World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
24439
World Ranking
12336
National Ranking
4990

Research.com Recognitions

  • 2005 - IEEE Fellow For invention of backpropagation and pioneering of neural network training.
  • 1995 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society

Overview

Paul J. Werbos is affiliated with the University of Memphis in the United States. Their research is primarily situated within the field of Computer Science, with significant contributions to Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Information Systems, and Computer Networks and Communications.

Their work spans several key topics, including:

  • Reinforcement Learning in Robotics
  • Adaptive Dynamic Programming Control
  • Digital Transformation in Industry
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Computability, Logic, AI Algorithms
  • Machine Learning and Extreme Learning Machines (ELM)

Werbos has collaborated frequently with several researchers, including:

  • J. J. Joshua Davis
  • Carey L. Jackman
  • R. Leonhardt
  • M. D. Hoogerland
  • Fei-Yue Wang

Their recent publications include the following papers:

  • "Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S," 2023, published in IEEE Transactions on Systems Man and Cybernetics Systems
  • "Quantum technology to expand soft computing," 2022, published in Systems and Soft Computing
  • "Phase-Shifted Bell States," 2025, published on arXiv (Cornell University)
  • "Phase-shifted Bell states," 2025, published in Journal of the Optical Society of America B

The venues where Werbos has published include:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Systems and Soft Computing
  • arXiv (Cornell University)
  • Journal of the Optical Society of America B

Throughout their career, Werbos received several awards including becoming an IEEE Fellow in 2005 for the invention of backpropagation and pioneering neural network training. They were also honored with the Neural Networks Pioneer Award by the IEEE Computational Intelligence Society in 1995.

Best Publications

  • Backpropagation through time: what it does and how to do it

    P.J. Werbos

  • Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences

    P. Werbos

  • Neural networks for control

    W. Thomas Miller;Richard S. Sutton;Paul J. Werbos

  • Approximate dynamic programming for real-time control and neural modeling

    P. J. Werbos

  • Generalization of backpropagation with application to a recurrent gas market model

    Paul J. Werbos

  • The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting

    Paul John Werbos

  • Neural networks for control and system identification

    P.J. Werbos

  • Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research

    Paul J. Werbos

  • Applications of advances in nonlinear sensitivity analysis

    Paul J. Werbos

  • BACKPROPAGATION: PAST AND FUTURE

    Paul J. Werbos

  • Long-term predictions of chemical processes using recurrent neural networks: a parallel training approach

    Hong Te Su;Thomas J. McAvoy;Paul Werbos

  • Consistency of HDP applied to a simple reinforcement learning problem

    Paul J. Werbos

  • 2009 Special Issue: Intelligence in the brain: A theory of how it works and how to build it

    Paul J. Werbos

  • The roots of backpropagation

    Paul Werbos

  • Stable adaptive control using critic designs

    Paul J. Werbos

  • Biocomplexity: adaptive behavior in complex stochastic dynamical systems.

    Walter J. Freeman;Robert Kozma;Robert Kozma;Paul J. Werbos

  • Computational Intelligence for the Smart Grid-History, Challenges, and Opportunities

    P. J. Werbos

  • Neurocontrol and fuzzy logic: connections and designs

    Paul J. Werbos

  • Complete stability analysis of a heuristic approximate dynamic programming control design

    Yury Sokolov;Robert Kozma;Ludmilla D. Werbos;Paul J. Werbos

  • Computational Schemes and Neural Network Models for Formation and Control of Multijoint Arm Trajectory

    W. Thomas Miller;Richard S. Sutton;Paul J. Werbos

Frequent Co-Authors

Richard S. Sutton
Richard S. Sutton University of Alberta
Robert Kozma
Robert Kozma University of Memphis
Walter J. Freeman
Walter J. Freeman University of California, Berkeley
Jonathan P. Dowling
Jonathan P. Dowling Louisiana State University
Thomas J. McAvoy
Thomas J. McAvoy University of Maryland, College Park

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