• English

    • Ir Dr HO To Sum, George （何道森博士工程師）
    PhD (PolyU)
    BEng (PolyU)
    (FHEA)

    Professor
    DDA Associate Programme Director
    Department of Supply Chain and Information Management
    Associate Dean (Engagement) of School of Decision Sciences
    Associate Director (Digital Learning) of Centre for Teaching and Learning

    電話 : (852) 3963 5587


    Ir Prof Ho To Sum, George holds a PhD in Industrial and Systems Engineering (ISE) from The Hong Kong Polytechnic University, where he taught a diverse range of academic subjects with a focus on Decision Analytics, System Simulation, and Service Operations across both undergraduate and master’s programs. Since joining The Hang Seng University of Hong Kong in 2018, he has been honored with the University’s Teaching Excellence Award in 2021 in recognition of his outstanding contribution to education.

    As a Principal Investigator and Project Leader, Prof Ho has successfully secured over HK$17.2 million in research funding across 16 projects. His leadership has driven fruitful collaborations with prominent commercial organizations such as PCCW, MTR Corporation Limited, Pok Oi Hospital, and Sino Parking Services Limited. Notably, his innovative research projects were awarded the Silver Award at the Geneva International Exhibition of Inventions consecutively in 2023, 2024, and 2025, and most recently, a Gold Medal with Jury Congratulations in 2026. He also holds 6 patents, underscoring his commitment to impactful innovation.

    Prof Ho’s prolific research output includes around 200 publications in leading international journals and conferences. His work has been widely published in reputable journals such as Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Economics, Decision Support Systems, International Journal of Production Research, and Expert Systems with Applications. More than 140 of his papers are indexed in SCI/SSCI databases, and his Scopus h-index, excluding self-citations, stands at an impressive 38. In recognition of his scholarly excellence, Prof Ho was named among the World’s Top 2% Scientists by Stanford University in 2021. His subsequent accolades from ScholarGPS highlight an accelerating global impact: he was ranked as a Top 0.5% scholar in Expert Systems in 2022, a Top 0.45% scholar across all fields in 2024, and most recently in 2025, placed in the top 0.83% of all scholars globally while ascending to the elite top 0.08% within the Expert Systems discipline.

    Research InterestsSelected PublicationsResearch GrantsScholarly Services
    TopResearch Interests
    • Logistics and Supply Chain Management
    • Big Data Analytics
    • Internet-of-Things Applications
    • Business Intelligence
    • Digital Workforce
    TopSelected Publications
    2026
    • Ho, G. T. S., Tang, V., Lee, C. K. H., Tam, M. M. F., and Chow, E. W. H. (2026). Toward Industry 5.0: Digital Twin-Based Approach for Joint Sustainability and Resilience Optimization in Automated Warehouse. Journal of Theoretical and Applied Electronic Commerce Research, (Accepted).
    • Ng, C. Y., Tang, Y. M., & Ho, G. T. S. (2026). A blended sentiment analysis, large language model, and multi-criteria decision-making (BSLMM) approach to sustainable product innovation. Soft Computing, 1-17.
    • Ho G.T.S., Wang Y., Tang V., Chow, E. W. H., Tam M. M. F. and Li, C. H. J. (2026). Synchronizing product information, inventory management, and order picking using AI and AR for enhanced e-fulfillment efficiency. International Journal of Engineering Business Management, 18, 18479790261462275.
    • Du, L., Kuo, W. T., Tang, Y. M., & Ho, G. T. S. (2026). Comparative analysis of traditional and metaverse-based education: impacts on students’ all-round development. BMC psychology, 14(1), 259.
    • Chow, E. W. H., Li, C. H. J., Tang, V., Tam, M. M. F., and Ho, G. T. S. (2026). Reinforcement Learning-Driven Resilient Smart Warehousing: A Holistic Approach for Replenishment and Picking. Engineering Applications of Artificial Intelligence, 177, 114921.
