Dr. Matthew J. Robbins, Associate Professor of Operations Research
Research Interests
My basic research interests involve the modeling and analysis of stochastic systems. In particular, I am interested in the design, evaluation, and control of systems that evolve stochastically over time. My research focuses on computational stochastic optimization – the design, development, and testing of approximate dynamic programming and reinforcement learning algorithms that utilize simulation, mathematical programming, and machine learning techniques to solve large-scale sequential decision-making problems under uncertainty. My applied research interests involve problems related to defense, to include the dispatch of medical evacuation assets, the routing of military distribution assets, and the battle management of mobile, autonomous systems. Problems within the general area of public health are also of interest: vaccine economics and transportation regulatory policy.