• SHSS

    • Dr MO Yiu Wing, Daniel （巫耀榮博士）
    BEng (HKUST)
    MPhil (HKUST)
    PhD (HKUST)

    Head of Cloud Innovation School
    Associate Dean (Engagement and Undergraduate Studies), School of Decision Sciences
    Associate Professor

    電話 : (852) 3963 5239
    電郵 :
    danielmo@hsu.edu.hk


    Dr. Daniel Mo has over twenty years of experience in research and consultancy, enabling companies to achieve best-in-class global operations. As an active researcher, he serves as the principal investigator on various research projects. Some of his research has been published in international journals such as IEEE Transactions on Automation Science and Engineering, International Journal of Production Research, IEEE Transactions on Engineering Management, International Journal of Production Economics, and INFORMS Journal on Applied Analytics (formerly Interfaces), among others.   He received his PhD in Industrial Engineering and Logistics Management from the Hong Kong University of Science and Technology (HKUST), following several years of industry experience. During his postgraduate studies, one of his research papers was a finalist for the Kayamori Best Automation Paper Award. He was also a two-time recipient of the prestigious Sir Edward Youde Memorial Fellowship for his MPhil and PhD programs. In 2023, his research work received the Outstanding Paper Award in the IEEE International Conference on Industrial Engineering and Engineering Management.   Before joining the Hang Seng University of Hong Kong (HSUHK), formerly known as Hang Seng Management College (HSMC), Dr. Mo served as a lead analyst for an international company featured on the Fortune Global 500 list, reporting directly to the Executive Vice President. He made impactful contributions across various industrial sectors, including diversified manufacturing, third-party logistics, community transportation, and aftermarket services, among others. Since 2011, Dr. Mo has held a Six Sigma Black Belt certification, leveraging his extensive industrial experience in these diverse sectors to provide quality management training to both managers and students. Dr. Mo joined HSMC to support the development of self-financing post-secondary education in Hong Kong. His commitment to excellence in teaching has been recognized with teaching excellence awards from both HSMC and HSUHK.

    Research InterestsResearch and Teaching GrantsSelected Journal PublicationsConference PapersScholarly ServicesAwards
    TopResearch Interests
    • Aftermarket Supply Chain Management
    • Demand and Supply Analytics
    • Design of Intelligent Systems
    • Lean Six Sigma
    • Logistics Network Optimization
    TopResearch and Teaching Grants
    Research and Innovation Grants
    • Research Grants Council of Hong Kong, “Mass Customizing Artificial Intelligence-Based Inspection Systems”, Research Matching Grant Scheme, HK$ 1,845,833, 10/2023 – 9/2025, PI.
    • Research Grants Council of Hong Kong, “Meta Configurator: A Resource-Effective Method to Develop Needs-Based Configurators for Product Customisation”, UGC/FDS14/E05/22, HK$ 1,261,600, 1/2023 – 12/2025, PI.
    • Research Grants Council of Hong Kong, “Digital Transformation in Warehouse Management using MES, RPA and AI”, Research Matching Grant Scheme, HK$ 2,450,000, 9/2022 – 8/2025, Co-I.
    • Research Grants Council of Hong Kong, “Blockchain-based Insurance and Financial Products Recommendation: Affordances and Actualisations”, Research Matching Grant Scheme, HK$ 4,236,970, 3/2022 – 2/2024, Co-PI.
    • Research Grants Council of Hong Kong, “Dual Channel Logistics Strategy with the Integration of Crowdsourced Vehicles for Ad Hoc Demand”, UGC/FDS14/E05/21, HK$ 493,450, 1/2022 – 12/2024, PI.
    • Research Grants Council of Hong Kong, “Extended Reality on Smart Transport and Logistics: Embracing Innovative Theories and Technologies for Enhancing Operational Resilience and Efficiency”, UGC/IIDS14/B01/21, HK$ 544,548, 1/2022 – 12/2022, Co-I.
    • Innovation and Technology Fund, “Home Smart Robotic Workforce: A Digital Twin-based Solution for Process Re-Engineering in Small and Medium Enterprises”, PRP/034/20FX, HK$ 1,754,912, 1/2021 – 8/2022, Co-I.
    • Research Grants Council of Hong Kong, “Research and Development of Contactless Parking System for Hourly and Monthly Parking”, Research Matching Grant Scheme, $ 215,500, 1/2021 – 5/2021, Co-I.
    • Research Grants Council of Hong Kong, “Design of a Blockchain-based Intelligent Model for Enhancing Supply Chain Reliability”, Research Matching Grant Scheme, $ 597,740, 3/2020 – 2/2023, Co-I.
