The goal of the proposed research project is to develop innovative mathematical models for control of stochastic systems under partial information. The problems that will be studied have wide applicability, ranging from production and supply chain management, design and control of service systems, resource allocation under incomplete information, etc. The methodologies that will be used come from a variety of areas, namely Stochastic Operations Research and in particular Markov Decision Processes, Inventory Theory and Queueing Theory, Game Theory, and Probability and Statistics. The proposed research aspires to promote interdisciplinary collaboration in the area of Stochastic Optimization, by forming a research group whose members are faculty in mathematics and engineering in two universities.
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