Ir Dr HO To Sum, George holds a PhD in Industrial and Systems Engineering (ISE) from The Hong Kong Polytechnic University, where he taught a variety of academic subjects, with a focus on Decision Analytics, System Simulation, and Service Operations in undergraduate and master's programs. Since joining The Hang Seng University of Hong Kong in 2018, he has been recognized with the Teaching Excellence Award by the University in 2021.

He has also spearheaded several collaborative projects with commercial companies such as PCCW, MTR Corporation Limited, Pok Oi Hospital, and Sino Parking Services Limited. Notably, two of his research endeavors, namely "EBizbot," a real-time mixed reality-based Artificial Intelligence (AI) system, and "OPlusO Hub: Event Management in the Metaverse," a fusion of offline and online event management coupled with AI-powered visitor behavior analysis, were honored with the “Silver Award" at the Geneva International Exhibition of Inventions in 2023 and 2024.

His research has led to over 180 international journal and conference papers, many of which are published in well-known journals such as "International Journal of Production Economics," "Decision Support Systems," "Industrial Management and Data Systems," "International Journal of Production Research," and "Expert Systems with Applications." Over 120 of his publications are listed in SCI/SSCI, and his h-index for publications is 39. In 2021, he was recognized as one of the World's Top 2% Scientists by Stanford University. Given his expertise, he serves as the Associate Editor for the International Journal of Engineering Business Management, Editorial Board of the International Journal of Manufacturing Engineering, and Vice-President of the Institute of Industrial and Systems Engineers (Hong Kong).

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.
  
• Ng, S. C. H., Ho, G. T. S., & Wu, C. H. (2023). Blockchain-IIoT-big data aided process control and quality analytics. International Journal of Production Economics, 261, 108871.
• Ho, G. T. S., Tsang, Y. P., Wu, Q., & Tang, V. (2023). ck-FARM: An R package to discover big data associations for business intelligence. SoftwareX, 22, 101341.
• Peng, Z., Li, M., Wang, Y., & Ho, G. T. S. (2023). Combating the COVID-19 infodemic using Prompt-Based curriculum learning. Expert Systems with Applications, 229, 120501.
• Shang, L., Xu, P. F., Shan, N., Tang, M. L., & Ho, G. T. S. (2023). Accelerating L 1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models. PloS one, 18(1), DOI: 10.1371/journal.pone.0279918
• Li, X. J., Tian, G. L., Zhang, M., Ho, G. T. S., & Li, S. (2023). Modeling Under-Dispersed Count Data by the Generalized Poisson Distribution via Two New MM Algorithms. Mathematics, DOI: 10.3390/math11061478

2022

• Ho, G. T. S., Choy, S. K., Tong, P. H., & Tang, V. (2022). A forecasting analytics model for assessing forecast error in e-fulfilment performance. Industrial Management & Data Systems, DOI 10.1108/IMDS-01-2022-0056
  
• 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

• Tang, Y. M., Chen, P. C., Law, K. M., Wu, C. H., Lau, Y. Y., Guan, J., He, D., & Ho, G. T. S. (2021), Comparative Analysis of Student’s Live Online Learning Readiness During the Coronavirus (COVID-19) Pandemic in the Higher Education Sector, Computers & Education, vol 168. 1-17.
  
• 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
• 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.
  
• 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
  
• Leung, K. H., Mo, D. Y., Ho, G. T. S., Wu, C. H., & Huang, G. Q. (2020). Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology. Industrial Management & Data Systems. DOI 10.1108/IMDS-12-2019-0646
• Tang, Y. M., Au, K. M., Lau, H. C. W., Ho, G. T. S., & Wu, C. H. (2020). Evaluating the effectiveness of learning design with mixed reality (MR) in higher education. Virtual Reality, 1-11.
• Mo, D. Y., Lam, H. Y., Xu, W., & Ho, G. T. S. (2020). Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services, Sustainability, vol. 12, no. 5594, DOI:10.3390/su12145594
• Leung, K. H., Lau, H. C. W., Xiang, N. D., Kong T. R., & Ho, G. T. S. (2020). Standardising fresh produce selection and grading process for improving quality assurance in perishable food supply chains: an integrated Fuzzy AHP-TOPSIS framework, Enterprise Information Systems, DOI: 10.1080/17517575.2020.1790041

2019

• Tang, V., Choy, K. L., Ho, G. T. S., Lam, H. Y., & Tsang, Y. P. (2019). An IoMT-based geriatric care management system for achieving smart health in nursing homes. Industrial Management & Data Systems, vol. 119 no. 8, pp. 1819-1840.
  
• Tsang, Y. P., Choy, K. L., Wu, C. H., Ho, G. T. S., & Lam, H. Y. (2019). Blockchain-driven IoT for food traceability with an integrated consensus mechanism. IEEE Access, 7, 129000-129017.
  
• 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.