His research focuses on the online decision-making in multi-agent systems, which arises in various applications in new mobility ecosystem (e.g., matching, incentives) and supply chain management (sourcing, pricing). Leveraging and integrating the state-of-the-art knowledge in reinforcement learning, mechanism design, and online optimization can push the boundaries of each field and solve the unsolved problems in real-world applications.
Qi will join the Department of Industrial Engineering at Clemson University in January, 2021.
Qi will be a visiting scholar working on emerging mobility systems in the Department of Civil and Environmental Engineering and the Department of Operations Research and Information Engineering at Cornell University in 2020.
Qi’s joint work with Prof. Zhibin Chen (NYU Shanghai), Prof. Yafeng Yin (CEE U-M), and Prof. Romesh Saigal is reported on U-M Engineering Research News in 2020.
Qi’s joint work with Zhiyuan Huang and Prof. Henry Lam titled “Dynamic Congestion Pricing for Ridesourcing Traffic: A Simulation-Based Approach.” won the Winter Simulation Conference I-Sim Ph.D. Colloquium Best Student Paper Award in 2019.
Hao Yuan’s work co-authored with Qi Luo and Prof. Cong Shi titled “Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs.” won the 2019 Applied Probability Society Best Student Paper competition, finalist.
Hao Yuan’s work co-authored with Qi Luo and Prof. Cong Shi titled “Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs.” won the Murty Prize for best paper on optimization in 2019.
Qi’s joint work with Xuechun Dou, Prof. Sharon Di (Columbia University), and Prof. Robert C. Hampshire on connecting bikesharing and ride-hailing was reported in Ford School’s News.
I am honored to be advised by:
Dr. Romesh Saigal. Professor, Industrial and Operations Engineering, University of Michigan.
Dr. Robert C. Hampshire. Associate Professor, Gerald R. Ford School of Public Policy, the Michigan Institute for Data Science, and Transportation Research Institute’s (UMTRI), University of Michigan.
He worked in Argonne National Laboratory before pursuing his Ph.D. degree. His recent graduate studies are supported by National Science Foundation CMMI, the Michigan Institute for Data Science, Mcity (U-M connected & automated vehicle research center), and Ford alliance research.