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Dr ZHONG, Ray

Assistant Professor
Department of Industrial and Manufacturing Systems Engineering
The University of Hong Kong

zhongzry@hku.hk  (852) 3917 7966
 Room 8-6, Haking Wong Building, Department of Industrial and Manufacturing Systems Engineering

About Me

Dr. Ray Y. Zhong (Runyang Zhong) is an Assistant Professor in The Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong. He was a lecturer in The Department of Mechanical Engineering, University of Auckland, New Zealand from 2016-2019. Ray gained his M.Phil. and Ph.D. in Signal & Information Processing and Industrial & Manufacturing Systems Engineering from the Guangdong University of Technology (China) and The University of Hong Kong (Hong Kong) respectively. His research interests include Internet of Things (IoT)-enabled manufacturing, Big Data in manufacturing & SCM and data-driven APS. He has published over 160 papers in international journals and conferences. Ray serve as editorial boards and guest editors for several well-known international journals: International Journal of Production Economics, Computers & Industrial Engineering: An International Journal, International Journal of Computer-Integrated Manufacturing, etc. In addition, he has participated in a set of projects sponsored by the National R&D department, HK ITF and HKU. He is a member of HKIE, ASME (USA), IET (UK), IEEE (USA) and LSCM HK.

Ray was awarded the 2018 IJPR Best Paper with the title of “”Big Data Analytics for Physical Internet-based intelligent manufacturing shop floor””, Best Conference Paper Award with the title of “”Analysis of RFID Datasets for Smart Manufacturing Shop Floors”” in 15th IEEE International Conference on Networking, Sensing and Control, New Zealand Chinese Youth Scientist Award (NZCYSA) 2017 and the Young Author Prize in the 15th IFAC/IEEE/IFIP/IFORS Symposium on Information Control Problems in Manufacturing.

 

Research Interests
Smart Prefabrication Construction Supply Chain Management; Internet of Things (IoT)-enabled Manufacturing; Big Data Analytics for Manufacturing