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Faculty Profile

Xiaoquan GAO's photo

Xiaoquan GAO

Assistant Professor of Operations Management

LKCSBFull-time Faculty
Email
xiaoquangao@smu.edu.sg
Phone
68280963
Curriculum Vitae (CV)

Research Areas

▸
  • Lee Kong Chian School of Business
    • Operations Management
      • Business Analytics
      • Product, Process and Service Design and Improvement
      • Healthcare Analytics and Operations
      • Operations Planning, Scheduling and Control
      • Inventory, Logistics and Transportation Management
    • Social Inclusion
    • Strategy and Entrepreneurship
      • Sustainable and socially responsible strategy

Education

2019 - 2024

Ph.D. in Industrial Engineering
Purdue University

2015 - 2019

B.S. in Theoretical and Applied Mechanics
Peking University

Current Position(s) Held

2025 - Now

Assistant Professor of Operations Management
Lee Kong Chian School of Business, Singapore Management University

Awards, Recognition and Honors

  • Gayle and Frank Johnston Scholarship, Regenstrief Center for Healthcare Engineering 2024
  • Winner, Decision Analysis Society Student Paper Award, INFORMS 2023
  • First place, Service Science IBM Best Student Paper Award, INFORMS 2023
  • First place, Outstanding Innovation in Service Systems Engineering Award, IISE 2023
  • Purdue Graduate Student Government Travel Grant, Purdue University 2023
  • Bilsland Dissertation Fellowship, Department of Industrial Engineering, Purdue University 2023
  • Future Faculty Fellow, IISE 2022
  • A. H. Ismail Interdisciplinary Program Doctoral Research Travel Award, Purdue University 2022

Research Interests

  • Methodology: Data analytics, stochastic modeling, reinforcement learning
  • Application: Data-driven socially responsible operations, focusing on healthcare and criminal justice

Selected Journal Articles (Refereed)

  • Xiaoquan Gao, Nan Kong, and Paul Griffin. "Shortening emergency medical response time with joint operations of UAVs with ambulances." Manufacturing & Service Operations Management 26.2 (2023): 447-464.
  • Xiaoquan Gao, Sabriya Alam, Pengyi Shi, Franklin Dexter, and Nan Kong. "Interpretable machine learning models to predict hospital patient readmission." BMC Medical Informatics and Decision Making 23.1 (2023): 1-11.
  • Xiaoquan Gao, Jianpei Wen, and Jie Song. "Capacity allocation and revenue sharing in healthcare alliances." Flexible Services and Manufacturing Journal 32.4 (2020): 829-851.

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