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Dr KUO, Yong-Hong 

Assistant Professor
Department of Industrial and Manufacturing Systems Engineering
The University of Hong Kong (852) 3917 7056
 IMSE, 8/F, Haking Wong Building, Pokfulam Road

About Me

Dr. Yong-Hong Kuo is Assistant Professor in the Department of Industrial and Manufacturing Systems Engineering, the University of Hong Kong. He earned his B.Sc. in Mathematics, with a minor in Risk Management Science, and M.Phil. and Ph.D. in Systems Engineering and Engineering Management, from the Chinese University of Hong Kong. During the period, he also worked at the University of California at Berkeley as Visiting Researcher and Oak Ridge National Laboratory as Visiting Student. Prior to joining HKU, he was Research Assistant Professor at Stanley Ho Big Data Decision Analytics Research Centre, the Chinese University of Hong Kong.

Dr. Kuo’s current research focus is on the integration of systems modelling, discrete optimization, and data analytics for solving decision-making problems in service systems, where most of his applications are in the domains of logistics and transportation services and healthcare service delivery. He is interested in modelling problems, devising solution procedures, and using these tools to improve operations, help system design, and derive managerial insights. His research, with his role as Principal Investigator, has been supported by a number of funding agencies, including Hong Kong Research Grants Council, Health and Medical Research Fund, Microsoft Research Asia, and Macao Science and Technology Development Fund. His solution methodologies and applications have been published in top journals in various fields, including industrial engineering, operations management, transportation, and healthcare informatics. He has served on the Editorial Advisory/Review Boards of Decision Sciences Journal and Transportation Research Part E, and as Managing Guest Editor for several academic journals. 

Research Interests
Discrete optimization; Data-intensive modeling and optimization techniques; Systems simulation; Logistics and transportation planning; Healthcare service delivery