace applications, the practical examples addressed employ more or less elementary analytical models.


    Prof. Dr. E. Suhir is Fellow of ASME, IEEE, American Physical Society (APS), Institute of Physics (UK), Society of Optical Engineers (SPIE), International Microelectronics and Packaging Society (IMAPS), Society of Plastics Engineers (SPE), Foreign Full Member (Academician) of the NAE, Ukraine, and Fulbright Scholar in Information Technologies. He has authored above 300 publications (patents, books, book chapters, papers) and received numerous professional awards, including 2004 ASME Worcester Read Warner Medal for outstanding contributions to the permanent literature of engineering and laying a foundation of a new discipline Structural Analysis in Electronics and Photonics Systems. Dr. Suhir is the third Russian American, after Steven Timoshenko and Igor Sikorsky, who received this prestigious award. Dr. Suhir is co-founder of the ASME Journal of Electronic Packaging and served as its Technical Editor for eight years (1994-2002).

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    MEST welcome drink

    Meet and greet your friends and colleagues with a FREE Drink to say Hallo !!!

    Organized by MEST student association

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    MSc CE Thesis Presentation

    Multi-chip dataflow architecture for massive scale biophysically accurate neuron simulation

    Jacco Hofmann

    The ability to simulate brain neurons in real-time using biophysically-meaningful models is a critical pre-requisite grasping human brain behavior. By simulating neurons behavior, it is possible, for example, to reduce the need for in-vivo experimentation, to improve artificial intelligence and to replace damaged brain parts in patients.

    A biophysically accurate but complex neuron model, which can be used for such applications, is the Hodgkin-Huxley (HH) model. State of the art simulators are capable of simulating, in real-time, tens of neurons, at most. The currently most advanced simulator is able to simulate 96 HH neurons in real-time. This simulator is limited by its exponential growth in communication costs.

    To overcome this problem, in this thesis, we propose a new system architecture, which massively increases the amount of neurons which is possible to simulate. By localizing communications, the communication cost is reduced from an exponential to a linear growth with the number of simulated neurons As a result, the proposed system allows the simulation of over 3000 to 19200 cells (depending on the connectivity scheme). To further increase the number of simulated neurons, the proposed system is designed in such a way that it is possible to implement it over multiple chips. Experimental results have shown that it is possible to use up to 8 chips and still keeping the communication costs linear with the number of simulated neurons. The systems is very flexible and allows to tune, during run-time, various parameters, including the presence of connections between neurons, eliminating (or reducing) resynthesis costs, which turn into much faster experimentation cycles. All parts of the system are generated automatically, based on the neuron connectivity scheme.

    A powerful simulator that incorporates latencies for on and off chip communication, as well as calculation latencies, can be used to find the right configuration for a particular task. As a result, the resulting highly adaptive and configurable system allows for biophysically accurate simulation of massive amounts of cells.

    MSc ME Thesis Presentation

    Long-range 3D Range Detector Based on Time-correlated Single-photon Counting

    Dali Zhang

    Three-dimensional (3D) range detectors enabling 3D computer vision is now popular in automotive industry. With their participation, automobile safety has been further enhanced, autonomous driving has become realizable. Time-correlated single-photon counting (TCSPC) technique utilizing complementary metal-oxide semiconductor (CMOS) single photon detectors (SPDs) and time-to-digital converters (TDCs) embodies the proper participant of automotive 3D vision, with low power consumption, low cost, high speed, high robustness, small size, and portability.

    In this thesis, a TCSPC 3D range detector for automotive application was studied and modeled. The model covered all main components of a TCSPC system, including the TCSPC range detection process, the signal, and the noise. It was designed to predict the behavior of TCSPC systems and help future designers optimize the performance in accordance with the targeted application.

    To verify the model, a experimental setup was designed, implemented, and characterized. The setup consists of a data acquisition system, data processing procedures, and an optical-mechanical system. Measurements performed using the setup have confirmed that the model was designed correctly. For further exploration, range detection from 0.2 m to 60 m were carried out.

    CMOS-based implantable electronics for bioscientific and medical applications

    Takashi Tokuda
    NAIST, Japan

    CMOS-based implantable device technology is attracting a lot of interest because of its potential for next-generation bioscientific and medical applications. In this presentation, circuit design, device packaging, and functional demonstration of some CMOS-based implantable devices are presented. An implantable imaging device for in vivo (in a living body) optical brain imaging, implementation of light source for neural stimulation in optogenetics, and flexible neural stimulator for retinal prosthesis will be mainly described.

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    MSc ME Thesis Presentation

    Opto-electronic MEMS oscillator for resonant pressure sensing

    Lalit Kumar

    MSc SS Thesis Presentation

    Speech Production Modelling and Analysis

    Andreas Koutrouvelis

    The first part of the present thesis reviews the speech production mechanism and several models of the glottal flow derivative waveform and of the vocal tract filter. The source filter model is investigated in depth, since it is the most important "ingredient" of linear prediction analysis. We also review seven linear prediction (LP) methods based on the same general LP optimization framework. Moreover, we examine the importance of pre-emphasis and glottal-cancellation prior to LP.

