Zilong Wang

PhD student (2020-)

Department of Building Services Engineering,

Research Centre for Fire Engineering,

The Hong Kong Polytechnic University,

Hung Hom, Kowloon, Hong Kong

Office: ZN 808

Email: zilong.wang@connect.polyu.hk

Biography 

Mr Zilong Wang is currently a PhD student at the Hong Kong Polytechnic University. He received his Master’s Degree (2020) from the State Key Laboratory of Fire Science at the University of Science and Technology of China (USTC), where he performed studies on accident scenario evolution and emergency decision support based on artificial intelligence. He also got his BE (2017) from China University of Mining and Technology. His current research fields include Smart Firefighting and Fire Numerical Simulation.

王自龙,香港理工大学屋宇设备工程学系、消防工程研究中心博士研究生,中国科学技术大学火灾科学国家重点实验室硕士 (2020),中国矿业大学学士 (2017)。主要研究领域涉及智慧消防和火灾数值模拟。

Education Background 
B.Eng. in Safety Engineering, China University of Mining and Technology (2017). 

M.Eng. in State Key Laboratory of Fire Science, University of Science and Technology of China (2020).

Research Interests 

Smart firefighting and Fire Numerical Simulation

Publications

  1. Wang Z. L., Jiang Y (2020). Domino effect scenario deduction in a tank farm fire, Fire Safety Science (in Chinese) .

  2. Wang Z. L., Jiang Y (2020). Emergency resources demand prediction in chemical industry park based on Case-based Reasoning, Fire Safety Science (in Chinese) .

  3. Zhu X. L., Jiang Y., Wang Z. L., Xiong C. Y., et al (2019). The numerical and experimental analysis of upward flame spread over the flat surface and the wavy surface. Journal of Hazardous Materials.

Conference Paper:

  1. Wang Z. L., Jiang Y. Dynamic risk assessment of tank fire under thermal radiation. China National Symposium on Combustion, Tianjin, China, 24-27 Oct 2019. [Poster].

  2. Wang Z. L., Wu X. Q., Huang X.Y. Pool fire scene prediction model based on deep learning. China National Symposium on Combustion, Xiamen, China, 12-15 Nov 2020. [Poster].

  3. Jiang Y. Q., Wang Z. L., Huang X.Y. Artificial intelligence based facade spilled flame temperature field prediction. The 2nd National Thermal Safety Science and Technology Symposium, Hefei, China, 09-10 Jan 2021. [Submitted].

©2020 by PolyU Fire Lab.