Liu Hanlin

Liu Hanlin is an Assistant Professor at the School of Business, Southern University of Science and Technology (SUSTech), appointed in 2020. He also serves as a Doctoral Supervisor. His previous position was as a Postdoctoral Researcher at the University of Minnesota (2018-2020). Dr. Liu holds a Ph.D. in Systems Engineering and Engineering Management from City University of Hong Kong (2018) and a B.S. in Mathematics from the University of Science and Technology of China (2014).

His educational background:

• Ph.D., Systems Engineering and Engineering Management, City University of Hong Kong, 2014-2018
• B.S., Mathematics (Special Class for the Gifted Young), University of Science and Technology of China, 2010-2014

Dr. Liu's research centers on Operations Management and Operations Research, with core interests in:

• Cooperative Game Theory and its applications
• Service and Queueing Systems
• Sharing Economy

He applies advanced mathematical models to address challenges in service operations, healthcare, and sharing platforms, aiming to design efficient and incentive-compatible systems.

In 2022, Dr. Liu published three articles in premier journals including Management Science and Manufacturing & Service Operations Management. His work explores cooperative game theory for service operations, cost-sharing mechanisms, and vehicle sharing system design, highlighting a consistent focus on optimization and game-theoretic solutions for real-world operational problems.

Dr. Liu has not been listed with any specific scientific awards in the provided information.

As a Doctoral Supervisor, Dr. Liu mentors doctoral students and recruits research assistants and postdocs. His research group seeks candidates with strong mathematical foundations in quantitative fields. While specific grants are not detailed, his publications in top journals suggest active research funding.

Dr. Liu leads a research group that collaborates internationally, as seen in co-authorships with researchers from the University of Minnesota and other institutions. The group focuses on advancing operations research methodologies for emerging challenges in the sharing economy and service sectors.