    The second part of the thesis, provides an experimental evaluation of the LP methods combined with several pre-emphasis and glottal-cancellation techniques in the context of two general application areas. The first area consists of applications which aim to estimate the true glottal flow or glottal flow derivative signal. The second area consists of applications which aim to find a sparse residual. In particular, five factors are investigated: the sparsity of the residual using the Gini index, the estimation accuracy of the glottal flow derivative using the signal to noise ratio (SNR), the estimation accuracy of the vocal tract spectral magnitude using the log spectral distortion distance (LSD) metric, and the probability of obtaining a stable linear prediction filter. All these factors are evaluated for clean and reverberated speech signals. The sparse linear prediction methods and the iteratively reweighted least squares method combined with the second order pre-emphasis filter give the most accurate glottal flow derivative estimates, the most accurate vocal tract estimates and the sparsest residuals in most cases. Finally, we compare several linear prediction methods in the context of the speech dereverberation method proposed in [1, 2]. This method enhances the reverberated residual obtained via the autocorrelation method. In the context of this application, we show that the sparse linear prediction method and the weighted linear prediction method combined with a second-order pre-emphasis filter perform better than the autocorrelation method.

    MSc TC Thesis Presentation

    Network Coding in Underwater Communications

    Elvin Isufi

    MSc TC Thesis Presentation

    Indoor Granularity Presence Sensing and Control Messaging with an Ultrasonic Circular Array

    Shahrzad Naghibzadeh

    MSc ME Thesis Presentation

    Development of a Multichannel TCSPC System in a Spartan 6 FPGA

    Harald Homulle

    For the master project work was carried out for the development of a fluorescence lifetime imaging probe for fluorescence guided surgery. For this project a prototype was designed. The work on the prototype was divided into three main parts, hardware, firmware / software, and system / optics. In this thesis the firmware / software of the system are described. An overview of the system is given and the performance is evaluated.

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    PhD Thesis Defence

    Multichannel Digital Silicon Photomultipliers for Time-of-Flight PET

    Shingo Mandai

    This thesis discusses the potential of CMOS based SiPMs, especially for TOF PET applications, in a systematic and comprehensive fashion. CMOS based SPADs are still need to be designed carefully to improve fill factor, TDCs be improved from the point of the area and power consumption, and the necessity of high voltage for SPADs be handled efficiently. Thus, this thesis also aims to design and integrate various circuits in the SiPM to realize the high integrations utilizing the biggest advantage of the CMOS technology.

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    PhD Thesis Defence

    Compressive Sampling for Wireless Communications

    Shahzad Gishkori

    Wireless communications is undergoing massive development in all forms of its manifestations. In the field of short-range communications, technologies like ultra-wideband (UWB) systems are promising very high data rates, fine timing resolution and coexistence with other physical layer standards. Along with these benefits, the promise of low cost and low complexity devices makes UWB systems a highly sought-after option. The main reason for these benefits is the utilization of a very large bandwidth. However, these benefits come at a price, that is the high sampling rate required to receive such signals. According to the Nyquist sampling theorem, a signal can be fully determined if sampled at twice its maximum frequency. This means that the UWB signals may require a sampling rate in the order of Giga samples per second. At the receiver, the sampling is carried out by an analog-to-digital converter (ADC). The power consumption of an ADC is proportional to its sampling rate. A very high sampling rate means stressing the ADC in terms of power consumption. This can put the whole idea of low cost and low complexity UWB systems in jeopardy. Therefore, using subsampling methods is indispensable. In this regard, we propose the utilization of compressive sampling (CS) for UWB systems. CS promises a reasonable reconstruction performance of the complete signal from very few compressed samples, given the sparsity of the signal. In this thesis, we concentrate on impulse radio (IR) UWB systems. IR-UWB systems are known to be sparse, meaning, a large part of the received signal has zero or insignificant components. We exploit this time domain sparsity and reduce the sampling rate much below the Nyquist rate but still develop efficient detectors.

    We propose CS based energy detectors for IR-UWB pulse position modulation (PPM) systems in multipath fading environments. We use the principles of generalized maximum likelihood to propose detectors which require the reconstruction of the original signal from compressed samples and detectors which skip this reconstruction step and carry out detection on the compressed samples directly, thereby further reducing the complexity. We provide exact theoretical expressions for the bit error probability (BEP) to assess the performance of our proposed detectors. These expressions are further verified by numerical simulations.

    We also propose CS based differential detectors for IR-UWB signals. These detectors work on consecutive symbols. We develop detectors with separate reconstruction and detection stages as well as detectors that perform these steps jointly. We further present detectors which do not need reconstruction at all and can work directly on the compressed samples. However, this can put some limitations on the overall flexibility of the detector in terms of the measurement process. To assess the performance of all these detectors, we also provide maximum a posteriori (MAP) based detectors. We provide numerical simulations to display the detection results.

