
Professor, Department of Systems Engineering and Operations Research
Contact Information
Building: Nguyen Engineering Building
Room 2218
Mail Stop: 4A6
Phone: 703-993-4620
Personal Websites
In the News
Biography
Jie Xu’s research focuses on algorithmic research in the fields of artificial intelligence, digital twin simulation, data science, stochastic optimization, and risk analytics. Of specific interests are digital twin simulation-based optimization, Bayesian optimization, Monte Carlo tree search, optimal learning, and reinforcement learning. His applications research focuses on air transportation, electric vehicle grid integration, human digital twin, power systems, semiconductor manufacturing, and transportation electrification, with a focus on resource allocation, system resilience, and testing. He was the President of INFORMS Simulation Society from July 2022 to June 2024. He currently serves as an Associate Editor for IISE Transactions, ACM Transactions on Modeling and Computer Simulation, Journal of Simulation, and Asia-Pacific Journal of Operational Research.
Before joining George Mason, Xu was a senior analyst in finance operations research with United Airlines. He worked on the research and development of revenue management, the airline’s loyalty program, and market demand forecasting. He also worked as a summer intern at IBM T.J. Watson Research Center on risk management for new product development portfolio investments and supply chain optimization at the IBM China Research Lab.
Research
2024 - 2028: SCC-IRG Track 1: Community-Responsive Electrified and Adaptive Transit Ecosystem (CREATE): Planning, Operations, and Management. Funded by National Science Foundation.
2025 - 2027: Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification. Funded by National Science Foundation.
2022 - 2027: Artificial Intelligence and Advanced Analytics to Estimate Collision Risk during Departure and Arrival, Funded by University of Maryland/Federal Aviation Administration
Research Interests
Air Transportation, Artificial Intelligence, Cyber-physical Systems, Data Centers, Digital Twin, Manufacturing Management, Optimization, Power Systems, Simulation
Degrees
- PhD, Industrial Engineering and Management Science, Northwestern University
- MS, Computer Science, State University of New York
- ME, Communications and Information Systems, Shanghai Jiaotong University
- BS, Electronics & Information Systems, Nanjing University