Biography ​

Mr Zilong Wang is currently a Postdoc Fellow at the Hong Kong Polytechnic University. He received his Doctor's Degree (2024) from the Hong Kong Polytechnic University and Master’s Degree (2020) from the State Key Laboratory of Fire Science at the University of Science and Technology of China (USTC). He also got his BE (2017) from China University of Mining and Technology. His current research fields include Artificial Intelligence and Computer Vision.

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后，香港理工大学屋宇设备工程学系、消防工程研究中心博士 (2024)，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)。主要研究领域人工智能和计算机视觉。

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Education Background ​

2023 – present: Postdoc Fellow. The Hong Kong Polytechnic University, Hong Kong SAR, China

2023.04 – 2023.09: Visiting Ph.D. King's College London, England

2020 – 2023: Ph.D. The Hong Kong Polytechnic University, Hong Kong SAR, China

2017 – 2020: M. Eng. University of Science and Technology of China, Hefei, Anhui, China

2013 – 2017: B. Eng. China University of Mining and Technology, Xuzhou, Jiangsu, China

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Research Interests ​

Artificial Intelligence and Computer Vision.

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Publications

1. Wang, Z., Zhang, T., & Huang, X. Explainable deep learning for image-driven fire calorimetry. Applied Intelligence (2023) doi.org/10.1007/s10489-023-05231-x

2. Wang, Z., Ding, Y., Zhang, T., & Huang, X. Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning. Fire Safety Journal (2023) doi.org/10.1016/j.firesaf.2023.103891

3. Wang, Z., Zhang, T., & Huang, X. Predicting real-time fire heat release rate based on flame images and deep learning. Proceedings of the Combustion Institute (2022) doi.org/10. 1016/j.proci.2022.07.062

4. Wang, Z., Zhang, T.  , Wu, X., Huang, X. Predicting Transient Building Fire Based on External Smoke Images and Deep Learning. Journal of Building Engineering (2021) doi.org/10. 1016/j.jobe.2021. 103823

5. Wang, Z. , Zhang, T. , Huang, X. Numerical Modeling of Compartment Fires: Ventilation Characteristics and Limitation of Kawagoe’s Law. Fire Technology (2021) doi.org/10. 1007/s10694-022-01218- 1

6. Xiong, C., Wang, Z. *, & Huang, X. Modelling flame-to-fuel heat transfer by deep learning and fire images. Engineering Applications of Computational Fluid Mechanics (2024) doi.org/10.1080/19942060.2024.2331114

7. Chen. Y., Wang, Z. *, Lin S., Qin Y., & Huang, X. A review on biomass thermal-oxidative decomposition data and machine learning prediction of thermal analysis, Cleaner Materials (2023) doi.org/10.1016/j.clema.2023.100206.

8. Li, Y. #, Wang, Z. #, & Huang, X. An exploration of equivalent scenarios for building facade fire standard tests. Journal of Building Engineering (2022) doi.org/10. 1016/j.jobe.2022. 104399

9. Zheng, H., Wang, M., Wang, Z., & Huang, X. FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets. Knowledge-Based Systems (2024) doi.org/10.1016/j.knosys.2024.111547

10. Li, Y., Wang, Z., & Huang. Super Real-Time Forecast of Wildland Fire Spread by A Dual-Model Deep Learning Method, Journal of Environmental Informatics (2023) doi.org/10.3808/jei.202400509

11. Zhang, T., Wang, Z., Zeng, Y., Wu, X., Huang, X., & Xiao, F. Building Artificial-Intelligence Digital Fire (AID-Fire) system: A real-scale demonstration. Journal of Building Engineering (2022)                            doi.org/10.1016/j.jobe.2022.105363

12. Zhang, T., Wang, Z., Wong, H. Y., Tam, W. C., Huang, X., & Xiao, F. Real-time forecast of compartment fire and flashover based on deep learning. Fire Safety Journal (2022) doi.org/10. 1016/j.firesaf.2022. 103579

13. Xiong, C., Wang, Z., & Huang, X. Blow-off of diffusion flame by moving air vortex ring. Experimental Thermal and Fluid Science (2023) doi.org/10.1016/j.expthermflusci.2023.111059

14. Xiong, C., Wang, Z., Huang, Y., Shi, F., & Huang, X. Smart evaluation of building fire scenario and hazard by attenuation of alarm sound field. Journal of Building Engineering (2022) doi.org/10. 1016/j.jobe.2022. 104264

15. Xiong, C., Wang, Z., & Huang, X. Acoustic flame extinction by the sound wave or speaker-induced wind? Fire Safety Journal (2021) doi.org/10. 1016/j.firesaf.2021. 103479

16. Zhu, X., Jiang, Y., Wang, Z., Xiong, C., Xia, Y., & Xu, W. The numerical and experimental analysis of upward flame   spread   over   the   flat   surface   and   the   wavy   surface.   Journal   of  hazardous   materials   (2019) doi.org/10.1016/j.jhazmat.2019.01.056

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Conference Paper:

1. Wang, Z., Ding, Y., Zhang, T., & Huang, X. Automatic fire distance and power measurements driven by binocular camera and deep learning. 14th International Symposium on Fire Safety Science (2023) (Oral)

2. Wang Z., Zhang T., Huang X.Y. A method for identifying heat release rates based on fire images and artificial intelligence. China National Symposium on Combustion, Online, 09- 11 Dec 2022. [Oral].

3. Wang Z., 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].

4. Jiang  Y.  Q.,  Wang  Z.,  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. [Best paper award].

5. Zhang T., Wang Z., Huang X., Xiao F. Real-time Flashover Prediction in Compartment Fire via Computer Vision and AI. 12th Asia-Oceania Symposium on Fire Science and Technology, Online, Dec 7 - 9 2021.