    We extend the CS based classical differential detectors to the case of multiple symbol differential detectors. To keep the implementation complexity at its minimum, we work only with compressed samples directly. We use the principles of the generalized likelihood ratio test (GLRT) to eliminate the limitations on such detectors, in terms of the measurement process. Apart from focusing on compressed detectors which contain full timing information, we also propose detectors which need such information at symbol level only. This effectively results in low cost and low complexity detectors.

    Finally, we present some work on the theoretical aspects of CS. We develop algorithms which exploit the block sparse structure of the signal. This block sparsity is combined with varying block sizes and signal coefficients having smooth transitions. Such signals are often encountered in a wide range of engineering and biological fields.

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    Signal processing seminar

    Relaying Techniques for Multi-Hop Noncoherent UWB Communications

    Dr. Vincenzo Lottici
    University of Pisa

    Ultra-wideband impulse radio has been attracting an interest as a strong candidate for short-range high-rate indoor connectivity, low-rate communications with high-resolution ranging, and location-aware wireless sensor networks. On top of this communication format, multi-hop relaying techniques can effectively contribute to extend the coverage and boost the system performance, especially when the energy available to each relay node of the network is a critical issue. This talk discusses a few novel cooperative approaches for both amplify-and-forward (AF) and decode and forward (DF) relaying. Firstly, we focus on a non-coherent setup employing a double-differential encoding scheme at the source node and a single differential demodulation at the relay and destination. The log-likelihood ratio based decision rule is derived at the destination node, and a semi-analytical power allocation strategy is presented by evaluating a closed-form expression for the effective signal to noise ratio (SNR) at the destination. Secondly, we focus on developing a single differential encoded DF non-cooperative relaying scheme. To favor simple receiver structures, differential noncoherent detection is employed which enables effective energy capture without any channel estimation. Putting emphasis on the general case of multi-hop relaying, we illustrate an original algorithm for the joint power allocation and path selection (JPAPS), minimizing an approximate expression of the overall bit error rate (BER). After deriving a closed-form power allocation strategy, the optimal path selection is reduced to a shortest path problem on a connected graph, which can be solved without any topology information with complexity O(N3), N being the number of available relays of the network. An approximate scheme is also presented, which reduces the complexity to O(N2), while showing a negligible performance loss. For benchmarking purposes, an exhaustive-search based multi-hop DF cooperative strategy is taken into consideration. Simulation results for various network setups corroborate the effectiveness of the proposed low-complexity JPAPS algorithm, which favorably compares to existing AF and DF relaying methods.
    CV. Since 1993, Vincenzo Lottici has been with the Department of Information Engineering of the University of Pisa, where he is currently Professor in Communication Systems. He participated in several international and national research projects, and as TPC member, in numerous IEEE conferences in wireless communications and signal processing, He recently joined the Editorial Board of EURASIP Advances on Signal Processing. His research interests include the broad area of signal processing for communications, with emphasis on synchronization, channel estimation, dynamic resource allocation, cognitive radio and compressive sensing.

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    Signal Processing Seminar

    Noncoherent Decision-Feedback Equalization in Massive MIMO Systems

    Dr. Robert Fischer

    We discuss noncoherent receivers in multi-user massive MIMO uplink systems. On the one hand, sorted decision-feedback differential detection (DFDD) is attractive for the detection of a particular user over a transmission burst. On the other hand, we present a noncoherent approach to decision-feedback equalization (DFE) over the users. Thereby, the contradicting principles of DFE, where interference of already detected symbols is canceled using actual channel knowledge, and noncoherent reception, where the symbols are detected without any channel-state information, are combined. Based on an analysis of the statistics of the interference terms in autocorrelation-based noncoherent receivers, DFE is proposed and optimized. Moreover, we discuss a joint user/temporal detection with optimized sorting and an iterative scheme. Numerical results quantifying the performance of the noncoherent schemes relative to coherent BLAST, taking the non-perfect channel knowledge due to finite-length training sequences into account, are presented. CV. Since 2011 Dr. Robert Fischer has been full professor for communications and signal theory at the University of Ulm, Germany. Currently, he teaches undergraduate and graduate courses on signals and systems and on digital communications. His research concentrates on fast digital transmission including single- and multicarrier modulation techniques. Current interests are information theory, coded modulation, digital communications and signal processing, and especially precoding and shaping techniques for high-rate transmission schemes.

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    Signal Processing Seminar

    Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

    Geert Leus

    Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost and power consumption of gigasample mixed-signal devices, mmWave precoding will likely be divided among the analog and digital domains. The large number of antennas and the presence of analog beamforming requires the development of mmWave-specific channel estimation and precoding algorithms. This talk discusses an adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel. To enable the efficient operation of this algorithm, a novel hierarchical multi-resolution codebook is designed to construct training beamforming vectors with different beamwidths. Using the estimated channel, a new hybrid analog/digital precoding algorithm that is proposed that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions. Simulation results show that the proposed low-complexity channel estimation algorithm achieves comparable precoding gains compared to exhaustive channel training algorithms. The results also illustrate that the proposed channel estimation and precoding algorithms can approach the coverage probability achieved by perfect channel knowledge even in the presence of interference.

