Biography

Mr. Tong Lu is currently a PhD student at The Hong Kong Polytechnic University. He received his bachelor's degree from Southwest Jiaotong University in 2021, and master's degrees from Central South University in 2024, respectively. His research focuses include mass pedestrian dynamics and emergency management.

​

​

Background of Education

• 2024 - Present, Ph.D., Dept. of Building Environment and Energy Engineering, The Hong Kong Polytechnic University

• 2021 - 2024, M. Eng. Engineering in Fire Engineering, Central South University.

• 2016 - 2020, B. Eng. Engineering in Fire Protection Engineering, Southwest Jiaotong University.

 

​

Research Areas

Pedestrian Dynamics, Pedestrian Evacuation, Numerical Simulation.

​

Prizes and Awards

• 2023 National Scholarship for Graduate Students.

• 2023 Outstanding Student of Central South University (CSU)

• 2023 Cai Tian Swan Zhu Scholarship, Central South University (CSU)

​​​​

​​

Journal Publications

1. T. Lu, Y. Zhang*, X. Wu, W. Xiong, X. Huang*, Predicting underground pedestrian evacuation via spatiotemporal GNN in multi-level transportation infrastructure. Tunnelling and Underground Space Technology. (Under review)

2. T. Lu, Y. Ding, Y. Zhang*, W. Xie, X. Huang*, A review of artificial intelligence in pedestrian evacuation safety: applications, challenges, and future LLM–XAI ecosystems. Advanced Engineering Informatics 76 (2026) 105080. https://doi.org/10.1016/J.AEI.2026.105080.

3. T. Lu, R. Deng, Y. Zhang*, S. Ding, X. Huang*, An extended cellular automaton model for crowd evacuation under multi-storey building with ControlNet, Journal of Building Engineering 120 (2026) 115441. https://doi.org/10.1016/J.JOBE.2026.115441.

4. T. Lu, S. Ding, Y. Zhang*, R. Deng, X. Huang*, ChatEvac: An End-to-end automation assessment for building evacuation safety based on LLMs and Diffusion model, Engineering Applications of Artificial Intelligence. (Under review)

5. T. Lu, Y. Zhang*, W. Xie, X. Huang*, Human-AI interactive framework for smart evacuation safety analysis in large infrastructures, Reliability Engineering & System Safety 266 (2026) 111695. https://doi.org/10.1016/j.ress.2025.111695.

6. T. Lu, Y. Zeng, Z. Zheng, Y. Zhang*, X. Huang*, X. Lu, AI-powered safe egress time assessment for complex building fire evacuation, Journal of Building Engineering 110 (2025) 113013. https://doi.org /10.1016/j.jobe.2025.113013.

7. T. Lu, Y. Zhang, X. Huang* (2026) AI-Powered Smart Evacuation, Artificial Intelligence in Safety Science and Engineering. In X. Huang, J. Shi and M. Yang (eds), Elsevier, Chapter 7, 153–182. https://doi.org/10.1016/B978-0-443-36342-9.00009-8.

8. C. Chen*, T. Lu. An extended model for crowded evacuation considering stampede on inclined staircases. Simulation Modelling Practice and Theory 135 (2024) 102978. https://doi.org/10.1016/j.simpat.2024. 102978.

9. C. Chen*, T. Lu, W. Jiao, et al. An extended model for crowd evacuation considering crowding and stampede effects under the internal crushing. Physica A: Statistical Mechanics and its Applications 625 (2023) 129002. https://doi.org/10.1016/j.physa.2023.129002.

10. C. Chen*, T. Lu, Y. Zhang, et al. Experimental study on temperature profile and critical velocity in bifurcated tunnel fire with inclined transverse cross-passage. International Journal of Thermal Sciences 186 (2023) 108120. https://doi.org/10.1016/j.ijthermalsci.2022.108120.

​​

​

​​（Last updated on 10/08/2026)​

​​