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.
EDUCATION
Ph.D., Systems Engineering & Engineering Management, the Chinese University of Hong Kong. 2013
M.Phil., Systems Engineering & Engineering Management, the Chinese University of Hong Kong. 2010
B.Sc. (Hons), Mathematics (minor in Risk Management Science), the Chinese University of Hong Kong. 2008
RESEARCH, TEACHING, or OTHER INTERESTS
Decision Sciences, Management Science and Operations Research, Transportation, Health Informatics
ODAN: An Object-Driven AR Narrative Framework Sun Yusi, Haoyan Guan, Leith K.Y. Chan, Herim Park, Yong-Hong Kuo Proceedings 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops Vrw 2026, 2026
Explainable Used Car Pricing: A Machine Learning Framework With Analysis of Marginal Effects Qihao Wu, Ting Fung Ma, Yong-Hong Kuo, Chun Yip Yau, Terrance Cheung IEEE Transactions on Engineering Management, 2026 Used car pricing is always complex and involves various factors. It is difficult for consumers to obtain full transparency into used car pricing, which sellers often obscure to protect margins. Even if the pricing model for one specific used car can be established, the wide variety of used cars and features further complicates the problem. Motivated by a real-world application in insurance premium pricing for used cars, our study presents a transparently explainable solution to predict various used car prices with elaborate feature engineering. We propose a novel three-phase approach, with each phase dedicated to prediction models, explainable machine learning, and the examination of marginal effects of binary variables. We conduct a comparative analysis to assess the performance of different predicting models with real-world data for robustness. The consistent results suggest that ensemble tree algorithms perform the best, with a mean absolute percentage error of 0.269 (out-of-sample), compared with 0.957 from the linear benchmark. The performance of deep neural networks with numerical features is salient when dealing with more homogeneous and specific data. By examining the individual feature attributes, the car's age, make (i.e., brand), and engine capacity are the top three determinants of the price with strong monotonicity. Finally, the marginal effects of significant binary variables and their interactions on prices are quantified. Our analysis reveals the non-linearity and complexity in effect sizes. The proposed three-phase approach provides a transparent and reliable pricing pipeline for the used car market and can essentially assist stakeholders in making decisions.
Operations & supply chain management: principles and practice Fotios Petropoulos, Henk Akkermans, O. Zeynep Aksin, Imran Ali, Mohamed Zied Babai, Ana Barbosa-Povoa, Olga Battaïa, Maria Besiou, Nils Boysen, Stephen Brammer, Alistair Brandon-Jones, Dirk Briskorn, Tyson R. Browning, Paul Buijs, Piera Centobelli, Andrea Chiarini, Paul Cousins, Elizabeth A. Cudney, Andrew Davies, Steven J. Day, René de Koster, Rommert Dekker, Juliano Denicol, Mélanie Despeisse, Stephen M. Disney, Alexandre Dolgui, Linh Duong, Malek El-Qallali, Behnam Fahimnia, Fatemeh Fakhredin, Stanley B. Gershwin, Salar Ghamat, Vaggelis Giannikas, Christoph H. Glock, Janet Godsell, Kannan Govindan, Claire Hannibal, Anders Haug, Tomislav Hernaus, Juliana Hsuan, Dmitry Ivanov, Marianne Jahre, Björn Johansson, Madan Shankar Kalidoss, Argyris Kanellopoulos, Devika Kannan, Elif Karul, Konstantinos V. Katsikopoulos, Ayse Begüm Kilic-Ararat, Rainer Kolisch, Maximilian Koppenberg, Maneesh Kumar, Yong-Hong Kuo, Andrew Kusiak, Michael A. Lewis, Stanley Frederick W. T. Lim, Veronique Limère, Jiyin Liu, Omid Maghazei, Matija Marić, Joern Meissner, Miranda Meuwissen, Pietro Micheli, Samudaya Nanayakkara, Bengü Nur Özdemir, Thanos Papadopoulos, Stephen Pavelin, Srinath Perera, Wendy Phillips, Dennis Prak, Hubert Pun, Sharfah Ahmad Qazi, Usha Ramanathan, Gerald Reiner, Ewout Reitsma, Jens K. Roehrich, Nada R. Sanders, Joseph Sarkis, Nico André Schmid, Christoph G. Schmidt, Andreas Schroeder, Kostas Selviaridis, Stefan Seuring, Chuan Shi, Byung-Gak Son, Martin Spring, Brian Squire, Wendy van der Valk, Dirk Pieter van Donk, Geert-Jan van Houtum, Miriam Wilhelm, Finn Wynstra, Ting Zheng International Journal of Production Research, 2026 Operations and Supply Chain Management (OSCM) has continually evolved, incorporating a broad array of strategies, frameworks, and technologies to address complex challenges across industries. This encyclopedic article provides a comprehensive overview of contemporary strategies, tools, methods, principles, and best practices that define the field's cutting-edge advancements. It also explores the diverse environments where OSCM principles have been effectively implemented. The article is meant to be read in a nonlinear fashion. It should be used as a point of reference or first-port-of-call for a diverse pool of readers: academics, researchers, students, and practitioners.