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    Signal Processing Seminar

    Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms

    Hadi Jamali-Rad

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    MSc TC Thesis Presentation

    Modeling of wave propagation in open domains: A Krylov subspace approach

    Jorn Zimmerling

    Simulating electromagnetic or acoustic wave propagation in complex open structures is extremely important in many areas of science and engineering. In a wide range of applications, ranging from photonics and plasmonics to seismic exploration, efficient wave field solvers are required in various design and optimization frameworks.

    In this talk, a Krylov subspace projection methodology is presented to efficiently solve wave propagation problems on unbounded domains. To model the extension of the computational domain to infinity, an optimal complex scaling method is introduced. Traditionally, complex scaling has been used to simulate open quantum systems. Here, an optimized complex scaling method is implemented that allows us to simulate wave propagation on unbounded domains provided we compute the propagating waves via a stability-corrected wave function. In our Krylov subspace framework, this wave function is approximated by polynomial or rational functions, which are obtained via Krylov subspace projection. We show that the field approximations are actually expansions in terms of approximate open resonance modes of the system and we present a novel and highly efficient Krylov subspace implementation for media exhibiting second-order relaxation effects. Numerical examples for one-, two-, and three-dimensional problems illustrate the performance of the method and show that our Krylov resonance expansions significantly outperform conventional solution methods.

    Signal Processing Seminar

    Venkat Roy

    ISCAS 2014

    2014 IEEE International Symposium on Circuits and Systems

    Welcome from the General Chairs of the Organising Committee

    On behalf of the Organising Committee we welcome you to Melbourne, ranked by the Economist Intelligence Unit in 2011, 2012 and 2013 as the most liveable City in the world, to Australia, and to the 2014 IEEE International Symposium on Circuits and Systems.

    ISCAS2014 is sponsored by the Institute of Electrical and Electronic Engineers Circuits and Systems Society (IEEE CASS), and generously supported by the State Government of Victoria and the Melbourne Convention Bureau.

    As you all know, ISCAS is the flagship annual conference of IEEE CASS, and it is well established as the worlds premier networking forum in the fields of theory, design and implementation of circuits and systems. As a result of the release of its 2012 Vision and Mission (see, the CASS goal is to develop ISCAS also as the leading forum for pioneering circuits and systems contributions to humanitys grand challenges.

    Accordingly, the special theme of ISCAS 2014 is nano/bio circuits and systems applied to enhancing living and lifestyles, particularly in relation to the multidisciplinary grand challenges in healthcare and wellbeing, the environment and climate change.


    ISCAS2014 has four keynote presentations, two of which address crucial aspects of high priority grand challenges, in health and in sustainability, while the other two describe frontier work at the extreme ends, in terms of scale, of circuits and systems engineering new devices that promise to sustain the remarkable advances in semiconductors that we have enjoyed for over 60 years, and design methods for systems of systems, which are relevant to so many grand challenge problems:

    Dr Donald E. Ingber from Harvard University on Monday will present Microengineered Human Organs On Chips, describing advances he and his team have made in the engineering of microfluidic Organs-on-Chipsmicrochips lined by living human cells created with microfabrication techniques that recapitulate organ-level structure and functions as a way to replace animal testing for drug development and mechanistic discovery.

    Professor Iven Mareels from The University of Melbourne in his talk on Wednesday, titled Circuits and Systems for Modern Irrigation Management, describes work over 15 years on circuits and systems research, development and commercialisation of an internet-of-things dedicated to smart irrigation water management.

    Professor Victor Zhirnov from the Semiconductor Research Corporation, in Scaling Limits of Nanoionic Devices, elaborates how recognition that crystal defects could be used as controllable entities, rather than being seen as imperfections, leads to the possibility that nanoionic resistive switching devices may be scalable down to ~ 1nm and thus may offer a promising path to replace the foundation of todays computing technologies.

    Dr. Stephan C. Stilkerich from Airbus Group will present Model Based Engineering of Highly Mobile Systems of Systems: Safe Aeroplanes; Safer Automobiles, with an introduction and post-talk discussion moderated by Dr Graham Hellestrand from Embedded Systems Technology. This keynote deals with front-line approaches to engineering electronic systems and their software, that are required to perform real-time control critical for the safe operation of airplanes and cars, including while operating in dense traffic and simultaneously reducing environmental impact.

    Technical Program Regular Sessions

    The technical program consists of tutorials, lecture papers, poster papers and demonstrations accepted based on peer review of the submission from regular open calls. We have retained many of the ISCAS features that have evolved in recent years, and added new features, some in response to ISCAS feedback, to continue to improve attendees experience of the event.

    We are very pleased to report that ISCAS2014 will be first time that the new CASS Conference App will be made available to all attendees, and we look forward to your feedback to improve it. The CAS Society has supported the development of the Conference App, through Conference4Me, to facilitate the navigation of the conference agenda and venues, secure access to proceedings, micro-blogging, live discussion and ranking of papers, providing feedback to organizers and general improvement of attendees experience at CAS conferences.

