World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
60
Citations
50558
World Ranking
1586
National Ranking
645

Research.com Recognitions

  • 2001 - Benjamin Franklin Medal, Franklin Institute
  • 1995 - Member of the National Academy of Engineering For contributions to the theory of quantization noise, adaptive signal processing, and neural networks.
  • 1991 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
  • 1986 - IEEE Alexander Graham Bell Medal "For fundamental contributions to adaptive filtering, adaptive noise and echo cancellation, and adaptive antennas."
  • 1980 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Bernard Widrow is affiliated with Stanford University in the United States and has contributed extensively to several fields including computer science, neuroscience, and engineering. Their research spans multiple subfields such as artificial intelligence, cognitive neuroscience, electrical and electronic engineering, computer vision and pattern recognition, and cellular and molecular neuroscience.

The core topics of their work focus on neural networks and applications, neural networks and reservoir computing, neural dynamics and brain function, advanced memory and neural computing, advanced adaptive filtering techniques, cognitive computing and networks, and neuroscience and neural engineering.

Widrow's recent publication includes the paper titled The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics published in 2023 in Frontiers in Computer Science. This reflects their engagement with cutting-edge developments in computing inspired by brain function.

The scientist has collaborated frequently with several coauthors, including:

  • Edward P. Katz
  • Yingxu Wang
  • Young Sik Kim
  • Dookun Park
  • Jose Krause Perin

Widrow's publications have appeared mainly in Frontiers in Computer Science, among other venues.

They have contributed to book publications with Springer International Publishing, including:

  • Cybernetics 2.0 (2022)
  • Cognitive Memory (2025)

Over the course of their career, Widrow has received multiple awards:

  • Benjamin Franklin Medal, Franklin Institute (2001)
  • Member of the National Academy of Engineering (1995) for contributions to the theory of quantization noise, adaptive signal processing, and neural networks
  • Neural Networks Pioneer Award, IEEE Computational Intelligence Society (1991)
  • IEEE Alexander Graham Bell Medal (1986) for fundamental contributions to adaptive filtering, adaptive noise and echo cancellation, and adaptive antennas
  • Fellow of the American Association for the Advancement of Science (AAAS) (1980)

Best Publications

  • Adaptive Signal Processing

    Bernard Widrow;Samuel D. Stearns

  • Adaptive noise cancelling: Principles and applications

    B. Widrow;J.R. Glover;J.M. McCool;J. Kaunitz

  • Adaptive switching circuits

    Bernard Widrow;Marcian E. Hoff

  • 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation

    B. Widrow;M.A. Lehr

  • Adaptive Antenna Systems

    B. Widrow;P. Mantey;L. Griffiths;B. Goode

  • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights

    D. Nguyen;B. Widrow

  • Stationary and nonstationary learning characteristics of the LMS adaptive filter

    B. Widrow;J.M. McCool;M.G. Larimore;C.R. Johnson

  • Neural networks for self-learning control systems

    Derrick H. Nguyen;Bernard Widrow

  • The complex LMS algorithm

    B. Widrow;J. McCool;M. Ball

  • Adaptive inverse control

    B. Widrow;M. Bilello

  • The least mean fourth (LMF) adaptive algorithm and its family

    E. Walach;B. Widrow

  • Neural nets for adaptive filtering and adaptive pattern recognition

    Bernard Widrow;Rodney Winter

  • Neural networks: applications in industry, business and science

    Bernard Widrow;David E. Rumelhart;Michael A. Lehr

  • Statistical theory of quantization

    B. Widrow;I. Kollar;Ming-Chang Liu

  • Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications

    Bernard Widrow;István Kollár

  • Layered neural nets for pattern recognition

    B. Widrow;R.G. Winter;R.A. Baxter

  • Signal cancellation phenomena in adaptive antennas: Causes and cures

    B. Widrow;K. Duvall;R. Gooch;W. Newman

  • Least-mean-square adaptive filters

    Simon S. Haykin;Bernard Widrow

  • Punish/Reward: Learning with a Critic in Adaptive Threshold Systems

    Bernard Widrow;Narendra K. Gupta;Sidhartha Maitra

  • Least-Mean-Square Adaptive Filters: Haykin/Least-Mean-Square Adaptive Filters

    Simon Haykin;Bernard Widrow

  • The truck backer-upper: an example of self-learning in neural networks

    Derrick Nguyen;Bernard Widrow

Frequent Co-Authors

Simon Haykin
Simon Haykin McMaster University
Gregory L. Plett
Gregory L. Plett University of Colorado Colorado Springs
John M. Cioffi
John M. Cioffi Stanford University
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Gregory T. A. Kovacs
Gregory T. A. Kovacs SRI International
Witold Pedrycz
Witold Pedrycz University of Alberta

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 those interested in advancing their careers in Electronics and Electrical Engineering, exploring related online degrees can provide valuable opportunities. Many programs now offer flexible learning options, such as online colleges with flexible start dates, allowing students to begin courses according to their own schedules. This flexibility is ideal for working professionals and those balancing personal commitments.

Competency-based learning has also gained traction, focusing on skill mastery rather than traditional credit hours. Institutions recognized as competency based universities allow students to progress at their own pace, making these programs efficient pathways for individuals with prior experience or knowledge.

For military spouses and dependents, specialized support and tailored programs are available through colleges for military spouses. These institutions offer resources that address the unique challenges faced by military families, ensuring access to quality education and career advancement.

Additionally, those interested in teaching within technical fields may consider pursuing the best online teaching master's programs to develop instructional skills alongside their technical expertise, opening diverse career pathways in education and training.

Best Scientists Citing Bernard Widrow

Trending Scientists