HUA Cheng

HUA Cheng is an Associate Professor in the Department of Management Science at Antai College of Economics & Management, Shanghai Jiao Tong University. His research focuses on Management Science, with particular emphasis on data-driven decision making, sequential decision making, and artificial intelligence. Hua holds a Ph.D. in Operations Research from Yale School of Management and has contributed to various academic journals and conferences. His work includes publications in top-tier journals such as Management Science and Manufacturing & Service Operations Management. He is also recognized for his teaching excellence, having received multiple awards for his courses and mentorship of students.

Cheng Hua is a researcher specializing in Data-Driven Decision Making, Sequential Decision Making, AI, and Service Operations. His work focuses on integrating artificial intelligence with operational challenges to enhance decision-making processes in dynamic environments. He has published extensively on topics such as reinforcement learning for emergency service systems, stochastic regret minimization in revenue management, and the development of interpretable AI systems. His research also explores the application of machine learning in healthcare, including predictive models for colorectal cancer diagnosis and the optimization of emergency medical services. Cheng's contributions highlight the intersection of AI and operations research to address real-world problems with data-driven approaches.