World's Best Scientists 2026 revealed!
Award Badge
Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
102
Citations
59326
World Ranking
162
National Ranking
79

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2010 - Semiconductor Industry Association University Researcher Award
  • 1995 - IEEE Fellow For contributions in design synthesis and concurrent architectures for signal processing applications.

Overview

Jan M. Rabaey is affiliated with the University of California, Berkeley in the United States. Their research spans multiple fields, predominantly in engineering and computer science, with specific emphasis on electrical and electronic engineering, biomedical engineering, artificial intelligence, computer networks and communications, and materials chemistry.

The scientist's main research topics include:

  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Wireless Body Area Networks
  • Ferroelectric and Piezoelectric Materials
  • Advanced Sensor and Energy Harvesting Materials
  • Molecular Communication and Nanonetworks
  • Parallel Computing and Optimization Techniques

Jan M. Rabaey has published extensively, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • IEEE Solid-State Circuits Magazine
  • Proceedings of the IEEE
  • IEEE Transactions on Microwave Theory and Techniques
  • Nature Electronics

Notable recent papers include:

  • "A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition," 2020, Nature Electronics
  • "Printed, flexible, compact UHF-RFID sensor tags enabled by hybrid electronics," 2020, Scientific Reports
  • "Vector Symbolic Architectures as a Computing Framework for Emerging Hardware," 2022, Proceedings of the IEEE
  • "Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata," 2022, Brain Informatics
  • "Adaptive Body Area Networks Using Kinematics and Biosignals," 2020, IEEE Journal of Biomedical and Health Informatics

Frequent co-authors collaborating with Jan M. Rabaey include:

  • Abbas Rahimi
  • Alisha Menon
  • Denis Kleyko
  • Andreia Cathelin
  • Ali Moin

The scientist has received awards such as the Semiconductor Industry Association University Researcher Award in 2010 and was named an IEEE Fellow in 1995 for contributions in design synthesis and concurrent architectures for signal processing applications.

Best Publications

  • Digital integrated circuits : a design perspective

    Jan M Rabaey;Anantha Chandrakasan;Borivoje Nikolic

  • A study of low level vibrations as a power source for wireless sensor nodes

    Shad Roundy;Paul K. Wright;Jan Rabaey

  • Energy aware routing for low energy ad hoc sensor networks

    R.C. Shah;J.M. Rabaey

  • PicoRadio supports ad hoc ultra-low power wireless networking

    J.M. Rabaey;M.J. Ammer;J.L. da Silva;D. Patel

  • Digital integrated circuits: a design perspective

    Jan M. Rabaey

  • Energy scavenging for wireless sensor networks

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Improving power output for vibration-based energy scavengers

    S. Roundy;E.S. Leland;J. Baker;E. Carleton

  • System-level design: orthogonalization of concerns and platform-based design

    K. Keutzer;A.R. Newton;J.M. Rabaey;A. Sangiovanni-Vincentelli

  • Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks

    Chris Savarese;Jan M. Rabaey;Koen Langendoen

  • Low Power Design Methodologies

    Jan M. Rabaey;Massoud Pedram

  • Location in distributed ad-hoc wireless sensor networks

    C. Savarese;J.M. Rabaey;J. Beutel

  • Energy Scavenging for Wireless Sensor Networks: with Special Focus on Vibrations

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Lightweight time synchronization for sensor networks

    Jana van Greunen;Jan Rabaey

  • Power Sources for Wireless Sensor Networks

    Shad Roundy;Dan Steingart;Luc Frechette;Paul K. Wright

  • Comparison of Methods

    Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey

  • Optimizing power using transformations

    A.P. Chandrakasan;M. Potkonjak;R. Mehra;J. Rabaey

  • Low Power Design Essentials

    Jan Rabaey

  • A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

    Ali Moin;Andy Zhou;Abbas Rahimi;Alisha Menon

  • Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

    Dongjin Seo;Ryan M. Neely;Konlin Shen;Utkarsh Singhal

  • Picoradics for wireless sensor networks: the next challenge in ultra-low-power design

    J.M. Rabaey;J. Ammer;T. Karalar;Suetfei Li

  • Distributed algorithms for transmission power control in wireless sensor networks

    M. Kubisch;H. Karl;A. Wolisz;L.C. Zhong

  • Ultralow-Power Design in Near-Threshold Region

    D. Markovic;C.C. Wang;L.P. Alarcon;Tsung-Te Liu

Frequent Co-Authors

Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Elad Alon
Elad Alon University of California, Berkeley
Michel M. Maharbiz
Michel M. Maharbiz University of California, Berkeley
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Adam Wolisz
Adam Wolisz Technical University of Berlin
Toni Bjorninen
Toni Bjorninen Tampere University
Robert W. Brodersen
Robert W. Brodersen University of California, Berkeley
Lauri Sydanheimo
Lauri Sydanheimo Tampere University
Brian Otis
Brian Otis University of Washington
Leena Ukkonen
Leena Ukkonen Tampere University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can open doors to diverse career opportunities. Many professionals seek flexible options such as a 6 month programs, which provide specialized skills in a condensed timeframe, helping to quickly advance careers or shift focus within the tech field.

Those who identify as introverts may find success in roles that allow for focused, independent work. According to good jobs for introverts, careers in engineering and project-focused disciplines often align well with introverted work styles, offering opportunities to contribute meaningfully without constant social interaction.

For those aspiring to leadership roles, combining technical knowledge with management skills is essential. Pursuing an accelerated online project management degree allows engineers to quickly gain credentials that enhance their ability to lead complex projects efficiently.

Comprehensive programs like a bachelor's in project management offer a strong foundation for managing engineering teams and processes, creating pathways to senior roles in the engineering sector.

Best Scientists Citing Jan M. Rabaey

Trending Scientists