dr.ir. M.A.P. Pertijs

Associate Professor
Electronic Instrumentation (EI), Department of Microelectronics

Expertise: Sensor interface circuits, smart sensors, ultrasonic imaging, acoustic sensors, energy efficiency, ultra-low power design, (self-)calibration techniques, capacitive sensors, precision analog circuits.

Themes: Health and Wellbeing

Biography

Michiel Pertijs received the M.Sc. and Ph.D. degrees in electrical engineering (both cum laude) from Delft University Technology in 2000 and 2005, respectively. From 2000 to 2005, he was a researcher with the Electronic Instrumentation Laboratory of Delft University of Technology, working on high-accuracy CMOS smart temperature sensors. The results of his research have been applied in several commercial temperature sensors in collaboration with NXP. From 2005 to 2008, Dr. Pertijs was with National Semiconductor, where he designed precision operational amplifiers and instrumentation amplifiers. From 2008 to 2009, he was a Sr. Researcher at imec / Holst Centre, where he worked on ultra-low-power electronics for wireless autonomous transducer systems.

In 2009, he joined the Electronic Instrumentation Laboratory of Delft University of Technology, where he is now an Associate Professor. He heads a research group focusing on integrated circuits for medical ultrasound and energy-efficient smart sensors. Dr. Pertijs teaches Amplifiers and Instrumentation (EE1C31) in the EE BSc program and Measurement and Instrumentation (EE4C08) in the EE MSc Program. In 2014, he was elected Best Teacher of the EE program at Delft University of Technology.

Dr. Pertijs has authored or co-authored 2 books, 3 book chapters, 12 patents, and over 80 technical papers. He received the ISSCC 2005 Jack Kilby Award for Outstanding Student Paper and the IEEE Journal of Solid-State Circuits 2005 Best Paper Award. For his PhD research he was awarded the title 'Simon Stevin Gezel' by the Dutch Technology Foundation STW.

Dr. Pertijs serves as an Associate Editor of the IEEE Journal of Solid-State Circuits (JSSC). He is a member of the technical program committee the European Solid-State Circuits Conference (ESSCIRC), and also served on the program committees of the International Solid-State Circuits Conference (ISSCC) and the IEEE Sensors Conference.

Teaching:

  • Amplifiers and Instrumentation, EE1C31, with Dr. Jaap Hoekstra
  • Measurement and Instrumentation, EE4C08, with Prof. Kofi Makinwa
  • Smart Sensor Systems (ET4233) with Prof. Kofi Makinwa
  • Mentor of the EE Honours Program Bachelor
  • Mentor of the EEMCS Graduate School

EE1C31 Amplifiers and instrumentation

This course introduces the basics of electronic circuits for processing and amplification of information-carrying signals, and the basics of electronic instrumentation.

EE4C08 Measurement and instrumentation

Precision Ultrasonic Flow Meters using Matrix Transducers

In this project, we will develop a new class of clamp-on ultrasonic flow meters using matrix transducers

Integrated Circuits for Intra-Vascular Ultrasound Imaging

In this project, we develop integrated circuits to enable the next generation of 3D intra-vascular ultrasound probes

Integrated Near Field sensOrs for high Resolution MicrowavE spectRoscopy

The goal of this project is the creation of a new class of sensors, enabling fast and accurate dielectric characterization of biological samples, with high-sensitivity and high-spatial resolution.

3D Plane-wave ultrasound matrix transducer for carotid artery diagnosis

In this project, we will develop a very powerful, three-dimensional (3D) ultrasound system for real-time imaging of the carotid arteries.

Miniature ultrasound probes for real-time 3D imaging and monitoring of cardiac interventions

This research project will enable the next generation of miniature ultrasound probes for real-time 3D transesophageal echocardiography, suitable for use in small children and newborns.

Projects history

Perishables Monitoring through Smart Tracking of Lifetime and Quality by RFID

In this project, a wireless sensor platform has been developed to monitor the environmental conditions of perishable goods in the supply chain between producer and consumer.

Last updated: 31 Oct 2017