معرفی
Jie Xu is a Professor in the Department of Systems Engineering and Operations Research (SEOR) at George Mason University, with affiliations in the Department of Computer Science and Department of Statistics. His research focuses on algorithmic advancements in artificial intelligence, digital twin simulation, data science, stochastic optimization, and risk analytics, with applications in transportation, power systems, healthcare, and semiconductor manufacturing. He has led NSF-funded projects on bus fleet electrification, EV infrastructure, and human digital twin modeling. Previously, he served as President of the INFORMS Simulation Society (2022-2024) and as an Associate Editor for multiple journals.
- Education: PhD in Industrial Engineering (Northwestern University), MS in Computer Science (SUNY Buffalo), ME in Communications (Shanghai Jiao Tong University), BS in Electrical Engineering (Nanjing University).
Research interests include digital twin-based optimization, Bayesian optimization, Monte Carlo tree search, and reinforcement learning. He has developed methodologies for cloud computing, EV grid integration, and cyber-physical systems resilience. Recent work emphasizes real-time simulation learning and DDDAS for energy systems. His NSF grants include the $1.5M CREATE project for transit electrification and FDT-BioTech for neurophysiological modeling.
He teaches courses on stochastic simulation, predictive analytics, and optimization. Grants include funding from NSF, DOE, and ONR, totaling over $3M. Collaborations span universities, national labs, and industry partners.