    • Tang, Y. M., Chan, Y. K., Wei, R., Ho, G. T. S. (2026). “Multi-group comparison of STEM education approaches”, Learning and Instruction, 102, 102305.
    2025
    • Huang Hao, Ho, G. T. S., Tang, V., Chow, E. W. H., Ip, W. H., and Yung, K. L. (2025), “A Lightweight Fully Convolutional Neural Network for Efficient and Accurate Tunnel Crack Detection”, Journal of Advanced Research, https://doi.org/10.1016/j.jare.2025.11.052
    • Huang Hao, Ho, G. T. S., Geda M. W., Li Minhao, Tang Y. M. (2025), “Dehaze-attention: enhancing image dehazing with a multi-scale, attention-based deep learning framework”, Scientific Reports, 15(1), 44191.
    • Wan Kelvin, Woo Yan Yin, & Ho, G. T. S. (2025), “Enhancing Service-Learning through Generative AI: A Mixed-Methods Study on Educational Game Design in a Finance Course”, Cogent Education, 12(1).
    • Ho, G. T. S., Tang, Y. M., Kuo, W. T., & Tang, V. (2025), “Blockchain‐Based Platform for Information Security and Visual Management in Coffee Trading”, Concurrency and Computation: Practice and Experience, 37(25-26), e70299.
    • Luo, F., Jiang, P., Ho, G. T. S., & Zeng, W. (2025), “ShipsMOT: A Comprehensive Benchmark and Framework for Multiobject Tracking of Ships”, IET Computer Vision, 19(1), e70042.
    • Li, Y., Tsang, Y. P., Lee, C. K. M., Luo, J., Ho, G. T. S., & Wu, C. H. (2025), “Is It Time to Rethink ESG Strategies for SMEs in Supply Chains? Evaluating Implementation Priority and Performance With Decision Models”, Corporate Social Responsibility and Environmental Management, 32(6), 8688-8706.
    • Ho G.T.S., Tang Y. M., Leung K. H., & Tong P. H. (2025) Integrated reinforcement learning of automated guided vehicles dynamic path planning for smart logistics and operations. Transportation Research Part E: Logistics and Transportation Review, 196, 104008.
    • Ho G.T.S., Tang. V., Tong P. H. & Tam M. M. F. (2025) Demand-driven storage allocation for optimizing order picking processes. Expert Systems with Applications, 126812.
    • Lam, H. Y., Ho, G. T. S., Mo, D. Y., & Wong, L. (2025). Transforming cold chain logistics: a reversible vehicle routing approach for sustainable and efficient delivery of perishable goods. Enterprise Information Systems, 2492737.
    • Su, X., Chau, K. Y., Ho, G. T. S., Yip, H. T., & Tang, Y. M. (2025). A bibliometric study on technology usage for occupational safety and health risk assessment in construction industry. Journal of Asian Architecture and Building Engineering, 1-16.
    • Tang, Y. M., Wong, J. K. N., & Ho, G. T. S. (2025). Exploring Consumer Acceptance of Metaverse Marketing for Branding Activities and the Pre-Purchase Stage. Journal of Theoretical and Applied Electronic Commerce Research, 20(3), 159.
    2024
    • Luo, F., Ma, J., & Ho, G. T. S. (2024). An instance-level data balancing method for object detection via contextual information alignment. Image and Vision Computing, 105155.
    2023
    • Lam, H.Y, Ho, G. T. S., Mo, D. Y., & Tang, V. (2023). Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order. International Journal of Production Economics, 264, 108976.
    2022
    • Tang Y.M., Ho G.T.S., Lau Y.Y. and Tsui S.Y. (2022), Integrated Smart Warehouse and Manufacturing Management with Demand Forecasting in Small-Scale Cyclical Industries, Machines, DOI: 10.3390/machines10060472.
    • Tang V., Lam H.Y., Wu C.H. and Ho G.T.S. (2022), A two-echelon health analytic model for triggering care plan revision in geriatric care management, Journal of Organisational and End User Computing, vol 34(4), 1-29. 
