• Assistant Professor, Engineering Technology & Industrial Distribution and Industrial & Systems Engineering,
  • Industrial Distribution
Yanling Chang

Educational Background

  • Ph.D., Operations Research, Georgia Institute of Technology – 2015
  • M.S., Mathematics, Georgia Institute of Technology – 2014
  • B.S., Electronic and Information Science and Technology, Peking University

Research Interests

      • Supply chain management, military and security
      • Structural estimation and optimization
      • Partially observable Markov decision processes, Markov games, and game theory
      • Dynamic discrete choice analysis

Awards & Honors

  • NSF CAREER Award 2023
  • Best paper award in the 2022 IISE Transactions (Scheduling and Logistics)
  • Scialog MZT travel fellowship, 2021
  • Scialog Fellow: Mitigating Zoonotic Threats, 2021
  • A top cited article published in 2020 of the Internal Journal of Production Research
  • Faculty Excellence Award in Research, ETID, Texas A&M University, 2018
  • Corrie and Jim Furber '64 Faculty Fellow, 2018

Selected Publications

  • Yanling Chang, Alfredo Garcia, Zhide Wang*, Lu Sun* (2023) Structural Estimation of Partially Observable Markov Decision Processes. IEEE Transactions on Automatic Control. Accepted, in press, doi: 10.1109/TAC.2022.3217908.
  • Zhide Wang*, Yanling Chang, Brandon Schmeichel, and Alfredo Garcia. The effects of mental fatigue on effort allocation: Modeling and estimation. Psychological Review, 129(6), 1457-1485, 2022.
  • Yanling Chang, Matthew F. Keblis, Ran Li, Eleftherios Iakovou, Chelsea C. White III (2022) Misinformation and Disinformation in Modern Warfare. Operations Research, 70(3), 1577-1597.
  • Yanling Chang and Chelsea C. White III (2022) Worst-Case Analysis for a Leader-follower Partially Observable Stochastic Game. IISE Transactions. 54(4), 376-389.
  • Yanling Chang, Lu Sun*, Matthew F. Keblis, Jie Yang* (2021) Auction in Staffing for Self-scheduling Services. IISE Transactions, 53(6), 719-734. Award: IISE Transactions 2022 Scheduling & Logistics Best Paper.