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  4. Prof. Carman K.M. Lee 李嘉敏

Academic Staff

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Prof. Carman K.M. Lee
PolyU Scholars Hub

Prof. Carman K.M. Lee 李嘉敏

Associate Professor

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Brief Biosketch

Dr LEE Ka Man is currently an associate professor in the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong. She is the program leader of BSc(Hons) Enterprise Engineering with Management and BSc(Hons) Engineering Management with Data Analytics. In addition, she is the scheme leader of Intelligent Supply Chain and Engineering Management. She obtained her PhD and BEng degree from The Hong Kong Polytechnic University. Prior to join The Hong Kong Polytechnic University, she was Assistant Professors of Nanyang Technology University. Dr. Lee’s research spans a wide array of cutting-edge topics in industrial engineering, including:

  • Artificial Intelligence and Machine Learning applications in manufacturing and logistics
  • Reinforcement Learning for optimization problems such as electric vehicle charging
  • Digital Twins, Blockchain, and Quantum Computing in supply chain and industrial systems
  • Fault Diagnosis using deep learning and transfer learning techniques
  • Sustainable and Smart Manufacturing, including eco-design and cold chain logistics

She has authored over 230 peer-reviewed publications, including journal articles, conference papers, and book chapters. Her work is widely cited, reflecting her influence in both academic and applied industrial research. Dr. Lee currently serves as Associate Editor of IEEE Transactions on Consumers Electronics and Journal of Engineering Design, Senior editor of Industrial Management and Data Systems. As of now, Dr Lee has published over 230 articles in various international journals and seminars. She was awarded Silver Medal and Bronze Medal in the 47th and 49th International Exhibition of Inventions of Geneva in 2019 and 2024 respectively. She also got Outstanding Paper Award of Emerald Network Awards in 2019. Dr Lee also serves as the Lab-in-Charge of PolyU’s Cyber-Physical Systems Laboratory (https://www.polyu.edu.hk/ise/cps/us/index.html).

Dr. Lee is the fellow of Institute of Higher Education, a member of the Research Institute for Advanced Manufacturing (RIAM) and the Research Centre for Digital Transformation of Textile and Apparel (RCDTT), under the PolyU Academy for Interdisciplinary Research. She was the chairlady of IET MIES HK Chapter in 2019-2020, and senior member of IEEE. She is recognized for her interdisciplinary approach, combining engineering, data science, and decision analytics to address complex challenges in modern industrial systems.

 

Selected PhD students' project:

  • ZHANG Shuzhu, Modeling green logistics activities for sustainable development using swarm intelligence, 2012-2016
  • LIU Chengli, Study of behavioral operations in dual-channel supply chain, 2015-2018
  • NG Kam Hung, Modelling Airside operations in Terminal Manoeuvring Area with Metaheuristics Approach, 2015-2019
  • KEUNG Kin Lok, Designing Computational Intelligence and Data-Driven Cyber-Physical Approach for Robotic Mobile Fulfillment System, 2018-2021
  • Zhao Zhonghao, Intelligent Planning and Operation for Electric Vehicle Charging Networks, , 2021-2024

 

Professional Services

  • Chairman of IET MIES Hong Kong Network in 2019-2020
  • IEEE Technology Management Society Hong Kong Chapter (from 2013 to current)
  • Treasurer of IET Singapore Network in 2011-2012
  • Secretary of IEEE Technology Management Council Singapore Chapter from 2011-2012

 

