Qi will join the Department of Industrial Engineering at Clemson University as an Assistant Professor in January, 2021. He is actively looking for Ph.D. students with sound backgrounds in mathematical modeling and data analytics.
His research focuses on online decision-making in multi-agent systems, which arises in various applications in the new mobility ecosystem and supply chain management. Integrating knowledge in reinforcement learning, mechanism design, and online optimization can push the boundaries of each field and solve the unsolved problems.
Qi is in an organizing committee for Emerging Mobility Systems and Services Seminar Series, a prestigious research seminar for advanced transportation studies. The weekly seminar is free to register.
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.