Academic Staff

Brief Biosketch

Dr TSANG Yung Po (Paul) is currently a Lecturer in the Department of Industrial and Systems Engineering (ISE), The Hong Kong Polytechnic University. He received Ph.D. degree from the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University in 2020. Prior to joining the Department of ISE, he worked as a Postdoctoral Fellow in the Laboratory of Artificial Intelligence in Design at Hong Kong Science Park, Hong Kong from October 2020. Also, he was awarded the Outstanding Paper Award in the IEEE International Conference on Industrial Engineering and Engineering Management in 2023, and the Highly Commented Award and Outstanding Paper Awards of Emerald Literati Network Awards in 2019.

Research Specialties

• Data-driven and human-centered decision-making
• Blockchain, Internet of Things, and Industry 4.0 technologies
• Cold chain and e-commerce logistics management

Professional Services

• Committee Member (from 2023 to Present) of Manufacturing and Industrial Engineering Section (MIES) of The Institute of Engineering and Technology (IET) Hong Kong
• Chairman of Cold Chain Committee (in 2024), Council Member (from 2023 to 2024) and Council Associate (from 2019 to 2022) of Hong Kong Logistics Association

Selected Journal Publications

• Tsang, Y. P., Mo, D. Y., Chung, K. T., & Lee, C. K. M. (2025). A deep reinforcement learning approach for online and concurrent 3D bin packing optimisation with bin replacement strategies. Computers in Industry, 164, Article 104202. https://doi.org/10.1016/j.compind.2024.104202

• Tsang, Y. P., Wu, C. H., Ip, W. H., & Yung, K. L. (2025). A blockchain-enabled horizontal federated learning system for fuzzy invasion detection in maintaining space security. Journal of Industrial Information Integration, 43, Article 100745. https://doi.org/10.1016/j.jii.2024.100745

• Li, Y., Tsang, Y. P., Lee, C. K. M., & Han, S. (2025). Integrating neurophysiological sensing and group-based multi-criteria decision-making for fourth-party logistics platform selection. Advanced Engineering Informatics, 64, Article 102968. https://doi.org/10.1016/j.aei.2024.102968

• Tsang, Y. P., Lee, C. K. M., Wu, C. H., & Li, Y. (2024). Gamified Blockchain Education in Experiential Learning: An Analysis of Students’ Cognitive Well-Being. IEEE Transactions on Education, 67(4), 620-628. https://doi.org/10.1109/TE.2024.3395617

• Liu, H., Tsang, Y. P., & Lee, C. K. M. (2024). A cyber-physical social system for autonomous drone trajectory planning in last-mile superchilling delivery. Transportation Research Part C: Emerging Technologies, 158, Article 104448. https://doi.org/10.1016/j.trc.2023.104448

• Li, Y.L., Tsang, Y. P., Wu, C. H., & Lee, C. K. M. (2024). A Multi-Agent Digital Twin–Enabled Decision Support System for Sustainable and Resilient Supplier Management. Computers & Industrial Engineering, 187, Article 109838. https://doi.org/10.1016/j.cie.2023.109838

• Zhang, K., Lee, C. K., & Tsang, Y. P. (2024). QHB-DA: A Quantum Hybrid Blockchain-based Data Authenticity Framework for Supply Chain in Industry 4.0. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2024.3479450

• Mo, D. Y., Tsang, Y. P., Wang, Y., & Xu, W. (2024). Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand. Enterprise Information Systems, 18(2), Article 2284427. https://doi.org/10.1080/17517575.2023.2284427

• Tsang, Y. P., Wu, C. H., & Dong, N. (2023). A Federated-ANFIS for Collaborative Intrusion Detection in Securing Decentralized Autonomous Organizations. IEEE Transactions on Engineering Management, 71, 12529-12541. https://doi.org/10.1109/TEM.2023.3304409

• Tsang, Y. P., Wu, C. H., Lam, H. Y., Choy, K. L., & Ho, G. T. S. (2021). Integrating Internet of Things and multi-temperature delivery planning for perishable food E-commerce logistics: a model and application. International Journal of Production Research, 59(5), 1534-1556. https://doi.org/10.1080/00207543.2020.1841315

Selected Conference Papers

• Tsang, Y. P., Li, Y., Wong, C. Y., & Ongkunaruk, Pornthipa. (2024). Unveiling Roadblocks to ESG Compliance in Supply Chain Management. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2024, Bangkok, Thailand, 15-18 Dec 2024.

• Tsang, Y. P., Mo, D. Y., Chung, K. T., & Lee, C. K. M. (2023). Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2023, Singapore, 18-21 Dec, 2023.

• Tsang, Y. P., Li, Y. L., Lee, C. K. M., & Chen, Z. S. (2023). A Comparative Analysis of Fuzzifying the Best Worst Method. 2023 IEEE International Conference on Fuzzy Systems (FUZZ), Incheon, Republic of Korea, 13-17 Aug, 2023.