    • Tang Y.M., Chau K.Y., Lau Y.Y. and Ho G.T.S. (2022), Impact of mobile learning in engineering mathematics under 4-year undergraduate curriculum, Asia Pacific Journal of Education, 1-17.
    2021
    • Lee, C. K. H., Tse, Y. K., Ho, G. T. S., & Chung, S. H. (2021), Uncovering insights from healthcare archives to improve operations: An association analysis for cervical cancer screening, Technological Forecasting and Social Change, 162, 120375.
    • Ho, G. T. S., Tang, Y. M., Tsang, K. Y., & Tang, V. (2021) Blockchain-based System to Enhance Aircraft Parts Traceability and Trackability, Expert Systems with Applications, vol. 179, 115101.
    • Lam, H.Y., Ho, G.T.S., Mo, D.Y., & Tang, V., (2021) Enhancing data-driven elderly appointment services in domestic care communities under COVID-19. Industrial Management & Data Systems, DOI: 10.1108/IMDS-07-2020-0392
    • Yung, K. L., Ho, G. T. S., Tang, Y. M., & Ip, W. H. (2021). Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification. Industrial Management & Data Systems. vol. 121, no. 3, pp. 637-656.
    • Rui, R.X., Tian, M., Tang, M.L., Ho, G.T.S., & Wu, C.H., (2021) Analysis of the Spread of COVID-19 in the USA with a Spatio-Temporal Multivariate Time Series Model, International Journal of Environmental Research and Public Health, 18(2), 1-18.
    2020
    • Lee, C. K. H., Tse, Y. K., Ho, G. T. S., & Chung, S. H. (2020). Uncovering insight from healthcare archives to improve the operations: An associate analysis for cervical cancer screening, Technological Forecasting & Social Change. DOI: 10.1016/j.techfore.2020.120375
    2019
    • Tsang, Y.P., Choy, K.L., Wu, C.H., & Ho, G.T.S. (2019). Multi-Objective Mapping Method for 3D Environmental Sensor Network Deployment, IEEE Communication Letters, vol. 23(7), pp.1231-1235.
    • Ho, G.T.S., Tsang, Y.P., Wu, C.H., Wong, W.H., & Choy, K.L. (2019). A Computer Vision-Based Roadside Occupation Surveillance System for Intelligent Transport in Smart Cities, Sensors, vol.19(8), pp.1796.
    • Tang, V., Siu, P.K.Y., Choy, K.L., Lam, H.Y., Ho, G.T.S., Lee, C.K.M., & Tsang, Y.P. (2019). An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry. Expert Systems, vol. 36(2).
    • Leung, K.H., Choy, K.L., Ho, G.T.S., Lam, H.Y., Luk, C.C., & Lee, C.K.M. (2019). Prediction of B2C e-commerce order arrival using hybrid autoregressive-adaptive neuro-fuzzy inference system (AR-ANFIS) for managing fluctuation of throughput in e-fulfilment centres. Expert Systems with Applications, vol. 134, pp. 304-324.
    2018
    • Wu, C.H., Ho, G.T.S., Yung, K.L., Tam, W.W.Y. & Ip, W.H. (2018), “An      RFID-Based Fallen Object Detection System: A Case Study of Hong Kong’s Light Rail System”, IEEE Journal of Radio Frequency Identification, vol. 2, no. 2, pp.  55-67.
    • Choy, K.L., Siu, K.Y.P., Ho, G.T.S., Wu, C.H., Lam, H.Y., Tang, V. & Tsang, Y.P. (2018), “An intelligent case-based knowledge management system for quality improvement in nursing homes”, VINE Journal of Information and Knowledge Management Systems, vol. 48, no. 1, pp. 103-121.
    • Tsang, Y.P., Choy, K.L., Wu, C.H., Ho, G.T.S., Lam, H.Y. & Tang, V. (2018), “An intelligent model for assuring food quality in managing a multi-temperature food distribution centre”, Food Control, vol. 90, pp. 81-97.
