معرفی
J. G. Jim Dai is the Leon C. Welch Professor of Engineering at Cornell University's School of Operations Research and Information Engineering. He specializes in applied probability, resource allocation in processing networks, and operations optimization for healthcare systems and service industries. His research includes fluid and diffusion models, stochastic processes, and reinforcement learning. He co-authored Processing Networks: Fluid Models and Stability (2020) and has advised over 20 PhD students. Dai chairs the ACM SIGMETRICS Achievement Award committee and serves as a trustee for the Applied Probability Trust, overseeing journals like Journal of Applied Probability. His work addresses challenges in semiconductor fabrication, data centers, and hospital inpatient operations. Recent research focuses on reinforcement learning applications in healthcare and ridesharing systems.
- Education: Ph.D. in Industrial Engineering (Georgia Tech, 1994)
Research interests span applied probability with an emphasis on fluid models, diffusion approximations, and stochastic networks. He applies these methods to optimize systems like customer contact centers, hospital operations, and ridesharing networks. Recent publications include advancements in diffusion approximations and steady-state analysis of queueing networks.
His former students hold academic and industry positions globally, including at Northwestern University, Duke University, and Meta. Dai organized the 2022 Stochastic Network Conference at Cornell and will co-chair the 2024 edition in Sweden.
