Education

• B. Tech. in Electrical Engineering, Indian Institute of Technology, Bombay, 1977.
• M.S. in Computer Science, Michigan State University, E. Lansing, 1980.
• Ph.D. in Computer Science, Michigan State University, E. Lansing, 1983.

Research

• Modeling and Analysis of Complex Systems 
  (Model- and Data-driven methods for Diagnostics, Prognostics & Fault Tolerant Control)

• Open Ended Learning Environments
  (Betty's Brain SimSelf, CTSiM, C2STEM,
  Learner Modeling and Adaptivity, Synergistic STEM+C learning, Metacognition and Learning, Learning Analytics & Educational Data Mining)

• Full Publication List
  Google Scholar Citations

Teaching

• Advanced Machine Learning: CS 6362
• Modeling and Simulation: CS 3274 and 5274
• University Course: Data Science Methods for Smart City Applications: Univ 3360 & 5360
• New in Fall 2021: Special Topics: Reinforcement Learning: CS 3891 & CS 5891
• Intelligent Learning Environments: CS 6364

Awards

• NASA 2011 Aeronautics Research Mission Directorate Technology and Innovation Group Award for Vehicle Level Reasoning System (VLRS) -- jointly  with Honeywell Tech Center Researchers
  
  Vanderbilt Team Contributions: Data Mining approaches to Augment Diagnostics Reference Models
  
  
• Best Student Paper Award: 28th International Conference on Computers in Education (ICCE 2020), Virtual Conference: Using Log and Discourse Analysis to Improve Understanding of Collaborative Programming.
• Best Student Paper Award: 20th International Conference on Artificial Intelligence in Education (AIED 2019), Chicago, IL: Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum.
• Best Paper Award: 5th International Conference on Educational Data Mining, 2012 Chania, Greece: Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution.
• Best Paper Award: Annual Conference of the Prognostics and Health Management Society (PHM 2012), Minneapolis, MN: Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions.
• Best Student Paper Award: American Institute of Aeronautics and Astronautics, AIAA Infotech@Aerospace Conference 2012, Garden Grove, CA: Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors.
• Best Paper Award:Annual Conference of the Prognostics and Health Management Society(PHM 2011) Montreal, Canada: A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging.

Resume

• Complete Vita (.pdf file)

Personal

Office

Voice: (615) 343-6204

Fax: (615) 343-7440

Email: gautam.biswas AT vanderbilt.edu