Gautam Biswas
About
Gautam Biswas is a Cornelius Vanderbilt Professor of Engineering, and Professor of Computer Science and Computer Engineering in the CS Department. He also is a Senior Research Scientist at the Institute for Software Integrated Systems. He has an undergraduate degree in Electrical Engineering from the Indian Institute of Technology (IIT) in Mumbai, India, and M.S. and Ph.D. degrees in Computer Science from Michigan State University in E. Lansing, MI. Prof. 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. In other research, Prof. Biswas is involved in developing intelligent open-ended learning environments focused on learning and instruction in STEM domains. He has developed innovative learning analytics and data mining techniques for studying students’ learning behaviors and linking them to their metacognitive and self-regulated learning strategies. More recently, he has been analyzing multi-modal data from augmented reality training environments to study individual and team performance. His research has been supported by funding from the Army, Navy, NASA, NSF, DARPA, and the US Department of Education. He has published extensively, and currently has over 600 refereed publications. Dr. Biswas is an associate editor of the International Journal of Prognostics and Health Management and the Computational Thinking and STEM Education Journal. He also is on the editorial board of International Journal of Artificial Intelligence in Education. He has served on the Program Committee of a number of conferences, and currently is serving on the Executive committee of the Asia Pacific Society for Computers in Education. He is a Fellow of the IEEE Computer Society, the Prognostics and Health Management society, and the Asia Pacific Society for Computers in Education.
Research Performance Summary
First Recorded Paper
Evaluation of projection algorithms
Year: 1981
Citations: 158
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Latest Recorded Paper
Analyzing embodied learning in classroom settings: A human-in-the-loop AI approach for multimodal learning analytics
Year: 2026
Citations: 1
Venue: Learning and Instruction 103
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.