    Lecture papers follow the traditional ISCAS format. There are nine lecture sessions over three days, with session having 11 parallel streams. Sessions are 90 minutes with up to five papers, allowing 18 minute for each including introduction, presentation and discussion.

    The Demonstration session and Poster sessions are held over 3 hours commencing at the 3pm coffee break on Monday, Tuesday and Wednesday. The Demonstration session is Monday only. There are no competing parallel lecture sessions during the first 90 minutes of each days Posters/Demonstrations, allowing increased attention to them from all attendees.

    We have increased the length of the lunch break to 90 minutes. This will allow more time for the CASS side meetings, particularly the annual meetings of the 15 CASS Technical Committees, which are playing an increasingly important role in leadership of the Society. The longer break will also provide a more relaxed walk to the nearby restaurants for the lunch break, and we hope it will facilitate a greater level of networking.

    Following the ISCAS2013 lead we continue the trial of offering free attendance at Tutorial and CAS-FEST sessions for all ISCAS2014 registrants. We have also expanded both the tutorial program and CAS-FEST. CASS goals in these moves are both to widen the reach of and to increase participation in the tutorial program and CAS-FEST. We will greatly appreciate feedback from attendees on the value you perceive in these offerings.


    ISCAS2014 commences on Sunday with 19 half-day and 1 full-day Tutorial sessions.

    We have included two Tutorial sessions on Technology Management in response to feedback from CASS industry members:

    T19 Interfacing Organisations: How to successfully manage organizational interfaces by Felix Lustenberger; and T20 - Managing Technology Professionals by Tuna B. Tarim: Transitioning from Individual Contributor to Management. Felix and Tuna are CASS members and also leaders of IEEEs Technology Management Council, which was recently approved to transition to an IEEE Society.

    Also in response to feedback, from the Women in CAS (WiCAS) and Young Professionals Program (formerly GoLD) groups, is a tutorial on career development, social skills, collaboration and networking:

    T7 Engineering Networks that Work: Design Tools for Your Career by Dr Margaret Collins Margaret is a Cardiff-based research consultant, professional coach and trainer with extensive experience in helping people achieve their career goals. Come ready to get involved this is an active workshop session!

    A third initiative in the Tutorials is a full day introduction to Memristive devices, circuits, systems and applications, the topic of this years CAS-FEST. This will cover all aspects of this emerging technology, namely: theory, practical nanodevices, physical switching mechanisms, circuits and emerging applications:

    T21 If its Pinched its a memristor (AM), Professor Leon Chua T22 ReRAM Memristive Devices: Electrochemical Systems at the Atomic Scale (AM), Dr Ilia Valov T23 Analog and Mixed-Signal Applications of Memristive Devices (PM), Professor Dmitri Strukov T24 Integrating memristive devices in CMOS neuromorphic computing architectures (PM), Professor Giacomo Indiveri The aim of these sessions is to provide sufficient introduction to enable a typical ISCAS attendee to appreciate the state of the art material that will be presented in the CAS-FEST sessions.


    Since its inception in 2010, the Circuits and Systems Forum on Emerging and Selected Topics has progressively become more closely integrated with ISCAS. This years topic was again selected from an open call and the winning proposal, from members of the Nonlinear Circuits and Systems (NCAS) Technical Committee, has taken still further this level of integration with ISCAS. This includes the presentation of invited introductory tutorials in the regular ISCAS Tutorials program (see above), the inclusion of three Special Sessions in the regular ISCAS Lecture Papers program, a full day of CAS-FEST Special Sessions on Wednesday, and the highlight full day of CAS-FEST Keynote talks on Thursday.

    With this additional integration, CAS-FEST 2014 will bring together leading experts and provide a thorough coverage of the field of memristors, from an introduction to those unfamiliar with the field, through solidifying existing knowledge, to highlighting developments at the forefront of the field, and pointing to future challenges and promising directions for research. We hope that this coordinated approach will result in a landmark event in the development of the field.

    Social Events and Awards Dinner

    We are planning the now standard set of ISCAS evening events, with the Welcome Reception on Sunday evening soon after the conclusion of Tutorials, the WiCAS/YPP (formerly GoLD) event on early Monday evening, the Awards Dinner on Tuesday evening, and the Closing Reception immediately following the last session on Wednesday. Watch out for the Australian twists!

    We hope that you will have a rewarding and enjoyable time in Melbourne at ISCAS2014 and look forward to meeting as many of you as we can!

    Professor Jugdutt (Jack) Singh & Dr David Skellern General Co-Chairs, ISCAS 2014

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    Signal Processing Seminar

    Rocio Arroyo-Valles

    IEEE Distinguished Lecturer talk Wouter A. Serdijn

    Circuits and Systems for Electroceuticals

    Wouter Serdijn
    Delft University of Technology

    In the design process of electroceuticals, such as hearing instruments, pacemakers, cochlear implants and neurostimulators, the tradeoff between performance and power consumption is a delicate balancing act. In this presentation I will cover techniques to deal with the acquisition and generation of electrophysiological signals and to provide reliable communication with and through the body.