A coordination mechanism between the emergency department and inpatient unit to mitigate hospital crowding Jie Wang, Mengchuan Zou, Yong‐Hong Kuo, Zuo‐Jun Max Shen, Colin A. Graham Decision Sciences, 2025 Emergency department (ED) crowding is a typical problem in hospitals across many countries, leading to numerous grievous consequences. One of the major causes of ED crowding is ED boarding, which refers to cases in which patients are delayed being admitted to inpatient wards (IW) due to bed shortages. Our research is motivated by the recent developments in hospital information systems and the introduction of a new operational unit to hospital management, known as the capacity command center or coordination center. This unit is tasked with monitoring real‐time performance metrics across different hospital units and recommending operational actions. Enabled by this advancement in hospital information systems, our research considers a patient streaming strategy and proposes a coordination mechanism between ED and IW. With our proposed system visibility, both the system status and information about the operations are shared between the two units. To capture the dynamic updates of individual patient statuses, mixed‐integer linear programming models are developed. Our proposed methodology is shown to be effective in improving computational efficiency. Coordination effects are evaluated with numerical experiments. Our results suggest that the coordination mechanism can improve the efficiency of both units significantly in terms of patient waiting time, boarding time, and length of stay. Lastly, we extend it to more complex scenarios and find that the coordination mechanism continues to perform well when treatment time is uncertain and dependent on patient's type and physician's workload, and streaming accuracy varies. The impacts of various factors are also investigated to derive managerial insights.
A COMPUTER VISION-BASED APPROACH FOR ESTIMATION OF ANNUAL AVERAGE DAILY BICYCLE TRAFFIC AND ACCIDENT ANALYSIS Proceedings of the 29th International Conference of Hong Kong Society for Transportation Studies Hksts 2025 Smart Mobility, 2025
AN INTEGRATED APPROACH OF RGB AND THERMAL IMAGING WITH DEEP LEARNING FOR OBJECT DETECTION AND CLASSIFICATION ON BIKE LANES Proceedings of the 29th International Conference of Hong Kong Society for Transportation Studies Hksts 2025 Smart Mobility, 2025
Operational Research: methods and applications Fotios Petropoulos, Gilbert Laporte, Emel Aktas, Sibel A. Alumur, Claudia Archetti, Hayriye Ayhan, Maria Battarra, Julia A. Bennell, Jean-Marie Bourjolly, John E. Boylan, Michèle Breton, David Canca, Laurent Charlin, Bo Chen, Cihan Tugrul Cicek, Louis Anthony Cox, Christine S.M. Currie, Erik Demeulemeester, Li Ding, Stephen M. Disney, Matthias Ehrgott, Martin J. Eppler, Güneş Erdoğan, Bernard Fortz, L. Alberto Franco, Jens Frische, Salvatore Greco, Amanda J. Gregory, Raimo P. Hämäläinen, Willy Herroelen, Mike Hewitt, Jan Holmström, John N. Hooker, Tuğçe Işık, Jill Johnes, Bahar Y. Kara, Özlem Karsu, Katherine Kent, Charlotte Köhler, Martin Kunc, Yong-Hong Kuo, Adam N. Letchford, Janny Leung, Dong Li, Haitao Li, Judit Lienert, Ivana Ljubić, Andrea Lodi, Sebastián Lozano, Virginie Lurkin, Silvano Martello, Ian G. McHale, Gerald Midgley, John D.W. Morecroft, Akshay Mutha, Ceyda Oğuz, Sanja Petrovic, Ulrich Pferschy, Harilaos N. Psaraftis, Sam Rose, Lauri Saarinen, Said Salhi, Jing-Sheng Song, Dimitrios Sotiros, Kathryn E. Stecke, Arne K. Strauss, İstenç Tarhan, Clemens Thielen, Paolo Toth, Tom Van Woensel, Greet Vanden Berghe, Christos Vasilakis, Vikrant Vaze, Daniele Vigo, Kai Virtanen, Xun Wang, Rafał Weron, Leroy White, Mike Yearworth, E. Alper Yıldırım, Georges Zaccour, Xuying Zhao Journal of the Operational Research Society, 2024
Integrated approach of data analytics, simulation, and system optimisation to evaluate emergency department performance in Hong Kong: abridged secondary publication Hong Kong Medical Journal, 2023
Dynamic demand-driven bike station clustering Yi-Jia Wang, Yong-Hong Kuo, George Q. Huang, Weihua Gu, Yaohua Hu Transportation Research Part E Logistics and Transportation Review, 2022
