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Research Areas

  • Model- and Data-Driven methods for Monitoring, Control, Diagnostics, Prognostics, and Fault Adaptive Control in Cyber-Physical Systems
  • Reinforcement Learning
  • Intelligent Learning Environments for STEM + CS Education
  • Learner Behavior Modeling, Collaborative Learning, Metacognition
  • Studying Teamwork in Mixed Reality Environments


Research Labs

Research Description (Short)

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.

A second research area involves developing intelligent open-ended learning environments focused on learning and instruction in STEM + CS 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.

Prof. Biswas’  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.

He is a co-PI of an NSF AI Institute for Engaged Learning (ENGAGE AI)

Full Publication List

Contact Information

Department of Computer Science
ISIS Building, Room 304E
1025 16th Avenue South
Nashville, TN 37212.

Tele: (615) 343-6204

email: gautam (dot) biswas (at)