    • Research Grants Council of Hong Kong, “Study on Digital Standard for Assessing Students' Learning Performance with Data Analytics”, Research Matching Grant Scheme, HK$ 5,400,000, 9/2019 – 9/2022, PI.
    • Research Grants Council of Hong Kong, Generalised Needs-based Product Configurator Design, UGC/FDS14/E06/18, HK$ 783,250, 1/2019 – 6/2021, Co-I.
    • Research Grants Council of Hong Kong, “Three-echelon Collaborative Slot Allocation Planning for Liner Shipping Revenue Management Under Uncertain Demand”, UGC/FDS14/ E07/18, HK$869,788, 1/2019 – 6/2021, Co-I.
    • Research Grants Council of Hong Kong, “Design of Flexible Vehicle Management Systems for Mass Customised and Sustainable Paratransit Services”, UGC/FDS14/E06/17, HK$ 776,322, 1/2018 – 6/2020, PI.
    • Research Grants Council of Hong Kong, “Adaptive Process Optimization Strategies: Sustaining the Best-in-class Performance of Spare Parts Services”, UGC/FDS14/E05/16, HK$ 985,650, 1/2017 – 6/2020, PI.
    • Research Grants Council of Hong Kong, “Configuration-based Recommendation for Online Product Customization in E-commerce”, UGC/FDS14/E07/17, HK$ 828,100, 1/2018 – 12/2019, Co-I.
    • Research Grants Council of Hong Kong, “Intelligent Systems Ready for the Digital Future of Supply Chains”, UGC/IIDS14/E01/16, HK$ 541,198, 1/2017 – 12/2017, PI.
    • Research Grants Council of Hong Kong, “Relative Attribute Based Configurator Design for Mass Customization”, UGC/FDS14/E02/15, HK$783,150, 1/2016 – 12/2017, Co-I.
    • Research Grants Council of Hong Kong, “Sustainable Development for Community Dial-a-ride Services: Driving More People Without More Vehicles”, UGC/FDS14/E01/15, HK$692,530, 1/2016 – 12/2017, PI.
    Teaching Grants
    • Enhancement and Start-up Grant Scheme for Self-financing Post-secondary Education (ESGS), “Teaching Smart Decision Analytics for Supply Chain and Information Management Programme Enhancement”, 2023-2026, HK$17,074,115, PC.
    • Quality Enhancement Support Scheme (QESS), “Development of real-time cooperative VR multi-CAVE systems for collaborative and team learning”, 2021-2024, HK$8,770,761, Co-I
    • Quality Enhancement Support Scheme (QESS), "Interactive artificial intelligence assisted chatbot for self-improving oral English proficiency”, 2021-2022, HK$1,252,458, Evaluation Team.
    • Quality Enhancement Support Scheme (QESS), “The development of an education and research center with automatic virtual reality platform for 3D interactive learning and big data analytics”, 2015-2017, HK$ 2,000,000, Co-I.
    TopSelected Journal Publications
    • D.Y. Mo, Y.P. Tsang, Y. Wang, W.K. Xu (2023), “Online reinforcement learning-based inventory control for intelligent e-fulfilment dealing with nonstationary demand”, Enterprise Information Systems, Vol. 18(2). 
    • H.Y. Lam, G.T.S. Ho, D.Y. Mo, V. Tang (2023), “Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order”, International Journal of Production Economics, Vol. 264, October 2023, 108976.
    • Y. Wang, D.Y. Mo, H.L. Ma (2023), “Perception of time in the online product customization process”, Industrial Management & Data Systems, Vol. 123, No. 2, pp. 369-385.
    • H.L. Ma, Y. Sun, D.Y. Mo, Y. Wang (2023), “Impact of passenger unused baggage capacity on air cargo delivery”, Annals of Operations Research, March 2023, https://doi.org/10.1007/s10479-023-05248-y.
    • D.Y. Mo, C.Y.T. Ma, D.C.K. Ho, Y. Wang (2022). “Design of a reverse logistics system with internet of things for service parts management”, Sustainability, Vol. 14, No. 19: 12013.
    • D.Y. Mo, Y. Wang, D.C.K. Ho and K.H. Leung (2022), “Redeploying excess inventories with lateral and reverse transshipments”, International Journal of Production Research, Vol. 60, Issue 10, pp. 3031-3046.
    • L. Luo, Y. Wang and D.Y. Mo (2022), "Identifying COVID-19 Personal Health Mentions from Tweets Using Masked Attention Model," IEEE Access, Vol. 10, pp. 59068-59077, doi: 10.1109/ACCESS.2022.3179808.
    • D.Y. Mo, Y.M. Tang, E.Y. Wu, V. Tang (2022). “Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education”, Education and Information Technologies. https://doi.org/10.1007/s10639-022-11098-1.
