Research
My goal is to develop new rigorous mathematical tools and algorithms to address challenging problems in Safe Decision-Making and Reasoning, Planning and Control, Estimation and Inference, Optimization, AI, and Autonomy Under Uncertainty.
Research Interests:
Probability and Measure Theory; Stochastic Processes and Systems; Non-Gaussian and Nonlinear Stochastic Systems; Statistical Decision Theory; Probabilistic and Robust Optimization under Uncertainty; Bayesian Inference and Learning; Causal Inference and Reasoning; Uncertainty Quantification; Nonlinear and Non-Gaussian Estimation; Partially Observable Markov Decision Process; Decision-Making and Reasoning under Uncertainty; Risk-Aware Autonomy under Uncertainty; Statistical Learning Theory; Risk-Aware and Safe AI; Generative Modeling; Deep Learning; Machine Learning; Mathematical Foundations of AI.