    We will discuss signal-specific analog-to-digital converters, morphological filters, arbitrary-waveform neurostimulators, energy harvesting and ultra wideband wireless communication from a low-power circuits and system perspective. Design examples and their performance will be discussed and an avenue sketched for treatment of various neurological disorders, such as tinnitus and addiction.

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    Lecture on wearable and implantable medical devices

    Lecture on wearable and implantable medical devices

    Wouter Serdijn

    Wouter Serdijn will present a lecture on wearable and implantable medical device electronics

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    Joint clock synchronization and delay estimation under quadratic clock model in wireless networks

    "Joint clock synchronization and delay estimation under quadratic clock model in wireless networks"

    Yan Xie

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    Lecture on ExG signal acquisition and processing electronics

    Lecture on ExG signal acquisition and processing electronics

    Wouter Serdijn

    Wouter Serdijn will present the BELEM lecture on ExG signal acquisition and processing electronics

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    IEEE ICASSP'2014

    IEEE ICASSP is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The series is sponsored by the IEEE Signal Processing Society and has been held annually since 1976. The conference features world-class speakers, tutorials, exhibits, a Show and Tell event, and over 120 lecture and poster sessions.

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    Signal Processing Seminar

    Compressive Cyclic Spectrum Reconstruction

    Dyonisius Dony Ariananda

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    Signal Processing Seminar

    GPU-Accelerated Adaptive Unstructured Road Detection Using Close Range Stereo Vision

    Bugra Ozutemiz, PhD candidate, Middle-East Technical University

    Detection of road regions is not a trivial problem especially in unstructured and/or off-road domains since traversable regions of these environments do not have common properties. Even the properties and appearance of these environments can change on the run. Hence, an algorithm working under unstructured conditions should have a continuous adaptation capability. To achieve this, a novel unstructured road detection algorithm that can continuously learn the road region is proposed in this work. The algorithm gathers close-range stereovision data using a simple roughness threshold and uses this information to estimate the road region in the far field. The proposed approach simplifies over the approaches in the literature by changing offline supervised learning and pose estimation of the vehicle and sensor with a simple heuristic coming from the nature of the problem: roughness (or smoothness) of the terrain. Thanks to the parallel nature of the algorithm, it is also implemented on a GPU with CUDA and a real-time running performance is achieved even on a low-performance graphics card. The experiments show that the algorithm gives excellent road detection results even under fast-changing light conditions and a running frequency of 50 Hz is achieved even in the worst case.

    Signal Processing Seminar

    Jorge Martinez-Castaneda

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    MSc TC Thesis Presentation

    Joint Angle-Frequency Estimation for Multiple Signals with Circular Arrays

    Joost Geelhoed
    CAS, TNO

    (Work carried out at TNO Defence, Safety and Security--The Hague)

    In electronic warfare information about radio signals is gathered. Parameters as the directionof- arrival (DOA) and the frequency can be estimated from sampled data received on antenna arrays. The objective of this thesis is to design a joint angle-frequency estimation (JAFE) algorithm for a circular uniform antenna array.

    A 1-D and 2-D JAFE algorithm is presented. Both algorithms use phase-mode excitation and ESPRIT. The 1-D algorithm with spatial smoothing is introduced. With this algorithm it possible to estimate signals with similar frequencies, when the elevation is 90 degrees. Simulations demonstrate that when two signals are coherent and a spatial smoothing factor of two is applied the mean of the azimuth estimation is the true mean. It is also demonstrated that when two signals have the same DOA a temporal smoothing factor of two is necessary and that more temporal smoothing reduces the standard deviation of the azimuth estimation. It is shown that the phase-mode excitation technique introduces a systematic error that is considerably high for few antenna elements and an even number of elements. It is demonstrated that interpolation can reduce this error in case a UCA of 5 elements or a UCA of 12 elements.

    PhD Thesis Defence

    Human Target Tracking in Multistatic Ultra-Wideband Radar

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    MS3 seminar

    Sparsity-based geometry optimization of the multisite radar networks

    Inna Ivashko

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    Signal Processing Seminar

    Tamas Keviczky
    3ME DCSC

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    Signal Processing Seminar

    OFDM Analysis: an Industry Point of View

    Earl McCune

    With more than 40 years of experience in wireless communications technology and its associated hardware construction, this presenter finds the current flurry of interest in orthogonal frequency division modulation (OFDM) very interesting. It is surprising that the extremely revolutionary nature of this signal class is actually poorly understood, particularly by the academic community. On the industrial side, there is a general misunderstanding of the economic consequences of building hardware needed to generate and receive an OFDM signal. Here the motivation and physical principles of OFDM are built from fundamental concepts, from which the signal characteristics are evaluated and compared with conventional QAM. Conclusions on the comparative economics of OFDM are drawn.

