Uncertainty characterization, forecasting and information fusion in complex and data-driven systems
Randomization techniques, especially Markov chain Monte Carlo
Tensor methods for high dimensional and data driven applications, such as solving partial differential equations and data-association in multi-agent tracking
Chance constrained optimization and control
Current Applications: Space situational awareness, autonomous multi-agent collaborative mission planning and execution, wind forecasting