Gautam Biswas

Cornelius Vanderbilt Professor of Engineering; Professor of Computer Science, Electrical and Computer Engineering

Senior Research Scientist

Gautam Biswas

Gautam Biswas conducts research in Intelligent Systems with primary interests in monitoring, control, and fault adaptivity of complex cyber-physical systems. In particular, his research focuses on Deep Reinforcement Learning, Unsupervised and Semi-supervised Anomaly Detection methods, and Online Risk and Safety analysis applied to Air and Marine vehicles as well as Smart Buildings. His work, in conjunction with Honeywell Technical Center and NASA Ames, led to the NASA 2011 Aeronautics Research Mission Directorate Technology and Innovation Group Award for Vehicle Level Reasoning System and Data Mining methods to improve aircraft diagnostic and prognostic systems.

His research is supported by funding from the Army, NASA, and NSF. He has published extensively and currently has over 600 refereed publications. He is a Fellow of the IEEE Computer Society, Asia Pacific Society for Computers in Education, and the Prognostics and Health Management society.

Artificial Intelligence, Machine Learning, Reinforcement Learning Monitoring, Diagnosis, Fault-Adaptive Control of Cyber-Physical Systems Intelligent Learning Environments for K-12 STEM+C Education Multimodal Learning Analytics