Selected Publications

  1. H. Liu, Y. P. Tsang, C. K. M. Lee, C. H. Wu and K. L. Yung, (2025) Optimizing UAV Flocks for Emergency Response in Post-Disaster Industrial Zones," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2025.3608299
  2. M. Geda, Y. M. Tang and C. K. M. Lee, (2025) Intelligent Group Recommendations for Metaverse E-commerce Platforms for Enhanced Retail and Consumer Experiences," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2025.3608286.
  3. Zhao, Z., Lee, C. K., Tsang, Y. P., & Xu, X. (2025). A heuristic-attention method for location-routing problems with shared pick-up stations in green last-mile delivery. Transportation Research Part C: Emerging Technologies, 172, 105031.
  4. K. Zhang, C. K. M. Lee and Y. P. Tsang, (2024) QHB-DA: A Quantum Hybrid Blockchain-Based Data Authenticity Framework for Supply Chain in Industry 4.0," in IEEE Internet of Things Journal, vol. 12, no. 3, pp. 3202-3218,
  5. 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, 104448.
  6. Lee, C. K. M., Ng, C. K., Chung, S. Y., & Keung, K. L. (2023). Cloud-based cyber-physical logistics system with nested MAX-MIN ant algorithm for e-commerce logistics. Expert Systems with Applications, 211, 118643.
  7. Zhao, Z., Lee, C. K., & Huo, J. (2023). EV charging station deployment on coupled transportation and power distribution networks via reinforcement learning. Energy, 267, 126555.
  8. Z. Zhao, C. K. M. Lee, J. Ren and Y. P. Tsang, (2022) Optimal EV Fast Charging Station Deployment Based on a Reinforcement Learning Framework," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 8, pp. 8053-8065, Aug. 2023, doi: 10.1109/TITS.2023.3265517.
  9. Liu, C., Lee, C. K. M., & Zhang, L. L. (2022). Pricing strategy in a dual-channel supply chain with overconfident consumers. Computers & Industrial Engineering, 172, 108515.
  10. Lee, C. K., Ng, K. K., Chen, C. H., Lau, H. C., Chung, S. Y., & Tsoi, T. (2021). American sign language recognition and training method with recurrent neural network. Expert Systems with Applications, 167, 114403.
  11. Zhang, L. L., Lee, C. K., & Akhtar, P. (2020). Towards customization: Evaluation of integrated sales, product, and production configuration. International Journal of Production Economics, 107775.
  12. Ren, S., Choi, T. M., Lee, K. M., & Lin, L. (2020). Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach. Transportation Research Part E: Logistics and Transportation Review, 134, 101834.
  13. Ng, K. K. H., Lee, C. K. M., Chan, F. T., Chen, C. H., & Qin, Y. (2020). A two-stage robust optimisation for terminal traffic flow problem. Applied Soft Computing, 106048.
  14. Lee, C. K. M., Huo, Y. Z., Zhang, S. Z., & Ng, K. K. H. (2020). Design of a Smart Manufacturing System With the Application of Multi-Access Edge Computing and Blockchain Technology. IEEE Access, 8, 28659-28667.
  15. Lee, C. K. M., Lin, B., Ng, K. K. H., Lv, Y., & Tai, W. C. (2019). Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration. Advanced Engineering Informatics, 42, 100998.
  16. Niu, B., Xu, J., Lee, C. K., & Chen, L. (2019). Order timing and tax planning when selling to a rival in a low-tax emerging market. Transportation Research Part E: Logistics and Transportation Review, 123, 165-179.
  17. Hong, Z., Lee, C.K.M. and Zhang, L. (2018). Procurement risk management under uncertainty: a review. Industrial Management & Data Systems, 118 (7), 1547-1574.
  18. Lee, C. K. M., Lv, Y., Ng, K. K. H., Ho, W., & Choy, K. L. (2018). Design and application of Internet of things-based warehouse management system for smart logistics. International Journal of Production Research, 56(8), 2753-2768.
  19. Ng, K. K. H., Lee, C. K. M., Chan, F. T., & Qin, Y. (2017). Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach. Transportation Research Part E: Logistics and Transportation Review, 106, 115-136.
  20. Lee, C. K. M., Mitrea, C., Ip, W. H., Choy, K. L., & Ho, G. T. (2017). Design and development of inventory knowledge discovery system. Enterprise Information Systems, 11(8), 1262-1282.
  21. Ng, K. K. H., Lee, C. K. M., Zhang, S. Z., Wu, K., & Ho, W. (2017). A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion. Computers & Industrial Engineering, 109, 151-168.
  22. CKM Lee, CL Yueng, ZR Xiong, SH Chung (2016) A mathematical model for municipal solid waste management-A case study in Hong Kong, Waste Management, Vol 58, p430-441.
