Academic Staff

 

Brief Biosketch

Dr. Wei WU is currently a Research Assistant Professor in the Department of Industrial and Systems Engineering (ISE) at The Hong Kong Polytechnic University. He received PhD degree and MSc degree (Distinction) from the Department of Industrial and Manufacturing Systems Engineering at The University of Hong Kong in 2022 and 2018, respectively. He received the B.Eng. degree from the Department of Vehicle Engineering at Hunan University in 2017. Prior to joining the ISE, he was a Research Assistant Professor in the College of Mechanical and Vehicle Engineering at Chongqing University. His research interests include smart factory, digital twin, cyber-physical systems, spatial-temporal analytics, industrial artificial intelligence and etc. He has published a series of research papers on leading international journals including IEEE (TII, IoT, TIM), R&CIM, IJPE, JMS, JIII, AEI, CII, CIE, and etc. He also obtained fruitful experiences in conducting research projects and enterprise projects in the field of smart manufacturing and logistics. 

 

Research Interests

• Industrial cyber-physical systems
• Spatial-temporal awareness and analytics
• Anomaly detection
• Industrial artificial intelligence
• Smart factory

 

Selected Journal Publications

1. Wu, W., Zhou, D., Shen, L., Zhao, Z., Li, C., & Huang, G. (2025). TransAoA: Transformer-based Angle of Arrival Estimation for BLE Indoor Localization. IEEE Transactions on Instrumentation and Measurement.
2. Wu, W., Shen, L., Zhao, Z., Li, M., & Huang, G. Q. (2022). Industrial IoT and long short-term memory network-enabled genetic indoor-tracking for factory logistics. IEEE Transactions on Industrial Informatics, 18(11), 7537-7548.
3. Zhao, Z., Zhang, M., Wu, W., Huang, G. Q., & Wang, L. (2024). Spatial-temporal traceability for cyber-physical industry 4.0 systems. Journal of Manufacturing Systems, 74, 16-29.
4. Wu, W., Shen, L., Zhao, Z., Harish, A. R., Zhong, R. Y., & Huang, G. Q. (2023). Internet of everything and digital twin enabled service platform for cold chain logistics. Journal of Industrial Information Integration, 33, 100443.
5. Wu, W., Chen, W., Fu, Y., Jiang, Y., & Huang, G. Q. (2022). Unsupervised neural network-enabled spatial- temporal analytics for data authenticity under environmental smart reporting system. Computers in Industry, 141, 103700.
6. Harish, A. R., Wu, W., Li, M., & Huang, G. Q. (2023). Blockchain-enabled digital asset tokenization for crowdsensing in environmental, social, and governance disclosure. Computers & Industrial Engineering, 185, 109664.
7. Wu, W., Zhao, Z., Shen, L., Kong, X. T., Guo, D., Zhong, R. Y., & Huang, G. Q. (2022). Just Trolley: Implementation of industrial IoT and digital twin-enabled spatial-temporal traceability and visibility for finished goods logistics. Advanced Engineering Informatics, 52, 101571.
8. Wu, W., Fu, Y., Wang, Z., Liu, X., Niu, Y., Li, B., & Huang, G. Q. (2022). Consortium blockchain-enabled smart ESG reporting platform with token-based incentives for corporate crowdsensing. Computers & Industrial Engineering, 172, 108456.
9. Zhan, X., Wu, W.*, Shen, L., Liao, W., Zhao, Z., & Xia, J. (2022). Industrial internet of things and unsupervised deep learning enabled real-time occupational safety monitoring in cold storage warehouse. Safety science, 152, 105766.
10. Chen, W., Wu, W., Ouyang, Z., Fu, Y., Li, M., & Huang, G. Q. (2024). Event-based data authenticity analytics for IoT and blockchain-enabled ESG disclosure. Computers & Industrial Engineering, 190, 109992.