PhD Student (2023 - )
Research Centre for Fire Safety Engineering
Department of Building Environment and Energy Engineering
Hong Kong Polytechnic University, Hong Kong
Office: ZN 808
Weikang Xie is currently a PhD Candidate at the Hong Kong Polytechnic University. He received his Master’s Degree in 2022 and Bachelor’s Degree in 2018 from the China University of Petroleum. In the past, He mainly focused on the research of gas dispersion and prediction based on deep learning. His current research interest include IoT-based Temperature Monitoring and Building Smart Firefighting.
Background of Education
M.Eng. in Safety Science and Engineering, China University of Petroleum (2022)
B.Eng. in Safety Engineering, China University of Petroleum (2018)
IoT-based Temperature Monitoring and Building Smart Firefighting
Prizes and Awards
2020 Outstanding Graduate Student Scholarship, China University of Petroleum
2019 Academic Scholarship, China University of Petroleum
2017 Third Prize of National College Students Chemical Safety Design Competition
2017 Outstanding Undergraduate Student, China University of Petroleum
2015 PetroChina Scholarship
Journal Publication (English)
 W. Xie, J. Li, J. Shi, X. Zhang, A.S. Usmani, G. Chen, Probabilistic real-time natural gas jet fire consequence modeling of offshore platforms by hybrid deep learning approach, Marine Pollution Bulletin, 192 (2023) 115098.
 J. Shi, W. Xie, J. Li, X. Zhang, X. Huang, A.S. Usmani, F. Khan, G. Chen, Real-time plume tracking using transfer learning approach, Computers & Chemical Engineering, 172 (2023) 108172.
 J. Shi, W. Xie, X. Huang, F. Xiao, A.S. Usmani, F. Khan, X. Yin, G. Chen, Real-time natural gas release forecasting by using physics-guided deep learning probability model, Journal of Cleaner Production, 368 (2022) 133201.
 J. Li, W. Xie, H. Li, X. Qian, J. Shi, Z. Xie, Q. Wang, X. Zhang, G. Chen, Real-time hydrogen release and dispersion modelling of hydrogen refuelling station by using deep learning probability approach, International journal of hydrogen energy, (2023).
 H. Zhu, W. Xie, J. Li, J. Shi, M. Fu, X. Qian, H. Zhang, K. Wang, G. Chen, Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches, Sensors, 23 (2023) 2566.
Journal Publication (Chinese)
J. Shi, G. Chen, Y. Zhu, W. Xie, J. Li, Q. Wang, B. Chang, C. Li. An intelligent real-time early warning method for organic gas leakage diffusion considering uncertainty reasoning. Invention Patent [CN]. CN113962164B,2022-09-30.
 J. Shi, Y. Zhu, G. Chen, X. Yin, J. Li, S. Wang, W. Xie, Q. Wang. An intelligent visualisation monitoring device for organic hazardous chemical leakage. Invention Patent [CN]. CN113469098B,2022-08-26.
J. Shi, J. Li, Y. Zhu, W. Xie, G. Chen, X. Chen. An offshore platform oil and gas leakage explosion coupling experimental platform. Invention Patent [CN]. CN111830230A,2020-10-27.