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Y.H. Kuo

Associate Professor
Email:

[javascript protected email address]

Tel:

3917 7056

Office:

HW 8-8

Biography

Professor 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.

Professor 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 CouncilHealth and Medical Research FundSmart Traffic FundInnovation and Technology FundMTR Research FundMicrosoft 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, on the Editorial Boards of Decision Sciences and Transportation Research Part E, and as Managing Guest Editor for several academic journals.

Professor 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.

Personal website: https://sites.google.com/site/yonghongkuo/


​Research Interests

  • Discrete optimization
  • Data-intensive modeling and optimization techniques
  • Systems simulation
  • Logistics and transportation planning
  • Healthcare service delivery
  • Data analytics in virtual environments (e.g., XR)

Courses

  • IMSE3136 Operations Planning and Control
  • IMSE4136 Transportation and Distribution Planning
  • CCHU9056 Virtual Worlds, Real Bodies
  • ENGG1320 Engineers in the Modern World

Selected Publications

* indicates the corresponding author

Operations Research / Management

Transportation and Logistics

Healthcare Management and Informatics