Biography

Dr. Tianhang Zhang is currently a postdoc fellow in Research Centre for Smart Urban Resilience and Firefighting. He received his PhD Degree (2023) from the Hong Kong Polytechnic University, Master’s (2020) Degree from Zhejiang University and bachelor’s Degree (2017) from Zhejiang University. His research interest covers Fire Dynamics and Smart Firefighting.

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Background of Education

1. 2020 - 2023, Ph.D., Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University.

2. 2017 - 2020, M.Eng., College of Civil Engineering and Architecture, Zhejiang University.

3. 2013 - 2017, B.Eng., College of Civil Engineering and Architecture, Zhejiang University.

 

Research Areas

Smart Firefighting, Compartment Fire, Tunnel Fire.

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Prizes and Awards​

• 2025 Best Paper Award at 11th ISTSS (International Symposium on Tunnel Safety and Security)

• 2025 Best Poster Award at 11th ISTSS (International Symposium on Tunnel Safety and Security)

• 2023 Best Presentation Award at 3rd Digital Twin International Conference

• 2022 Outstanding Master thesis of China Highway and Transportation Society

• 2022 SFPE Grand Challenge Initiative Fellowship

• 2021 Best Paper Award at 9th ISTSS (International Symposium on Tunnel Safety and Security)

• 2020 Hong Kong PhD Fellowship Scheme, Research Grants Council (RGC) of Hong Kong

• 2018 National Scholarship, Ministry of Education of the People's Republic of China

• 2017 Outstanding Graduate of Zhejiang Province, Education Department of Zhejiang Province

• 2016 National Scholarship, Ministry of Education of the People's Republic of China

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10 Selected Publications

1. T. Zhang, G. Wang, K. Wu*, L. Wang* et al. (2024). Modelling the maximum ceiling temperature with bifurcated plume in tunnel fires. Fire Safety Journal. 2024.104249

2. T. Zhang, F. Ding, Z. Wang, C. X. Lu, X. Huang*, F. Xiao (2023) Forecasting Backdraft with Multimodal Method: Fusion of Fire Image and Sensor Data. Engineering Application of Artificial Intelligence. 2024.107939

3. T. Zhang, Z. Wang, Y. Zeng, X. Huang*, et al., (2022) Building Artificial-Intelligence Digital Fire (AID-Fire) System: A Real-scale Demonstration. Journal of Building Engineering. 2022.105363 

4. T. Zhang, Z. Wang, H. Y. Wong, W. C. Tam, X. Huang*,et al. (2022) Real-time Forecast of Flashover based on Deep Learning Method in a Reduced-Scale Compartment Fire. Fire Safety Journal. 2022.103579

5. H. Sun, P. Hu, K. Zhu, Q. He, K. Wu*, T. Zhang*. (2026) An Inverse Generative Framework for Evacuation Risk Mitigation in Multi-exit Buildings with Complex Layout. Reliability Engineering & System Safety. 2026.113178

6. H. Sun, M. Chen, Y. Zhang, T. Zhang*, et al. (2026) EvacuNet: An Intelligent Decision Support Framework for Real-time Evacuation Assessment in Complex Buildings. Expert Systems with Applications. 2026.132898

7. H. Sun, Y. Ding, R. Fan, Y. Zhang, T. Zhang*, X. Huang, K. Wu* (2026). Deep learning-driven digital twin system for pedestrian tracking and evacuation load assessment in public spaces. Engineering Application of Artificial Intelligence. 2026.107500

8. Z. Wang, T. Zhang*, X. Huang*, (2022) Predicting Real-time Fire Heat Release Rate based on Flame Images and Deep Learning. Proceedings of the Combustion Institute. 2022.07.062 

9. A. A. Khan*, T. Zhang*, X. Huang*, A. Usmani. (2023) Machine Learning Driven Smart Building Fire Safety Design of False Ceiling and Emergency Response. Process Safety and Environmental Protection. 2023.07.068

10. Y. Jiang#, T. Zhang#, S. Liu, X. Huang*, et al. (2022) Full-scale fire tests in the underwater tunnel section model with sidewall smoke extraction. Tunnelling and Underground Space Technology. 2022.104374 

 

Conference:

1. Zhang T., Wang G., Huang Y.. et al., Experimental study of Backlayering Length and Critical Velocity in a Longitudinally Ventilated Tunnel with Wide-shallow Cross-section, 9th International Symposium on Tunnel Safety and Security, Online, May 2021 [Oral]

2. Zhang T., Wang Z., Huang X., Xiao F., Real-time Flashover Prediction in Compartment Fire via Computer Vision and AI. . Online, Dec 7 - 9 2021 [Oral]

3. Zhang T., Wang Z., Huang X., Smart Prediction of Backdraft in Compartment Fire with Deep Learning. 39th International Symposium on Combustion, Vancouver, Canada, 25-29 Jul 2022. [Poster]

4. Zhang T., Wang Z., Zeng Y., Huang X., Smart Fire Monitoring System for High-Risk Facilities. SFPE 2022 Performance-Based Design Virtual Conference & Expo, Online, 23 - 25 March 2022  [Poster]

5. Zhang T., Wang Z., Huang X., Predicting the Development of Compartment Fire with Deep Learning. Chinese National Combustion Conference, online, 14 - 16 Jan 2022 [Poster]

6. Zhang T., Wang Z., Huang X., Xiao F.. Prediction of Flashover in Compartment Fire via Computer Vision and AI. 38th International Symposium on Combustion, online, 24-29 Jan 2021. [Poster]

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Patents:

• Huang X., Zhang T., Wu X., et al., A system, device and method to collect the real-time 3D data from the fire scene, China Patent, Ref. No. 348710306.

• Wu K, Zhang T, Yin M et al. A fire tests system of underground traffic turning region. CN109712501A [P]. 2019.(Substantive examination)

• Wu K, Zhang T, Qian D et al. An experimental facility for fog penetration characteristic measure of light. CN107782532A [P]. 2018.(authorized)

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（Last updated on 3/09/2026)