Changhyun Kwon is an Associate Professor in Industrial and Systems Engineering at KAIST. His research aims to advance computational optimization methods for efficient transportation and logistics systems. His current focus is to improve the efficiency of heuristic and exact algorithms using machine-learning approaches to solve large-scale vehicle routing problems and mobility service operations problems. He received a Ph.D. in Industrial Engineering in 2008 from Penn State and a B.S. in Mechanical Engineering from KAIST in 2000. His research has been published in Operations Research, Transportation Science, Transportation Research Part B, INFORMS Journal on Computing, etc. Before joining KAIST, he was a faculty member at the University at Buffalo and the University of South Florida. Currently, he is on the Editorial Boards of Transportation Research Part B: Methodological, Socio-Economic Planning Sciences, and the Transportation Network Modeling Committee of TRB. He was the Chair of the Urban Transportation SIG of the INFORMS TSL Society and is the current International Liaison for Asia/Oceania. He wrote the book "Julia Programming for Operations Research," and he is a member of the JuMP steering committee, an open-source community for developing mathematical optimization tools in Julia. He received the NSF CAREER award in 2014, and his research has been funded by the National Science Foundation, the U.S. Department of Transportation, and the National Research Foundation of Korea.

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