Data visualization on global trends on cancer incidence an application of IBM Watson analytics Proceedings of the Annual Hawaii International Conference on System Sciences, 2017
3-party loan contract based purchase-order financing Yan Chen, Jinjin Zhang, Yajia Yang, Xin Li, Yong Hong Kuo Proceedings 2014 7th International Joint Conference on Computational Sciences and Optimization Cso 2014, 2014
ODAN: An Object-Driven AR Narrative Framework S Yusi, H Guan, LKY Chan, H Park, YH Kuo 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and … , 2026 2026
Route optimisation of truck-and-drone systems for multi-type rescue tasks: a heuristic approach W Sun, F Zhang, L Wu, YH Kuo Transportmetrica A: Transport Science, 1-32 , 2026 2026
Enabling data-driven human digital twin (HDT) reconstruction with computer vision and sensor-based positional data PH Chan, TZ Lian, ZX He, YZ Zou, YZ Meng, YH Kuo IET International Conference on Digital Twins and Applications (DTA APAC … , 2026 2026
Operations & supply chain management: principles and practice F Petropoulos, H Akkermans, OZ Aksin, I Ali, MZ Babai, A Barbosa-Povoa, ... International journal of production research 64 (1), 330-513 , 2026 2026 Citations: 44
Explainable Used Car Pricing: A Machine Learning Framework With Analysis of Marginal Effects Q Wu, TF Ma, YH Kuo, CY Yau, T Cheung IEEE Transactions on Engineering Management 73, 305-321 , 2025 2025 Citations: 1
Using scenario-based planning approaches to solve scheduling problems in healthcare A Kramer, TA de Queiroz, M Lori, YH Kuo HCERES LIMOS visit 2025 , 2025 2025
A coordination mechanism between the emergency department and inpatient unit to mitigate hospital crowding J Wang, M Zou, YH Kuo, ZJM Shen, CA Graham Decision Sciences 56 (5), 489-508 , 2025 2025 Citations: 1
Service outsourcing: The dilemma of third-party service providers J Wang, BJ Ma, YH Kuo, MJ Saenz Transportation Research Part E: Logistics and Transportation Review 202, 104298 , 2025 2025 Citations: 6
Cold chain routing for product freshness and low carbon emissions: A target-oriented robust optimization approach Y Ding, L Zhang, YH Kuo, L Zhang Transportation Research Part E: Logistics and Transportation Review 199, 104138 , 2025 2025 Citations: 13
Hierarchical production control and distribution planning under retail uncertainty with reinforcement learning Y Deng, AHF Chow, Y Yan, Z Su, Z Zhou, YH Kuo International Journal of Production Research 63 (12), 4504-4522 , 2025 2025 Citations: 13
Reinforcement learning for healthcare operations management: methodological framework, recent developments, and future research directions: Q. Wu et al. Q Wu, J Han, Y Yan, YH Kuo, ZJM Shen Health Care Management Science 28 (2), 298-333 , 2025 2025 Citations: 37
Impact of self‐service technology in designing a service delivery system J Wang, L Ma, W Xue, YH Kuo Production and Operations Management 34 (6), 1217-1235 , 2025 2025 Citations: 16
Towards cyber-physical internet: A systematic review, fundamental model and future perspectives H Wu, M Li, C Yu, Z Ouyang, K Lai, Z Zhao, S Pan, S Wang, RY Zhong, ... Transportation Research Part E: Logistics and Transportation Review 197, 104051 , 2025 2025 Citations: 29
Converged Address Resolution Protocol for Traceability and Visibility in Cyber-Physical Internet W Lei, M Li, YH Kuo, GQ Huang IEEE Internet of Things Journal , 2025 2025 Citations: 2
Object-driven narrative in ar: A scenario-metaphor framework with vlm integration Y Sun, H Guan, YH Kuo arXiv preprint arXiv:2504.13119 , 2025 2025 Citations: 3
Large language models for traffic and transportation research: Methodologies, state of the art, and future opportunities Y Yan, Y Liao, G Xu, R Yao, H Fan, J Sun, X Wang, J Sprinkle, Z An, M Ma, ... arXiv preprint arXiv:2503.21330 , 2025 2025 Citations: 25
Staff scheduling in operations management YH Kuo, J Han Encyclopedia in Operations Management , 2025 2025
Group buying with consumer disappointment at failed deals J Wang, BJ Ma, Y Yang, CH Cheng, YH Kuo Transportation Research Part E: Logistics and Transportation Review 194, 103903 , 2025 2025 Citations: 6
Operating policies for robotic cellular warehousing systems BJ Ma, S Pan, B Zou, YH Kuo, GQ Huang Transportation Research Part E: Logistics and Transportation Review 194, 103875 , 2025 2025 Citations: 10