    • Tsang, Y.P., Choy, K.L., Wu, C.H., Ho, G.T.S., Lam, H.Y. & Koo, P.S. (2018), “An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks”, Industrial Management and Data Systems, vol. 118 No. 7, pp. 1432-1462.
    • Wu, C.H., Tseng, K.K., Ng, C.K., Ho, G.T.S., Zeng, F.F. & Tse, Y.K. (2018), “An improved Huffman coding with encryption for Radio Data System (RDS) for smart transportation”, Enterprise Information Systems, vol. 12, no. 2, pp. 137-154.
    • Leung, K.H., Choy, K.L., Siu, P.K.Y., Ho, G.T.S., Lam, H.Y. & Lee, C.K.M. (2018), “A B2C E-commerce Intelligent System for Re-engineering the E-Order Fulfilment Process”, Expert Systems With Applications, vol. 91, pp. 386-401.
    • Tsang, Y.P., Choy, K.L., Koo, P.S., Ho, G.T.S., Wu, C.H., Lam, H.Y. & Tang, V. (2018), “A fuzzy association rule-based knowledge management system for occupational safety and health programs in cold storage facilities”, VINE Journal of Information and Knowledge Management Systems, vol. 48, no. 2, pp. 199-216.
    • Tang, V., Siu, P.K., Choy, K.L., Ho, G.T.S., Lam, H.Y., & Tsang, Y.P. (2018). A web mining-based case adaptation model for quality assurance of pharmaceutical warehouses. International Journal of Logistics Research and Applications, vol.22, no. 4, pp. 325-348. DOI: 10.1080/13675567.2018.1530204
    2017
    • Tsang, Y.P., Choy, K.L., Wu, C.H., Ho, G.T.S., Lam, H.Y. & Koo, P.S. (2017), “An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment”, International Journal of Engineering Business Management, vol. 9, pp. 1-13.
    • Wong, B., Ho, G.T.S. & Tsui, E. (2017), “Development of an intelligent e-Healthcare system for the domestic care industry”, Industrial Management & Data Systems, vol. 117, no. 7, pp. 1426-1445.
    • Choy, K.L., Ho, G.T.S. & Lee, C.K.H. (2017), “A RFID-based storage assignment system for enhancing the efficiency of order picking”, Journal of Intelligent Manufacturing, vol. 28, no. 1, pp. 111-129.
    2016
    • Lee, C.K.M., Mitrea, C., Ip, W.H., Choy, K.L. & Ho, G.T.S. (2016), “Design and development of inventory knowledge discovery system”, Enterprise Information Systems, vol. 11, no. 8, pp. 1262-1282.
    • Choy, K.L., Ho, G.T.S., Lee, C.K.H., Lam, H.Y., Cheng, S.W.Y., Siu, P.K.Y., Pang, G.K.H., Tang, V., Lee, J.C.H. & Tsang, Y.P. (2016), “A recursive operations strategy model for managing sustainable chemical product development and production”, International Journal of Production Economics, vol. 181, pp. 262-272.
    • Lee, C.K.H., Choy, K.L., Ho, G.T.S. & Lam, C.H.Y. (2016), “A slippery genetic algorithm-based process mining system for achieving better quality assurance in the garment industry”, Expert Systems with Applications, vol. 46, pp. 236-248.
    • Lee, C.K.H., Choy, K.L., Ho, G.T.S. & Lin, C. (2016), “A cloud-based responsive replenishment system in a franchise business model using a fuzzy logic approach”, Expert Systems, vol. 33, no. 1, pp. 14-29.
    • Wu, C.H., Ho, G.T.S., Lam, C.H.Y., Ip, W.H., Choy, K.L. & Tse, Y.K. (2016), “An online niche-market tour identification system for the travel and tourism industry”, Internet Research, vol. 26, no. 1, pp. 167-185.
