LUO Jun

Jun Luo is a professor in the Department of Management Science at Antai College of Economics & Management, Shanghai Jiao Tong University. His research interests include stochastic modeling, simulation optimization, and data analytics, with applications in service operations management, healthcare management, and supply chain management. He received his PhD from the Hong Kong University of Science and Technology and bachelor’s degree from Nanjing University. His work has been published in journals such as Operations Research, INFORMS Journal on Computing, IISE Transactions, and Naval Research Logistics. He is the principal investigator for several projects, including those related to simulation optimization and healthcare systems. Luo is also an active researcher and has contributed to the development of adaptive sequential procedures and sensitivity analysis in simulation-based decision-making.

Jun Luo is an expert in Operations Research, Stochastic Modeling, Simulation, Service Operations Management, and Risk Management. His research focuses on ranking and selection procedures, large-scale simulation optimization, and adaptive sequential methods for statistical inference. He has developed fully sequential procedures for parallel computing environments and explored variance reduction techniques in selection algorithms. Luo's work also addresses credit assignment in multi-agent systems and dynamic pricing with unknown demand. Additionally, he has investigated healthcare service sharing, portfolio credit risk estimation, and capacity planning during the pandemic. His research emphasizes statistical validity, computational efficiency, and practical applications in complex systems.