About mE

Dr. Weijun Xie is a Professor in the Department of Data Science at City University of Hong Kong. His research interests are theory and applications of stochastic, discrete, and convex optimization. His work has received multiple awards, including the 2025 INFORMS Computing Prize (Honorable Mention), the 2022 New Investigator Award from the Virginia Space Grant Consortium (NASA), the 2021 NSF CAREER Award, and the 2020 INFORMS Young Researchers Paper Prize. He currently serves as Associate Editor of Operations Research, Mathematical Programming, Manufacturing & Service Operations Management, Journal of Global Optimization, and Naval Research Logistics.

Education

• • Ph.D. in Operations Research, Georgia Institute of Technology, May 2017

    • Thesis Title: Relaxations and Approximations of Chance Constrained Stochastic Programs

    • Advisor: Shabbir Ahmed

    • Minor: Computer Science

  • M.S. in Civil Engineering, University of Illinois Urbana-Champaign, August 2013

  • M.S. in Applied Mathematics, University of Illinois Urbana-Champaign, December 2012

  • B.S. in Civil Engineering, Tsinghua University, Beijing, July 2010

Employment

• • Professor, Department of Data Science, City University of Hong Kong, July 2026- present

  • Associate Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech, August 2025- June 2026

  • Assistant Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech, August 2022- August 2025

  • Assistant Professor, Grado Department of Industrial & Systems Engineering, Virginia Tech, August 2017-July 2022

Research Interests

• • Methodologies

    • Distributionally robust optimization

    • Stochastic programming

    • Approximation algorithms

    • Integer programming 

  • Applications

    • Artificial intelligence and machine learning 

    • Optimal experimental design

    • Logistics and network design problems under uncertainty

    • Stochastic/robust power system design

Other Relevant Profiles

Google Scholar, LinkedIn and ResearchGate