    • Hui, Y.Y.Y., Choy, K.L., Ho, G.T.S., Leung, K.H. & Lam, H.Y. (2016), “A cloud-based location assignment system for packaged food allocation in e-fulfillment warehouse”, International Journal of Engineering Business Management, vol. 8.
    2015
    • Lam, H.Y., Choy, K.L., Ho, G.T.S., Cheng, S.W.Y. & Lee, C.K.M. (2015), “A knowledge-based logistics operations planning system for mitigating risk in warehouse order fulfilment”, International Journal of Production Economics, vol. 170, pp. 763-779.
    • Lee, C.K.H., Tse, Y.K., Ho, G.T.S. & Choy, K.L. (2015), “Fuzzy association rule mining for fashion product development”, Industrial Management & Data Systems, vol. 115, no. 2, pp. 383-399.
    • Wu, C.H., Ho, G.T.S., Lam, C.H.Y. & Ip, W.H. (2015) “Franchising decision support system for formulating a center positioning strategy”, Industrial Management and Data Systems, vol. 115, no. 5, pp. 853-882.
    • Ho, G.T.S., Lau, H.C.W., Choy, K.L., Lee, C.K.M. & Lam, H.Y. (2015), “Providing decision support for replenishment operations using a genetic algorithms based fuzzy system”, Expert Systems: the Journal of Knowledge Engineering, vol. 32, no. 1, pp. 23-38.
    • Wu, C.H., Ng, C.K., Wang, L., Ho, G.T.S., Ip, W.H. & Zhang, J. (2015), “Design of a wireless sensor network monitoring system for biological and pharmaceutical products”, International Journal of Distributed Sensor Networks, no. 760242.
    2014 or before
    • Lee, C.K.H., Ho, G.T.S., Choy, K.L. & Pang, G.K.H. (2014). A RFID-based recursive process mining system for quality assurance in the garment industry. International Journal of Production Research, 52(14), 4216-4238.
    • Lau, H.C.W., Ho, G.T.S., Chan, T.M., & Tsui, W.T. (2014). An innovation approach for achieving cost optimization in supply chain management. Journal of Intelligent and Fuzzy Systems, 26(1), 173-192.
    • Ho, G.T.S., Lau, H.C.W., Choy, K.L., Lee, C.K.M., & Lam, H.Y. (2013). Providing decision support for replenishment operations using a genetic algorithms based fuzzy system. Expert Systems, 32(1), 23-38.
    • Ho, G.T.S., Ip, W.H., Wu, C.H., & Tse, Y.K. (2012). Using a fuzzy association rule mining approach to identify the financial data association. Expert Systems With Applications, 39(10), 9054-9063.
    • Ho, G.T.S., Lau, H.C.W., Chung, N.S.H. & Ip, W.H. (2010). Fuzzy Measurement in Quality Management Systems. Studies in Fuzziness and Soft Computing: Production Engineering and Management under Fuzziness, 252, Springer, Berlin.
    • Ho, G.T.S., Lau, H.C.W., Kwok, S.K., Lee, C.K.M., & Ho, W. (2009). Development of a co-operative distributed process mining system for quality assurance. International Journal Of Production Research, 47(4), 883-918.
    • Lau, H.C.W., Ho, G.T.S., Chu, K.F., Ho, W., & Lee, C.K.M. (2009). Development of an intelligent quality management system using fuzzy association rules. Expert Systems With Applications, 36(2), 1801-1815.
    • Ho, G.T.S., Lau, H.C.W., Chung, S.H., Fung, R.Y.K., Chan, T.M., & Lee, C.K.M. (2008). Fuzzy rule sets for enhancing performance in a supply chain network. Industrial Management & Data Systems, 108(7), 947-972.
    • Ho, G.T.S., Lau, H.C.W., Lee, C.K.M., Ip, A.W.H., & Pun, K.F. (2006). An intelligent production workflow mining system for continual quality enhancement. The International Journal Of Advanced Manufacturing Technology, 28(7-8), 792-809.
