معرفی
Robert Hampshire is an Associate Professor at the University of Michigan, holding dual appointments in the Gerald R. Ford School of Public Policy and the Department of Industrial and Operations Engineering within the College of Engineering. His research focuses on applying operations research, data science, and systems analysis to public and private service industries, with a particular emphasis on emerging mobility systems and networked industries. Key areas include smart parking, autonomous vehicles, ride-hailing, bike-sharing, and equitable transportation policy.
His work combines queueing theory, stochastic modeling, and dynamic optimization to address real-world challenges such as congestion reduction, resource allocation, and policy design. He collaborates with both public sector entities and private companies to ensure practical impact. Notable contributions include analyzing parking search behavior, optimizing on-demand transportation networks, and evaluating equitable access to mobility services.
Dr. Hampshire has received grants such as the NSF CAREER Award (2014) for research on smart mobility services and has contributed to scalable risk assessment methods for pedestrians and bicyclists. His research methodologies span data integration, machine learning, and mathematical modeling, with applications in economics, engineering, and social science domains.
His advisory and grant work includes collaborations on teleoperation systems for autonomous vehicles, parking pricing experiments in San Francisco, and analyzing the re-entry of ride-sourcing services in Austin, Texas. He leads initiatives to bridge academic research with industrial and governmental partners, emphasizing reproducibility and rigor in data-driven decision-making.
