Dr. Gautam Biswas is a Cornelius Vanderbilt Professor of Engineering and Professor of Computer Science and Computer Engineering at Vanderbilt University. He conducts research in Intelligent Systems with primary interests in applying AI and Machine Learning techniques for monitoring and control of Cyber Physical systems, and developing Open Ended Learning Environments (OELEs) for K-12 STEM and Computational Thinking (CT) learning environments. His early work focused on learning by teaching environments that promoted the social and cognitive aspects of learning. The best known work in this area, the Betty’s Brain system is still used to teach multiple science topics in middle classrooms. His more recent work focuses on developing learning environments, such as CTSiM (Computational Thinking using Simulation and Modeling), C2STEM (Collaborative, Computational STEM), and SPICE (Science Projects Integrating Computing and Engineering) that exploit synergies between CT and STEM concepts and practices to help middle and high school students learn by building computational models. He has also developed innovative learning analytics approaches, using multimodal data for studying students’ self-regulated learning behaviors and linking them to their performance in the learning environment.

He has published extensively, and has over 600 refereed publications, and received a number of best paper awards. In 2011, he received the NASA 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 addition to being an APSCE Fellow, Prof. Biswas is also a Fellow of the IEEE and the Prognostics and Health Management (PHM) Society.