Multimodal fusion for large-scale traffic prediction with heterogeneous retentive networks Y Yan, S Cui, J Liu, Y Zhao, B Zhou, YH Kuo Information Fusion 114, 102695 , 2025 2025 Citations: 34
MOST CITED SCHOLAR PUBLICATIONS
A survey of dial-a-ride problems: Literature review and recent developments SC Ho, WY Szeto, YH Kuo, JMY Leung, M Petering, TWH Tou Transportation Research Part B: Methodological 111, 395-421 , 2018 2018 Citations: 710
Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China SY He, YH Kuo, D Wu Transportation Research Part C: Emerging Technologies 67, 131-148 , 2016 2016 Citations: 315
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu, C Ying Transportation Research Part E: Logistics and Transportation Review 162, 102712 , 2022 2022 Citations: 291
From data to big data in production research: the past and future trends YH Kuo, A Kusiak International Journal of Production Research 57 (15-16), 4828-4853 , 2019 2019 Citations: 279
Public Transport for Smart Cities: Recent Innovations and Future Challenges YH Kuo, JMY Leung, Y Yan European Journal of Operational Research 306 (3), 1001-1026 , 2023 2023 Citations: 263
Vehicle routing problems with drones equipped with multi-package payload compartments MA Masmoudi, S Mancini, R Baldacci, YH Kuo Transportation Research Part E: Logistics and Transportation Review 164, 102757 , 2022 2022 Citations: 159
Operational research: Methods and applications F Petropoulos, G Laporte, E Aktas, SA Alumur, C Archetti, H Ayhan, ... Journal of the Operational Research Society 75 (3), 423-617 , 2024 2024 Citations: 158
The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model SY He, YH Kuo, KK Sun Transportation Research Part A: Policy and Practice 160, 21-44 , 2022 2022 Citations: 155
An integrated approach of machine learning and systems thinking for waiting time prediction in an emergency department YH Kuo, NB Chan, JMY Leung, H Meng, AMC So, KKF Tsoi, CA Graham International journal of medical informatics 139, 104143 , 2020 2020 Citations: 116
Improving the efficiency of a hospital emergency department: a simulation study with indirectly imputed service-time distributions YH Kuo, O Rado, B Lupia, JMY Leung, CA Graham Flexible Services and Manufacturing Journal 28 (1), 120-147 , 2016 2016 Citations: 106
A decision support framework for home health care transportation with simultaneous multi-vehicle routing and staff scheduling synchronization JA Nasir, YH Kuo Decision Support Systems 138, 113361 , 2020 2020 Citations: 92
The supply chain design for perishable food with stochastic demand S Yang, Y Xiao, YH Kuo Sustainability 9 (7), 1195 , 2017 2017 Citations: 69
Digital twin-enabled smart industrial systems: Recent developments and future perspectives YH Kuo, F Pilati, T Qu, GQ Huang International Journal of Computer Integrated Manufacturing 34 (7-8), 685-689 , 2021 2021 Citations: 58
Appointment overbooking with different time slot structures Y Chen, YH Kuo, P Fan, H Balasubramanian Computers & Industrial Engineering 124, 237-248 , 2018 2018 Citations: 56
Technology-driven logistics and supply chain management for societal impacts X Sun, YH Kuo, W Xue, Y Li Transportation Research Part E: Logistics and Transportation Review 185, 103523 , 2024 2024 Citations: 54
Medical appointment overbooking and optimal scheduling: tradeoffs between schedule efficiency and accessibility to service YH Kuo, B Hari, Y Chen Flexible Services and Manufacturing Journal 32 (1), 72-101 , 2020 2020 Citations: 45
Scheduling of multi‐skilled staff across multiple locations YH Kuo, JMY Leung, CA Yano Production and Operations Management 23 (4), 626-644 , 2014 2014 Citations: 45
Operations & supply chain management: principles and practice F Petropoulos, H Akkermans, OZ Aksin, I Ali, MZ Babai, A Barbosa-Povoa, ... International journal of production research 64 (1), 330-513 , 2026 2026 Citations: 44
Simulation with data scarcity: developing a simulation model of a hospital emergency department YH Kuo, JMY Leung, CA Graham Proceedings of the 2012 winter simulation conference (WSC), 1-12 , 2012 2012 Citations: 44
Will providing return-freight-insurances do more good than harm to dual-channel e-commerce retailers? J Lin, TM Choi, YH Kuo European Journal of Operational Research 307 (3), 1225-1239 , 2023 2023 Citations: 43
