Major Phillip R. Jenkins, Adjunct Assistant Professor of Operations Research
Research Interests
My basic research interests include both theoretical and applied contributions to operations research and artificial intelligence techniques for solving computational stochastic optimization problems. More specifically, I am interested in the design, development, and testing of approximate dynamic programming (i.e., reinforcement learning) algorithms to solve large-scale sequential decision-making problems under uncertainty. Additional areas of interest include the advancement of adversarial artificial intelligence and explainable artificial intelligence techniques. My applied research interests involve problems related to military defense, to include the location, allocation, and dispatch of medical evacuation assets in a deployed environment.