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Zhang, Rui

Associate Professor

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Research

research overview

  • His research interests are quantitative methods, especially prescriptive analytics techniques. His work focuses on developing novel methods for revenue management problems and influence maximization problems on social networks. Other than that, he also works on new operation modes for last-mile delivery problems. His work has been published in Operations Research, MSOM, INFORMS Journal on Computing, INFORMS Journal on Optimization, Naval Research Logistics, European Journal of Operational Research, Networks, and Computers & Operations Research, among others. A collection of his work was selected as the runner-up for the 2022 INFORMS Computing Society (ICS) Prize.

keywords

  • approximate dynamic programming, reinforcement learning, optimization problems, social networks, logistics, pricing, integer programming revenue management, network optimization

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