World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
19955
World Ranking
6293
National Ranking
2814

Research.com Recognitions

  • 1996 - IEEE Fellow For contributions to the theory of adaptive control and the control of discrete event systems.

Overview

Peter J. Ramadge is affiliated with Princeton University in the United States. Their research spans primarily the field of Computer Science, with a focused emphasis on Artificial Intelligence.

Their subfields of study include:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research

The main topics addressed in their work are:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Natural Language Processing Techniques
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Robot Manipulation and Learning

Among their recent publications are:

  • "Projection-Based Constrained Policy Optimization," 2020, published in arXiv (Cornell University)
  • "BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis," 2020, published in PLoS Computational Biology
  • "BrainIAK: The Brain Imaging Analysis Kit," 2022, published in Aperture Neuro
  • "Expert Intervention Learning," 2021, published in Autonomous Robots
  • "KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation," 2022, published in arXiv (Cornell University)

Frequent coauthors in their collaborative research include:

  • Ting-Han Fan
  • Ta-Chung Chi
  • Alexander I. Rudnicky
  • Samuel A. Nastase
  • Uri Hasson

Publication venues where their work has appeared most often consist of:

  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Aperture Neuro
  • Autonomous Robots
  • IEEE Control Systems Letters

Peter J. Ramadge has been recognized as an IEEE Fellow since 1996 for contributions to the theory of adaptive control and the control of discrete event systems.

Best Publications

  • Supervisory control of a class of discrete event processes

    P. J. Ramadge;W. M. Wonham

  • The control of discrete event systems

    P.J.G. Ramadge;W.M. Wonham

  • Discrete-time multivariable adaptive control

    Graham Goodwin;Peter Ramadge;Peter Caines

  • On the supermal controllable sublanguage of a given language

    W. M. Wonham;P. J. Ramadge

  • A common, high-dimensional model of the representational space in human ventral temporal cortex.

    James V. Haxby;James V. Haxby;J. Swaroop Guntupalli;Andrew C. Connolly;Yaroslav O. Halchenko

  • Discrete Time Stochastic Adaptive Control

    Graham C. Goodwin;Peter Jeffrey Ramadge;Peter E. Caines

  • Modular feedback logic for discrete event systems

    P. J. Ramadge;W. M. Wonham

  • Modular Supervisory Control of Discrete Event Systems

    W. M. Wonham;Peter Jeffrey Ramadge

  • Rapid estimation of camera motion from compressed video with application to video annotation

    Yap-Peng Tan;D.D. Saur;S.R. Kulkami;P.J. Ramadge

  • A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute

    Hossein Valavi;Peter J. Ramadge;Eric Nestler;Naveen Verma

  • Computational approaches to fMRI analysis.

    Jonathan D Cohen;Nathaniel Daw;Barbara Engelhardt;Uri Hasson

  • Modular supervisory control of discrete-event systems

    Unknown

  • Function-based Intersubject Alignment of Human Cortical Anatomy

    Mert R. Sabuncu;Benjamin D. Singer;Bryan Conroy;Ronald E. Bryan;Ronald E. Bryan

  • Some tractable supervisory control problems for discrete-event systems modeled by Buchi automata

    P.J.G. Ramadge

  • Observability of discrete event systems

    Peter Ramadge

  • Control of discrete event processes with forced events

    C. Golaszewski;P. Ramadge

  • Automated analysis and annotation of basketball video

    Drew D. Saur;Yap-Peng Tan;Sanjeev R. Kulkarni;Peter J. Ramadge

  • Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries

    Zhen J. Xiang;Hao Xu;Peter J. Ramadge

  • A reduced-dimension fMRI shared response model

    Po-Hsuan Chen;Janice Chen;Yaara Yeshurun;Uri Hasson

  • A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement

    Hossein Valavi;Peter J. Ramadge;Eric Nestler;Naveen Verma

  • Inter-subject alignment of human cortical anatomy using functional connectivity.

    Bryan R. Conroy;Bryan R. Conroy;Benjamin D. Singer;J. Swaroop Guntupalli;Peter Jeffrey Ramadge

  • Optimization of queues using an infinitesimal perturbation analysis-based stochastic algorithm with general update times

    Edwin K. P. Chong;Peter J. Ramadge

  • On the supremal controllable sublanguage of a given language

    W. Wonham;P. Ramadge

Frequent Co-Authors

Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
James V. Haxby
James V. Haxby Dartmouth College
W.M. Wonham
W.M. Wonham University of Toronto
Uri Hasson
Uri Hasson Princeton University
Kenneth A. Norman
Kenneth A. Norman Princeton University
Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia
Richard J. Radke
Richard J. Radke Rensselaer Polytechnic Institute
Edwin K. P. Chong
Edwin K. P. Chong Colorado State University
Yap-Peng Tan
Yap-Peng Tan Nanyang Technological University
Peter E. Caines
Peter E. Caines McGill University

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