    • Ho, G.T.S., Lau, H.C.W., Lee, C.K.M. & Ip, A.W.H. (2005). An intelligent forward quality enhancement system to achieve product customization. Industrial Management & Data Systems, 105(3), 384-406.
    TopResearch Grants
    • RGC FDS “A Multi-Agent Reinforcement Learning Framework for Optimizing E-Fulfillment Processes”, Principal Investigator, Project Amount: HK$ 629,035, Project code: UGC/FDS14/E10/25
    • RGC RMGS “Chefbot: Empowering Supply Chain Decisions via Tailored Generative AI Development”, Principal Investigator, Project Amount: HK$ 2,400,000
    • RGC RMGS “AI-Driven Integration of Operations and Security in Smart Warehouses”, Co-Investigator, Project Amount: HK$ 10,200,000
    • RGC RMGS “AI-driven One-stop Platform for enhancing Inventory Management through Big Data Analysis”, Co-Investigator, Project Amount: HK$ 187,500
    • RGC RMGS “Mass Customizing Artificial Intelligence-Based Inspection Systems”, Co-Investigator, Project Amount: HK$ 461,458.4
    • RGC RMGS “Integration of Artificial Intelligence and Metaverse in Luxury E-commerce Retail for Enhancing Customers’ Online Experience”, Co-Investigator, Project Amount: HK$ 1,046,947.95
    • RGC FDS “Sustainable and Resilient Automated E-Fulfilment Operations in the Era of Industrial 5.0”, Principal Investigator, Project Amount: HK$ 479,650, Project code: UGC/FDS14/E03/23
    • RGC RMGS “Intelligent Digitalization Platform for Enhancing Business Workflow Management in E-commerce Industry”, Principal Investigator, Project Amount: HK$ 1,900,000
    • RGC RMGS “Intelligent Smart Cities Management and IoT Analytics Platform”, Principal Investigator, Project Amount: HK$2,227,639
    • RGC FDS “Dynamic Pick Face Replenishment & Pallet Consolidation Model for Landing in the Next E-Fulfilment Normal”, Principal Investigator, Project Amount: HK$ 669,975, Project Code: UGC/FDS14/E06/21
    • RGC IIDS “Digital Revolution: Blockchain Technology for facilitating trusted data exchange for Jewellery Industry”, Co-Investigator, Project Amount: HK$ 447,910, Project Code: UGC/IIDS16/E01/21
    • RGC FDS “Dual-channel logistics strategy through the integration of crowdsourced vehicles for ad hoc demand”, Co-Investigator, Project Amount: HK$ 493,450, Project Code: UGC/FDS14/E05/21
    • RGC FDS “Variable selection methods for complex data analysis”, Principal Investigator, Project Amount: HK$ 1,453,650, Project Code: UGC/FDS14/P05/20
    • RGC IIDS “The International Symposium on Virtual / Augmented Reality (V/AR) Inspection Training and Education in Modular Integrated Construction (MiC)”, Co-Investigator, Project Amount: HK$ 370,860, Project Code: UGC/IIDS16/E02/20
    • ITF Partnership Research Programme “Smart Robotic Workforce: A Digital Twin-based Solution for Process Re-Engineering in Small and Medium Enterprises”, Principal Investigator, (Project Amount: HK$1,754,911.50, Project Code: PRP/034/20FX)
    • RGC FDS “Blockchain-based E-Commerce Analytics Model for Facilitating Trusted Data Exchange and Digital Supply Chain Integration”, Project Investigator, Project Amount: HKD$ 997,840, Project Code: UGC/FDS14/E06/19
    TopScholarly Services
    • Associate Editor of the International Journal of Engineering Business Management
    • Associate Editor of the International Journal of Software Science and Computational Intelligence
    • Editorial Board of Future Transportation
    • Editorial Review Board of the International Journal of Cloud Applications and Computing
    • Editorial Review Board of the International Journal of Green Business
    • Member of the International Editorial Advisory Committee for Industrial Engineering and Management Journal