Fellow of the Prognostics and Health Management (PHM) Society (2016)
Fellow of the Asia Pacific Society for Computers in Education (APSCE) (2020)
NASA 2011 Aeronautics Research Mission Directorate Technology and Innovation Group Award (with Xenofon Koutsoukos and Honeywell Research)
EDM 2023 Prof. Ramkumar Educational Data Mining Test of Time Award for the paper: 'A contextualized, differential sequence mining method to derive students’ learning behavior patterns'
Over 600 refereed publications
Research Experience
Conducts research in intelligent systems focusing on monitoring, control, and fault adaptivity of complex cyber-physical systems
Applies deep reinforcement learning, unsupervised/semi-supervised anomaly detection, and online risk/safety analysis to air and marine vehicles and smart buildings
Collaborated with Honeywell Technical Center and NASA Ames on aircraft diagnostic and prognostic systems
Develops intelligent open-ended learning environments for STEM+CS education, using learning analytics to link student behaviors to metacognitive and self-regulated learning strategies
Analyzes multimodal data from augmented reality training environments to study individual and team performance
Co-PI of the NSF AI Institute for Engaged Learning (ENGAGE AI)
Co-PI of the IES GenAI for STEM Education Center (GENIUS)
Research funded by the U.S. Army, Navy, NASA, NSF, DARPA, and Department of Education