Yong-Hong Kuo is Associate Professor in the Department of Data and Systems Engineering at the University of Hong Kong. He earned his B.Sc. in Mathematics and M.Phil. and Ph.D. in Systems Engineering and Engineering Management from the Chinese University of Hong Kong. Prior to joining HKU, he was Research Assistant Professor at the Stanley Ho Big Data Decision Analytics Research Centre at the Chinese University of Hong Kong. He has also held visiting positions at institutes, including Oak Ridge National Laboratory, University of California at Berkeley, and University of Modena and Reggio Emilia.

Dr. Kuo's current research focus is on the integration of systems modeling, discrete optimization, and data engineering for solving decision-making problems in service systems, particularly in logistics, transportation, and healthcare services. He is interested in modeling problems, devising solution procedures, and using these tools to improve operations, help system design, and derive managerial insights. His research, in 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, Smart Traffic Fund, Innovation and Technology Fund, MTR Research Fund, Microsoft Research Asia, and Macao Science and Technology Development Fund, with a total amount of funding over HKD 30 million, for theoretical investigation, actual implementation, and policy implications. He has served the Operational Research Society of Hong Kong as President (2023 - 2024), the Association of Asia-Pacific Operational Research Societies as Vice President, IEEE Transactions on Engineering Management as Department Editor, and Decision Sciences and Transportation Research Part E as Editorial Board Member.

Dr. Kuo has actively promoted mathematical modeling and other related STEM subjects through the delivery of lectures and workshops to schools, organizations, and companies in the region. Recently, he has investigated the use of data science tools in virtual environments (such as extended reality and simulation) for educational and occupational training purposes in the industry.