    EUCAP14 conference on antennas and propagation

    Abstract submission: 13 Oct 2013

    Conference dates: 6-8 April 2014

    Application areas:

    • Fundamental research
    • Satcom on-the-move terminal antennas
    • Navigation, localisation, positioning and tracking
    • Cellular mobile communications (includes: base station, handheld devices)
    • Machine to machine, internet on devices
    • Wireless networks (includes: WLAN, indoor communication)
    • High data-rate transfer and backbone networks
    • RFID and sensor networks
    • Biomedical (includes: human body interaction, on-body antennas, electromagnetic exposure and interactions)
    • Satellite communications
    • Satellite passive and active remote sensing
    • RADAR
    • Radio astronomy
    • Signal and image processing
    • Defense and security
    • Short-range Giga-bit communications
    • Commercial software

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    MS3 seminar

    Wideband Electric-Magnetic Antenna for Polarimetric Applications

    Nadia Haider

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    MS3 seminar

    Efficient Sequential-Hierarchical Deployment Strategy for Heterogeneous Sensor Networks

    Teun de Groot

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    Signal Processing Seminar

    Andreas Loukas
    EWI, Embedded Systems group

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    Signal Processing Seminar

    Millad Sardarabadi

    Signal Processing Seminar

    Speech reinforcement in noisy reverberant environments using a perceptual distortion measure

    Joao Crespo

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    Signal Processing Seminar

    On indoor localization based on acoustic signals and channel fingerprinting

    Yongwei (Enki) Wang
    NWPU, China

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    MSc CE Thesis Presentation

    Modeling of Olivocerebellar Neurons using SystemC and High-Level Synthesis

    M.F. van Eijk

    Neuro-scientific experiments often require a heavy amount of computational power to achieve a more efficient research process. Speeding up neuron models, used in such experiments, facilitates faster testing of scientific hypotheses and faster model refinement in order to better replicate the biological-cell behavior in question. To be able to simulate realistic behavior, high-detail neuron models need to be built and typically require maximal computing power. Hardware acceleration can be used to execute such simulations in a realistic amount of time. However, building a hardware implementation is very time-consuming and error-prone. Recent trends in RTL design have resulted in tools which can convert a high-level behavioral hardware description to an RTL description targeting an FPGA, which makes them ideal tools for complex FPGA designs, such as high-detail neuron models. In this thesis, a model of the Inferior-Olivary Nucleus (ION) network has been implemented with SystemC RTL and mapped onto an FPGA using a High-Level Synthesis (HLS) tool-flow. A shared-bus architecture has been used as proof of concept to interconnect the various cells in the modeled network. SystemC Transaction Level Modeling (TLM) facilitates fast network-interconnect modeling and verifying of model functionality. We have thus developed a SystemC TLM model that can predict trends of our RTL implementation. With this TLM model we were able to quickly model large network sizes and assess the models scalability with respect to utilized resources and performance. The complete network model has, subsequently, also been synthesized. Xilinx Vivado HLS has been used to convert the SystemC implementation to an RTL description mapped on a Virtex 7 (XC7VX550T) FPGA device. The resulting design achieved a speed-up of x6 compared to a reference C model, making it possible to simulate a network of 48 cells in real-time. Because HLS tools are used, the model can be easily modified to accommodate last-minute changes and models updates by the neuroscientific community.

    Signal Processing Seminar

    Current and future research lines in audio signal processing

    Richard Heusdens

    Signal Processing Seminar

    AIS ship identification signal separation using GSVD and the Signed URV algorithm

    Alle-Jan van der Veen

    Separating partially overlapping data packets using subspace intersection.

    Signal Processing Seminar

    Low-complexity computer simulation of multichannel room impulse responses

    Jorge Martinez-Castaneda

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    Signal Processing Seminar

    Rocio Arroyo-Valles

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    Signal Processing Seminar

    Relative velocity estimation using Multidimensional Scaling

    Raj Thilak Rajan

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    Signal Processing Seminar

    Tracking Position and Orientation of a Mobile Rigid Body

    Sundeep Prabhakar Chepuri

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    PhD Thesis Defence

    Spectrum sensing for cognitive sensor networks

    Sina Maleki

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    Signal Processing Seminar

    Resource allocation for mobile ad hoc networks

    Philippe Ciblat
    TELECOM ParisTech

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    Signal Processing Seminar

    ICA and IVA: Theory, Connections, and Applications to Medical Imaging

    Tulay Adali
    University of Maryland at Baltimore County

    Data-driven methods are based on a simple generative model and hence can minimize the assumptions on the nature of data. They have emerged as promising alternatives to the traditional model-based approaches in many applications where the underlying dynamics are hard to characterize. Independent component analysis (ICA), in particular, has been a popular data-driven approach and an active area of research. Starting from a simple linear mixing model and imposing the constraint of statistical independence on the underlying components, ICA can recover the linearly mixed components subject to only a scaling and permutation ambiguity. It has been successfully applied to numerous data analysis problems in areas as diverse as biomedicine, communications, finance, geophysics, and remote sensing.