  23. CKM Lee, CL Yeung, Chole Tan, KL Choy and WH Ip, (2015) Analyze the healthcare service requirement using fuzzy QFD, Computers in Industry, Vol 74, pp1-15.
  24. Chang, D., Lee, C. K. M. & Chen, C.-H. (2014). 'Review of life cycle assessment towards sustainable product development', Journal of Cleaner Production, 83, 48-60.
  25. Lv, Y.; Lee, C.K.M; Wu, Z.; Chan, H.K. & Ip, W.H. (2013), 'Priority-Based Distributed Manufacturing Process Modeling via Hierarchical Timed Color Petri Net', Industrial Informatics, IEEE Transactions on 9(4), 1836-1846
  26. Lee, C.K.M Yeung YC and Zhen Hong (2012) An integrated framework for outsourcing risk management. Industrial Management & Data Systems 112, 541-558.
  27. Lee, CKM and Lam, Jasmine Siu Lee (2012) Managing reverse logistics to enhance sustainability of industrial marketing. Industrial Marketing Management, Vol. 41, No. 4, pp.589-598
  28. Zhang, X., Lee, C.K.M. and Chen, S. (2012) Supplier evaluation and selection: A hybrid model based on DEAHP and ABC. International Journal of Production Research 50, 1877-1889.
  29. Yang, M., Wu, Z., Lee, K.M. and Khoo, M.B.C. (2012) The X control chart for monitoring process shifts in mean and variance. International Journal of Production Research 50, 893-907.
  30. Lee, C.K.M., Ho, W., Ho, G.T.S. and Lau, H.C.W. (2011) Design and development of logistics workflow systems for demand management with RFID. Expert Systems with Applications 38, 5428-5437.
  31. Lin Danping. and Lee, C.K.M. (2011) A review of the research methodology for the re-entrant scheduling problem. International Journal of Production Research 49, 2221-2242.
  32. Yaqiong, Lv, CKM Lee and W. Zhang, (2011) Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification. Engineering Applications of Artificial Intelligence 24, 266-277.
  33. Ou, Y., Wu, Z., Chen, S. and Lee, K.M. (2010) An improved SPRT control chart for monitoring process mean. International Journal of Advanced Manufacturing Technology 51, 1045-1054.
  34. Zhang, L.L., Lee, C.K.M. and Xu, Q. (2010) Towards product customization: An integrated order fulfillment system. Computers in Industry 61, 213-222.
  35. Ho, W., Lee, Carman Ka Man and Ho G.T.S. (2010) Multiple criteria optimization of contemporary logistics distribution network problems. OR Insight, 23, 27-43.
  36. Ho, G.T.S., Lau, H.C.W., Kwok, S.K., Lee, C.K.M. and Ho, W. (2009) Development of a co-operative distributed process mining system for quality assurance. International Journal of Production Research 47, 883-918.
  37. Lee, C.K.M., Lau, H.C.W., Ho, G.T.S. and Ho, W. (2009) Design and development of agent-based procurement system to enhance business intelligence. Expert Systems with Applications 36, 877-884.
  38. Lau, H.C.W., Tang, C.X.H., Leung, B.P.K., Lee, C.K.M. and Ho, G.T.S. (2009) A performance tradeoff function for evaluating suggested parameters in the reactive ion etching process. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans 39, 933-938.
  39. Lau, H.C.W., Ho, G.T.S., Chu, K.F., Ho, W. and Lee, C.K.M. (2009) Development of an intelligent quality management system using fuzzy association rules. Expert Systems with Applications 36, 1801-1815.
  40. Lee, C.K.M. and Chan, T.M. (2009) Development of RFID-based Reverse Logistics System. Expert Systems with Applications 36, 9299-9307.

Book Chapters

  • William Ho and C.K.M. Lee (2007) Demand Forecasting in Logistics: Analytic Hierarchy Process and Genetic Algorithm-Based Multiple Regression Analysis, Logistics Engineering Handbook, 131-147, ISBN 084933053X
  • Shaligram Pokharel, C.K.M. Lee, (2009)Analyzing the use of information systems in logistics industry, Information systems research methods, epistemology, and applications, 225-246, ISBN: 9781605660400, Hershey, PA : Information Science Reference
  • CKM Lee and Shaligram, Pokhareal, Benjamin, Ng, (2011) Managing uncertain inventory in supply chain with Neural Network and Radio Frequency Identification (RFID), Supply Chain Innovation for competing in Highly Dynamic markets, Challenges and Solution, Edited by Pietro Evangelista, Ala,Mckinnon, Edward Sweeney & Emilio Esposito, IGI Global, p137-354 ISBN: 987-1-60960-585-8
  • Lixing Yang, CKM Lee (2012) Adoption of Genetic Algorithm for Cross-Docking Scheduling with Time Window,  H. K. Chan et al. (eds.), Decision-Making for Supply Chain Integration, Decision Engineering 1, Springer-Verlag London, p1-22

 

 

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