Academic Staff

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Ray Y. Zhong

Associate Professor
Email:

[javascript protected email address]

Tel:

3917 7966

Office:

HW 8-6

Biography

Ray Y. ZHONG (Runyang ZHONG) is an Associate Professor at the Department of Data and Systems Engineering, The University of Hong Kong (HKU). He has an interdisciplinary education background in Computer Science and Technology (BSc), Digital Signal Processing (MSc), and Industrial Engineering (PhD). Before joining HKU, he was a lecturer in Department of Mechanical Engineering, University of Auckland, New Zealand. Since joining HKU in January 2019, Ray won over HK$ 20 million external peer-reviewed competitive grants from Research Grants Council (RGC), the Innovation and Technology Commission (ITC) of Hong Kong, Public Policy Research (PPR) Funding Scheme, Environment and Conservation Fund, etc.

Ray is one of well-known leading researchers in systems analytics with the following research fields: 2nd in Construction Informatics, 7th in Manufacturing Systems, 20th in Big Data Analytics from Google Scholar. He authored over 270 peer-reviewed journal and conference papers with total citation from Google Scholar is over 18,500 (H-index: 64, i10-index: 180), and is one of the HKU researchers ranked by Clarivate Analytics in the top 1% worldwide by citations since 2019.

Ray is an active member in the professional societies in the above two research fields, such as IEEE Senior Member, Members of ASME, IET, HKIE, and LSCM HK. He also serves as Area Editor and Associate Editors for some leading journals, such as Computers & Industrial Engineering, International Journal of Computer Integrated Manufacturing, and International Journal of Manufacturing Research. He has gained several awards from his contributions and leadership in the above research fields, such as the High-impact Paper Award from Engineering.

Research Interests

  • Manufacturing Systems
  • Big Data Analytics
  • Construction Informatics
  • Construction Analytics

Editor & Editorial Board Membership

  • Area Editor, Computers & Industrial Engineering
  • Associate Editor, International Journal of Computer Integrated Manufacturing
  • Associate Editor, International Journal of Manufacturing Research
  • Associate Editor, International Journal of Internet Manufacturing and Services

Selected Publications

  • Besklubova, S., Kravchenko, E., Kasprzhitskii, A., Lazorenko, G., & Zhong, R. Y. (2026). Establishing a Market for Carbon-Neutral Technology in Concrete Waste Recycling by Sequestering Flue CO 2: An Evolutionary Game Theory–Based Case Study in Hong Kong. Journal of Construction Engineering and Management, 152(4), 04026017.
  • Besklubova, S., Li, Y., Raza, M. H., & Zhong, R. Y. (2025). Natural Language Processing and Social Network Analysis based Framework for Falling Accidents at Construction Sites. Digital Engineering, 100081.
  • Besklubova, S., Zhong, R. Y., & Tan, B. Q. (2025). An integrated model of a prefabrication hub feasibility assessment: A Hong Kong case. International Journal of Construction Management, 25(11), 1300–1312.
  • Chen, W., Fu, Y., Li, M., Huang, G. Q., & Zhong, R. Y. (2025). Petri net-based data authenticity analytics for ESG disclosure. Computers & Industrial Engineering, 111691.
  • Ding, H., Zhong, R. Y., Li, M., & Huang, G. Q. (2025). Out-of-Order synchronization for off-site fit-out in smart prefabrication yard. Automation in Construction, 177, 106355.
  • Guo, X., Li, Y., Cui, S., & Zhong, R. Y. (2026). Digital twin-enabled cooperative autonomous truck platooning framework for modeling, cost estimation, and decision-making in transportation systems. Transportation Research Part E: Logistics and Transportation Review, 207, 104596.
  • Li, Q., Jiang, Y., Zhong, R. Y., & Cao, X. (2025). FedG 3 FA: Three-Stage GAN-Aided Target Feature Alignment for Secure Data Sharing in Federated Learning System. IEEE Transactions on Information Forensics and Security. 9806-9817. 10.1109/TIFS.2025.3609664
  • Li, Y., Liu, J., Du, X., & Zhong, R. Y. (2025). Creating Value from Data Resources: Research on a Service Ecosystem Symbiosis Model of Digital Transportation Infrastructure. Journal of Construction Engineering and Management, 151(9), 05025009.
  • Liang, Z., Zhong, R. Y., & Jiang, Y. (2025). VR-enabled Digital System in Rural Construction with Sustainability Evaluation. Digital Engineering, 100066.
  • Liao, X., Zhang, J., Wang, J., Lyu, Y., Zhong, R. Y., & Zhang, Q. (2026). Evidential feature differentiated learning for trustworthy recognition of mixed-type defects in wafer maps. International Journal of Production Research, 1–21.
  • Raza, M. H., Kravchenko, E., Besklubova, S., Lazorenko, G., Markelov, M., Kasprzhitskii, A., & Zhong, R. Y. (2025). 3D printing of recycled materials for sustainable construction: A comprehensive economic and life cycle assessment. Renewable and Sustainable Energy Reviews, 223, 116059.
  • Su, S., Yang, Y., Besklubova, S., Song, J., Kong, X. T., & Zhong, R. Y. (2025). Digital Twin-Enabled Reverse Supply Chain for Building Demolition Waste Management. Computers & Industrial Engineering, 111605.
  • Tan, B. Q., Kang, K., & Zhong, R. Y. (2026). When to use large language models for digital manufacturing in supply chains? International Journal of Production Economics, 109932.
  • Xu, Y., Peng, T., Zhong, R. Y., & Lim, K. (2026). An intelligent fault diagnosis approach for construction machinery hydraulic systems based on knowledge graph. Advanced Engineering Informatics, 71, 104360.
  • Yu, C., Yu, Y., Zhong, R. Y., & Li, M. (2025). Cross-block asynchronous blockchain: a new paradigm for enhanced blockchain performance. Advanced Engineering Informatics, 67, 103563.
  • Zhao, S., Liu, S., Jiang, Y., Zhao, B., Lv, Y., Zhang, J., Wang, L., & Zhong, R. Y. (2025). Industrial foundation models (IFMs) for intelligent manufacturing: A systematic review. Journal of Manufacturing Systems, 82, 420–448.
  • Zhao, S., Yu, C., & Zhong, R. Y. (2025). Digital twin-enabled anti-collision system for smart construction sites. Smart Construction, 2(3), 1–25.
  • Zhao, S., Zhang, G., Liu, S., Zhang, J., Bandara, H. D., Zhong, R. Y., & Wang, L. (2025). Interpretable Verification Mechanism for Trustworthy Industrial Large Model in Intelligent Manufacturing. Engineering.

More latest publications refer to: https://scholar.google.com/citations?user=KfDl2DIAAAAJ&hl=en&oi=ao