2026 Brian C. Williams: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	4992	4855	2319	2240	285	14859

Overview

Brian C. Williams is affiliated with MIT in the United States, with a research focus encompassing computer science and engineering. Their work includes significant contributions to artificial intelligence, automotive engineering, computer vision and pattern recognition, control and systems engineering, as well as safety, risk, reliability, and quality.

The scientist's research spans several main topics, including:

Autonomous Vehicle Technology and Safety
Robotic Path Planning Algorithms
Traffic and Road Safety
AI-based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Formal Methods in Verification
Constraint Satisfaction and Optimization

Brian C. Williams has authored numerous papers in prominent venues. Recent publications include:

"M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty," 2020, IEEE Robotics and Automation Letters
"DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling," 2020, IEEE Robotics and Automation Letters
"Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments," 2022, 2022 International Conference on Robotics and Automation (ICRA)

Publications have appeared frequently in venues such as:

arXiv (Cornell University)
BDJ
IEEE Robotics and Automation Letters
Proceedings of the International Conference on Automated Planning and Scheduling
2022 International Conference on Robotics and Automation (ICRA)

Frequent collaborators include Ashkan Jasour, Xin Huang, Guy Rosman, Stephen G. McGill, and John J. Leonard, indicating a network of close research partnerships over multiple projects.

Best Publications

Diagnosing multiple faults

J de Kleer;B C Williams

3124
Citations
Remote Agent: to boldly go where no AI system has gone before

Nicola Muscettola;P. Pandurang Nayak;Barney Pell;Brian C. Williams

995
Citations
A model-based approach to reactive self-configuring systems

Brian C. Williams;P. Pandurang Nayak

740
Citations
Diagnosis with behavioral modes

Johan De Kleer;Brian C. Williams

632
Citations
Chance-Constrained Optimal Path Planning With Obstacles

L. Blackmore;M. Ono;B. C. Williams

435
Citations
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control

Lars Blackmore;Masahiro Ono;Askar Bektassov;Brian C Williams

379
Citations
An autonomous spacecraft agent prototype

Barney Pell;Douglas E. Bernard;Steve A. Chien;Erann Gat

335
Citations
Air-Combat Strategy Using Approximate Dynamic Programming

James S. McGrew;Jonathon P. How;Brian Williams;Nicholas Roy

298
Citations
Model-based programming of intelligent embedded systems and robotic space explorers

B.C. Williams;M.D. Ingham;S.H. Chung;P.H. Elliott

267
Citations
Improved human-robot team performance using chaski, a human-inspired plan execution system

Julie Shah;James Wiken;Brian Williams;Cynthia Breazeal

267
Citations
Qualitative analysis of MOS circuits

Brian C. Williams

264
Citations
Mode Estimation of Probabilistic Hybrid Systems

Michael W. Hofbaur;Michael W. Hofbaur;Brian C. Williams

254
Citations
Conflict-directed A* and its role in model-based embedded systems

Brian C. Williams;Robert J. Ragno

248
Citations
Doing time: putting qualitative reasoning on firmer ground

Brian C. Williams

244
Citations
A probabilistic approach to optimal robust path planning with obstacles

L. Blackmore;Hui Li;B. Williams

223
Citations
A reactive planner for a model-based executive

Brian C. Williams;P. Pandurang Nayak

221
Citations
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint

M. Ono;B.C. Williams

188
Citations
Hybrid Estimation of Complex Systems

M.W. Hofbaur;B.C. Williams

187
Citations
Executing reactive, model-based programs through graph-based temporal planning

Phil Kim;Brian C. Williams;Mark Abramson

182
Citations
Reasoning about multiple faults

Johan de Kleer;Brian C. Williams

174
Citations

Frequent Co-Authors

Julie A. Shah MIT

Steve Chien Jet Propulsion Lab

Nicholas Roy MIT

Richard M. Murray California Institute of Technology

Johan de Kleer Palo Alto Research Center

Jonathan Cagan Carnegie Mellon University

Martin Leucker University of Lübeck

Klaus Havelund Jet Propulsion Lab

Andreas Hofmann University of Melbourne

Joshua D. Greene Harvard University

External Links

Personal website of Brian C. Williams Google Scholar page

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