Research Areas
Operations Research & Optimization
Research interests of the group include probabilistic modeling, simulation and optimization from a methodological standpoint, and the majority of the current and previous work involves applying these techniques to solve problems in healthcare delivery, biomedical systems, and health economics. Other areas include applying machine learning and optimization techniques to problems in finance, airport operations, manufacturing automation, etc. Members of the group also work on Mixed-integer nonlinear (and linear) programming, Parallel computing, Derivative-free optimization, Algorithmic game theory, Optimization, Learning and Control, Sequential Decision Making, Industry 4.0, Markov Decision Processes and Reinforcement Learning, Manufacturing process optimization, System Identification, Data-driven and Predictive Control.