معرفی
Pan Xu is an Assistant Professor in the Department of Computer Science at the New Jersey Institute of Technology (NJIT). His research focuses on computational theory, optimization, and fairness in algorithm design, with applications in online markets and resource allocation. He leads a federally funded project from the National Science Foundation (NSF) titled 'CRII: RI: Fairness and Profitability in Online Matching Markets,' exploring equitable solutions in dynamic allocation systems.
Key research interests include stochastic optimization, online algorithms, multi-armed bandits, and fairness-aware machine learning. Xu's work has been featured in venues like Journal of Artificial Intelligence Research, Operations Research, and ACM Transactions on Economics and Computation. Notable contributions address tradeoffs between system efficiency and equity in ride-hailing, gig economies, and healthcare (e.g., combatting vaccine inequity).
Media highlights include coverage of his NSF-funded research and contributions to AI conferences. His interdisciplinary approach bridges computer science, economics, and operations research, yielding 49 publications and over 900 citations. Projects often involve collaboration with industry and policy stakeholders to ensure real-world impact.