    • Y. Wang, X. Li, L. L. Zhang and D.Y. Mo (2021), “Configuring products with natural language: a simple yet effective approach based on text embeddings and multilayer perceptron”, International Journal of Production Research, DOI: 10.1080/00207543.2021.1957508.
    • H.Y. Lam, G.T.S. Ho, D.Y. Mo, V. Tang, (2021), “Enhancing data-driven elderly appointment services in domestic care communities under COVID-19”, Industrial Management & Data Systems, Vol. 121 No. 7, pp. 1552-1576. https://doi.org/10.1108/IMDS-07-2020-0392.
    • Y. Wang, X. Li, D. Mo (2021), “Knowledge-Empowered Multi-Task Learning to Address the Semantic Gap Between Customer Needs and Design Specifications”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2021.3067141.
    • W.A. Khan, H.L. Ma, X. Ouyang, D.Y. Mo (2021), “Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines”, Transportation Research Part E: Logistics and Transportation Review, Volume 145 https://doi.org/101016/j.tre.2020102189
    • D.Y. Mo, Y. Wang, L.C. Leung, M.M. Tseng (2020) “Optimal service parts contract with multiple response times and on-site spare parts”, International Journal of Production Research, Vol. 58, No. 10, pp. 3049-3065, doi: 101080/0020754320191625487
    • D.Y. Mo, H.Y. Lam, W. Xu, G.T.S. Ho (2020), “Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services”, Sustainability, 2020, 12, 5594. https://doi.org/10.3390/su12145594.
    • E.Y.C. Wong, D.Y. Mo, S. So (2020), “Closed-loop digital twin system for air cargo load planning operations”, International Journal of Computer Integrated Manufacturing, doi: 10.1080/0951192X.2020.1775299.
    • K.H. Leung, D.Y. Mo, G.T.S. Ho, C.H. Wu, G.Q. Huang (2020), “Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology”, Industrial Management & Data Systems, Vol. 120, No. 6, pp. 1149-1174. https://doi.org/10.1108/IMDS-12-2019-0646.
    • D.Y. Mo, Y. Wang, Y.C.E. Lee, M.M. Tseng (2020), “Mass Customizing Paratransit Services With a Ridesharing Option”, IEEE Transactions on Engineering Management, Vol. 67, No. 1, pp. 234-245, Feb. 2020, doi: 10.1109/TEM.2018.2873832.
    • D.Y. Mo, S.C.H. Ng, D. Tai (2019), “Revamping NetApp’s Service Parts Operations by Process Optimization”, INFORMS Journal on Applied Analytics, Vol. 49(6), pp. 407-421. https://doi.org/10.1287/inte.2019.1008
    • W. Wang, D.Y. Mo, Y. Wang, M.M. Tseng (2019), “Assessing the cost structure of component reuse in a product family for remanufacturing”, Journal of Intelligent Manufacturing, Vol. 30(2), pp. 575-587.
    • D.C.K. Ho, D.Y.W. Mo, E.Y.C. Wong, S.M.K. Leung (2019), “Business intelligence for order fulfilment management in small and medium enterprises”, International Journal of Internet Manufacturing and Services, Vol. 6, No. 2, pp.169-184.
    • Y. Wang, D.Y. Mo, M.M. Tseng (2018), “Mapping customer needs to design parameters in the front end of product design by applying deep learning”, CIRP Annals - Manufacturing Technology, Vol. 67, Issue 1, pp. 145-148.
    • W. Wang, Y. Wang, D. Mo, M.M. Tseng (2017), “Managing component reuse in remanufacturing under product diffusion dynamics”, International Journal of Production Economics, Vol. 183, Part B, pp. 551-560.
    • D.Y. Mo, M.M. Tseng, Y. Wang (2016). “Mass Customizing Spare Parts Support Services Based on Response Time with Inventory Pooling Strategies”, IEEE Transactions on Engineering Management, Vol. 63, Iss:3, pp. 305-315.
    • D.Y. Mo, M.M. Tseng, R.K. Cheung (2014). “Design of inventory pools in spare part support operation systems”, International Journal of Systems Science, Vol. 45, Iss: 6, pp. 1296 – 1305.
    • D.Y. Mo, R.K. Cheung, A.W. Lee, G.K. Law (2009). “Flow Diversion Strategies for Routing in Integrated Automatic Shipment Handling Systems”, IEEE Transactions on Automation Science and Engineering, Vol. 6, Iss: 2, Page 377 – 384.
    TopConference Papers
    • Y. Wang, D.Y. Mo, H. Y. Lam (2024), “Needs-based Product Configurator Design by Fuzzy Prompting Language Model”, The IEEE World Congress on Computational Intelligence 2024, Japan.