    This talk reviews the fundamentals and properties of ICA, and provides a unified view of two main approaches for achieving ICA, those that make use of non-Gaussianity and sample dependence. Then, the generalization of ICA for analysis of multiple datasets, independent vector analysis (IVA), is introduced and the connections between ICA and IVA are highlighted, in particular in the way both approaches make use of signal diversity. Several key problems for achieving a successful decomposition, such as matrix optimization and density matching are discussed as well, along with examples of their application to medical image analysis.

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    Signal Processing Seminar

    Yongchang Hu

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    Signal Processing Seminar

    Constrained Imaging with Active-set methods

    Millad Mouri Sardarabadi

    Can radio astronomy imaging be improved by incorporating constraints such as non-negativity and known upper bounds?

    Signal Processing Seminar

    Secure Signal Processing: Challenges and Opportunities

    Zekeriya Erkin
    TU Delft ISP Lab

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    Short Course

    Network Information Theory: Cooperation and Interference

    Prof.dr. M.C. Gastpar

    Information Theory has proved to be a relevant and successful foundation for the understanding of point-to-point digital communication systems. In today's networked world, information flows in more complex patterns: We can think of networks of sensors or cameras that are wirelessly connected or of cooperating base stations in mobile telephony systems. Over the past decade, significant progress has been made towards extending information theory to such communication systems. In this short course, we survey both classical results and recent progress in Network Information Theory.


    This course is intended for interested PhD/MSc students with some background in information theory. They should register before Monday, September 2, 2013, via e-mail to


    Upon completion of the class, including homework, PhD students in the TU Delft Graduate School will earn 2 credits for their doctoral education program. Other students can receive a certificate.


    The short course will be taught mostly on the blackboard, along with some slides. It contains four modules:
    • Review of Basic Information Theory
    • Broadcast and Multiple Access
    • Techniques for Relaying and Cooperation
    • Managing Interference
    Two short homework sets will be provided to the students.


    Recommended (but not necessary) is the book by Abbas El Gamal and Young- Han Kim, Network Information Theory, Cambridge University Press, 2013.

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    Master Kick-off

    During the Master Kick-Off on Sept. 2-4, the new master students will be welcomed at an off-site location near Arnhem. The 3-day program is intended to familiarize the new (mostly international) students with the studies, The Netherlands, and each other.

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    MSc TC Thesis Presentation

    Compressive power spectral density estimation with non-uniform sampling

    Fernando de la Hucha Arce

    MSc TC Thesis Presentation

    Photo-acoustic imaging

    Victor Sloev

    A new non-invasive imaging modality is based on transmitting a laser pulse on the skin; the created heat will cause an acoustic pulse that is detected with an ultrasonic array. How can an image be formed?

    Signal Processing Seminar

    Optimal power allocation for energy harvesting cognitive radio networks


    Signal Processing Seminar

    Location tracking

    Raj Thilak Rajan

    Signal Processing Seminar

    Underwater localization

    Hamid Ramezani

    PhD Thesis Defence

    Wireless Transceiver Design For High Velocity Scenarios

    Tao Xu

    This thesis is dedicated to transceiver designs for high data-rate wireless communication systems with rapidly moving terminals. The challenges are two-fold. On the one hand, more spectral bandwidth of the transmitted signals is required by future wireless systems to obtain higher transmission rates, which can result in the frequency selectivity of the communication channels. On the other hand, Doppler effects emerge when high mobile speeds are present, which can result in the time selectivity of the communication channels. Therefore, it is likely that future wireless communication systems operate in doubly-selective channels, which impose many difficulties on transceiver designs. In this thesis, we investigate these challenges in the four scenarios, and propose a number of corresponding solutions.

    1. OFDM over Narrowband Channels;
    2. OFDM over Wideband Channels;
    3. Multi-Rate Transmissions over Wideband Channels;
    4. Robust Multi-band Transmissions over Wideband Channels.

    MSc Thesis Presentation

    Underwater Ultra-Wideband Fingerprinting-Based Localization

    Siavash Shakeri

    In this work a new location fingerprinting-based localization algorithm is proposed for an underwater medium by utilizing ultra-wideband (UWB) signals. In many conventional underwater systems, localization is accomplished by utilizing acoustic waves. On the other hand, electromagnetic waves havent been employed for underwater localization due to the high attenuation of the signal in water. However, it is possible to use UWB signals for short-range underwater localization. In this work, the feasibility of performing localization for an underwater medium is illustrated by utilizing a location-based fingerprinting approach. Existing algorithms for an indoor environment are evaluated in this project for an underwater medium. These algorithms are based on a neural networks or maximum likelihood estimator. Further, we also consider a classical k-nearest neighbors (KNN) approach. In addition, by employing the concept of compressive sampling, we propose a sparsity-based localization approach for which we define a system model exploiting the spatial sparsity. Moreover, a recently proposed grid mismatching algorithm is also adapted to the current localization framework and its performance is evaluated. Finally, the performance of the proposed methods is compared with the existing fingerprinting-based localization approaches.