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Education

  • 2018 - ONGOING
    Ph.D. in Industrial and Operations Engineering
    University of Michigan, Ann Arbor
    • Advised by Dr. Ruiwei Jiang
    • Theories: Stochastic Optimization and Integer Programming.
    • Applications: Power and Transportation Systems.
  • 2021 - 2023
    M.S. in Mathematics
    University of Michigan, Ann Arbor
  • 2018
    M.S. in Electrical and Computer Engineering
    University of Michigan, Ann Arbor
    • Specialized in Signal Processing and Machine Learning.
  • 2016
    B.E. in Electrical Engineering
    Xi'an Jiaotong University

Research Projects

  • 2020-2021
    A Data-Driven Approach towards Strategic Planning of Charging Stations
    • Developed a data-driven distributionally robust chance-constrained model for the strategic planning of charging stations for battery electric buses (BEBs), where the uncertainty in energy consumption and dwell time of BEBs are explicitly considered.
  • 2018-2019
    Projection Cuts for Two-Stage Stochastic Mixed-Integer Programs
    • Proposed a new type of valid inequality, called projection cuts, for Benders decomposition to significantly reduce the Benders feasibility cuts and accelerate computation.

Honors and Awards

  • 2022
    • Honorable mention in the 2022 INFORMS Optimization Society’s Student Paper Prize.