Research

My background is in probability theory, analysis of stochastic processes, and the underlying mathematics: in short, the study of randomness. Most of my work over the past few years is focused on computer vision, machine learning, and neural networks.

In the past, my work was mostly in stochastic analysis, random walks, renewal theory, stochastic game theory, stochastic measure theory, and particularly the application of discrete and continuous operational calculus to interesting functionals of stochastic processes. I continue secondary research in these areas.

For more details, see my pages on current work and research opportunities, my NEural TransmissionS (NETS) Research Lab, and publications and presentations.