Ph.D. Students

For students seeking PhD admission to my group: 

My PhD students do serious math courses in real analysis, measure theoretic probability, nonlinear systems and statistical learning theory in the first year of the PhD program. The PhD student can enrol either in Electrical & Computer Engineering, or the Center for Applied Math or Mechanical & Aerospace Engineering. My current areas of interest include:

• Behavioral Economics, Statistical Signal Processing & Machine Learning- The human sensor interface: How does human decision making interface with signal processing algorithms? How to optimize sensing with human behavioral constraints? Stochastic Optimization, Partially Observed Markov Decision Processes (POMDPs), RL and Computational Game Theory
• Social Network Analytics and Sensing – Network Science with Reinforcement Learning: How to use social networks as a real time adaptive sensor? How to  model & control the dynamics of information flow in social networks?
• Adversarial Sensing and Inverse Reinforcement Learning: How should cognitive radars autonomously reconfigure their measurement modes based on their Bayesian estimates? How to calibrate your adversary’s sensors capabilities and intent? How to detect cognition? We use micro-economics and inverse re-inforcement learning

Current PhD Students. Check out our new lab website 

• Kunal Pattanayak (undergraduate/masters at IIT Kharagpur): Inverse Reinforcement Learning – graduated 2023.
• Shashwat Jain (did undergraduate/masters at IIT Kharagpur)
• Luke Snow (did undergraduate at Clemson Univ, NSF Fellowship)
• Adit Jain (did undergraduate at IIT Gawahati)

Alumni.

I have been fortunate to have worked with outstanding PhD students. You can download many of the PhD theses below.