World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
17705
World Ranking
1349
National Ranking
557

Research.com Recognitions

  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2011 - IEEE Fellow For contributions to integrated biomedical instrumentation

Overview

Gert Cauwenberghs is affiliated with the University of California, San Diego in the United States. Their research spans a range of topics within engineering and neuroscience, with a particular focus on electrical and electronic engineering, cognitive neuroscience, and cellular and molecular neuroscience.

The main fields of study include:

  • Engineering
  • Neuroscience

Within these fields, they have contributed extensively to subfields such as:

  • Electrical and Electronic Engineering
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence
  • Biomedical Engineering

Their work covers various topics, notably:

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Analog and Mixed-Signal Circuit Design

Gert Cauwenberghs has published in several frequent venues that include:

  • Proceedings of the IEEE
  • arXiv (Cornell University)
  • Nature Communications
  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Biomedical Circuits and Systems

Their recent papers demonstrate activity at the intersection of cutting-edge neural technologies and memory computing. Key publications are:

  • "A compute-in-memory chip based on resistive random-access memory," 2022, Nature
  • "Neuromorphic computing at scale," 2025, Nature
  • "In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat," 2023, Nature Biomedical Engineering
  • "Multi-level, forming and filament free, bulk switching trilayer RRAM for neuromorphic computing at the edge," 2024, Nature Communications
  • "Characterization of Ag/AgCl Dry Electrodes for Wearable Electrophysiological Sensing," 2022, Frontiers in Electronics

Their frequent co-authors include:

  • Georges Gielen
  • John Baillieul
  • Christofer Hierold
  • Isabel Trancoso
  • Dawn Melley

Awards received by Gert Cauwenberghs reflect recognition in their field, including:

  • Fellow of the Indian National Academy of Engineering (INAE), 2015
  • IEEE Fellow, 2011, for contributions to integrated biomedical instrumentation

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review

    Y M Chi;Tzyy-Ping Jung;G Cauwenberghs

  • Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG

    Tim Mullen;Christian Kothe;Yu Mike Chi;Alejandro Ojeda

  • Power harvesting and telemetry in CMOS for implanted devices

    C. Sauer;M. Stanacevic;G. Cauwenberghs;N. Thakor

  • Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces

    Y. M. Chi;Yu-Te Wang;Yijun Wang;C. Maier

  • Adaptive optics based on analog parallel stochastic optimization: analysis and experimental demonstration

    Mikhail A. Vorontsov;Gary W. Carhart;Marc Cohen;Gert Cauwenberghs

  • Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology.

    Hui Fang;Hui Fang;Ki Jun Yu;Ki Jun Yu;Christopher Gloschat;Zijian Yang

  • Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses

    R.J. Vogelstein;U. Mallik;J.T. Vogelstein;G. Cauwenberghs

  • Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

    Chetan Singh Thakur;Jamal Lottier Molin;Gert Cauwenberghs;Giacomo Indiveri

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS

    Sankar Basu;Guanrong Chen;Andreas G. Andreou

  • A Low-Noise, Non-Contact EEG/ECG Sensor

    T.J. Sullivan;S.R. Deiss;G. Cauwenberghs

  • Wireless Non-contact EEG/ECG Electrodes for Body Sensor Networks

    Yu M. Chi;Gert Cauwenberghs

  • Micropower CMOS Integrated Low-Noise Amplification, Filtering, and Digitization of Multimodal Neuropotentials

    M. Mollazadeh;K. Murari;G. Cauwenberghs;N. Thakor

  • Rapid determination of particle velocity from space-time images using the Radon transform

    Patrick J. Drew;Pablo Blinder;Gert Cauwenberghs;Andy Y. Shih

  • Kerneltron: support vector "machine" in silicon

    R. Genov;G. Cauwenberghs

  • An analog VLSI recurrent neural network learning a continuous-time trajectory

    G. Cauwenberghs

  • Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons.

    David H. Goldberg;Gert Cauwenberghs;Andreas G. Andreou

  • Integrated Circuits and Electrode Interfaces for Noninvasive Physiological Monitoring

    Sohmyung Ha;Chul Kim;Yu M. Chi;Abraham Akinin

  • Method and apparatus for long-term multi-valued storage in dynamic analog memory

    Gert Cauwenberghs;Amnon Yariv

  • Analog VLSI Biophysical Neurons and Synapses With Programmable Membrane Channel Kinetics

    Theodore Yu;Gert Cauwenberghs

  • VLSI Potentiostat Array With Oversampling Gain Modulation for Wide-Range Neurotransmitter Sensing

    M. Stanacevic;K. Murari;A. Rege;G. Cauwenberghs

  • Non-contact Low Power EEG/ECG Electrode for High Density Wearable Biopotential Sensor Networks

    Yu M. Chi;Stephen R. Deiss;Gert Cauwenberghs

Frequent Co-Authors

Roman Genov
Roman Genov University of Toronto
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Patrick P. Mercier
Patrick P. Mercier University of California, San Diego
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
Yu-Hwa Lo
Yu-Hwa Lo University of California, San Diego
Eugenio Culurciello
Eugenio Culurciello Purdue University West Lafayette
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Lawrence E. Larson
Lawrence E. Larson Brown University
Amnon Yariv
Amnon Yariv California Institute of Technology
Christopher M. Thomas
Christopher M. Thomas University of Birmingham

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