    • Y.P. Tsang, D.Y. Mo, K.T. Chung and C.K. Lee (2023), "Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method", 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.
    • D.Y. Mo, Y. P. Tsang, W.K. Xu, Y. Wang (2022), “Dynamic Inventory Replenishment with Reinforcement Learning in Managing E-Fulfilment Centres, The 4th International Conference on Decision Science and Management, Changsha, China. 
    • D.Y. Mo, G.T.S. Ho (2021), “Integrative Systems for Multiple Accessible Transportation Services”, The 3rd International Conference on Decision Science and Management, Hong Kong
    • D.Y. Mo, Y. Wang (2019), “Value of Service Parts Contract with Multiple Response Times”, IISE Annual Conference & Expo 2019, Orlando, Florida, USA.
    • D.Y. Mo, Y. Wang (2018), “Consolidating Orders in a Crowdsourcing Delivery Network”, 2018 IEEE International Conference on Industrial Engineering and Engineering Management, Thailand.
    • D.Y. Mo (2018), “Excess Inventory Redeployment Strategy in Closed-loop Service Parts Logistics Networks”, The 29th POMS Annual Conference, Houston, Texas, USA, 2018.
    • D.Y. Mo, Y. Wang, T. Cheung (2017), “Design of Mass Customized Paratransit Services”, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore.
    • D.Y. Mo, T. K. Y. Cheung (2016). “Sustainable Strategies of Non-Profit Dial-a-Ride Operations”, The Seventh POMS-HK International Conference, Hong Kong.
    • W. Wang, D.Y. Mo, M.M. Tseng (2015). “Economic Assessment of Components Reuse for Remanufacturing”, The 20th Asia Pacific Decision Sciences Institute Conference, Hong Kong.
    • D.Y. Mo, M.M. Tseng, R.K. Cheung (2012). “Selection of Service Contract with On-site Spare Part Options”, IIE Annual Conference and Exposition, Proceedings, USA.
    • D.Y. Mo, M.M. Tseng, R.K. Cheung (2011). “Integrating Spare Part Management with Service Contract”, The Second POMS-HK International Conference, Hong Kong.
    • D.Y. Mo, M.M. Tseng, R.K. Cheung (2010). “Meeting Response Time Requirement in Spare Part Support Operation from Inventory Management Perspective”, 8th International Conference on Supply Chain Management and Information Systems, Hong Kong.
    • R.K. Cheung, A.W. Lee, D.Y. Mo (2006). “Flow Diversion Approaches for Shipment Routing in Automatic Shipment Handling Systems”, Proceedings 2006 IEEE International Conference on Robotics and Automation, Page 695 – 700.
    • Mo, K. Cheung, S. Song, R. Cheung (2005). “Routing Strategies in large-scale automatic storage and retrieval systems”, IIE Annual Conference and Exposition, Proceedings, USA.
    TopScholarly Services
    • President, Institute of Industrial and Systems Engineers, Hong Kong Chapter, 2021- 2023.
    • Guest editor, Special issue on Service Automation with Data-driven Decision Analytics, Scientific Programming, 2022.
    • Vice President, Institute of Industrial and Systems Engineers, Hong Kong Chapter, 2019-2021.
    • Guest editor, Special issue on Digitalization and Innovation in Logistics Management, International Journal of Internet Manufacturing and Services, 2019
    • Session chair in the 2018 IEEE Conference on Industrial Engineering and Engineering Management, Thailand, 2018
    • Session chair in the 2017 IEEE Conference on Industrial Engineering and Engineering Management, Singapore, 2017.
    • Session chair in the 50th CIRP Conference on Manufacturing Systems, Taiwan, 2017.
    • Session chair in the 20th Asia Pacific Decision Sciences Institute Conference, Hong Kong, 2015.
    • Session chair in IIE Annual Conference and Exposition, USA, 2012.
    • Session chair in POMS-HK Conference, Hong Kong, 2011.
    TopAwards
    • HSUHK Teaching Excellence Award, Hang Seng University of Hong Kong, 2022. 
    • SDSC Research Excellence Award, Hang Seng University of Hong Kong, 2019-21.
    • HSUHK Teaching Excellence Award, Hang Seng University of Hong Kong, 2019.
    • SDSC Research Excellence Award, Hang Seng University of Hong Kong, 2017-19. 
    • HSMC Teaching Excellence Award, Hang Seng Management College, 2016.
    • Sir Edward Youde Memorial Fellowship, Sir Edward Youde Memorial Fund Council, 2011.
    • Teaching Assistant Excellence Award, Hong Kong University of Science and Technology, 2009.
    • Sir Edward Youde Memorial Fellowship, Sir Edward Youde Memorial Fund Council, 2005.
    • Dean’s List Award, Hong Kong University of Science and Technology, 2002