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Applications: Energy Research, Healthcare Management and Outcomes, Management Science, Networks, Operations Research, Transportation Research Methodologies: Algorithms, Decision Science, Dynamical Models, Graph Theory and Graph-based Methods, Mathematics, Optimization, Spatio-Temporal Data Analysis Relevant Projects:
  •  NSF
  • DoE
  • DoD
  • Industry

Siqian Shen

Associate Professor, Industrial and Operations Engineering

Siqian Shen is an Associate Professor of Industrial and Operations Engineering at the University of Michigan and also serves as an Associate Director in the Michigan Institute for Computational Discovery & Engineering (MICDE). Her theoretical research interests are in integer programming, stochastic/robust optimization, and network optimization. Applications include optimization and risk analysis of energy, healthcare, cloud-computing, and transportation systems. Her work has been supported by the National Science Foundation, Army Research Office, Department of Energy, and industrial funds. Her work has appeared in journals such as Management ScienceOperations ResearchMathematical ProgrammingManufacturing and Service Operations ManagementINFORMS Journal on ComputingTransportation Research Part BIEEE Transactions on Power Systems, and others. She is the recipient of the INFORMS Computing Society Best Student Paper award (runner-up), IIE Pritsker Doctoral Dissertation Award (1st Place), IBM Smarter Planet Innovation Faculty Award, and Department of Energy (DoE) Early Career Award.