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Yanfu Zeng

PhD student (2021 - )

Research Center for Fire Safety Engineering

Building Services Engineering

Hong Kong Polytechnic University, Hong Kong


Office: ZN 808


Mr. Yanfu Zeng is currently a PhD student of Fire Safety Engineering at the Hong Kong Polytechnic University. He received his Master’s Degree (2018) from the University of Leeds and Bachelor’s Degree (2017) from Southwest Jiaotong University. Prior to joining PolyU, Yanfu was a fire engineer in the Arup Shenzhen Office (2018-2021), where he provided consulting services of fire safety design for projects, including super high building, train station, hotel, etc. His research interests include smart firefighting and performance-based fire engineering design. 


Background of Education:

  • 2017 - 2018, M.Sc. in Fire and Explosion Engineering, University of Leeds, UK.

  • 2013 - 2017, B.Eng. in Fire Protection Engineering, Southwest Jiaotong University, China.


Research Areas:

Smart Firefighting, Performance-based Fire Engineering Design, Fire Modeling

Prizes and Awards:

  • 2019 Certificate Excellent Paper Award (9th International Conference on Fire Science and Fire Protection Engineering)

  • 2016&2017 Outstanding Scholarship (Southwest Jiaotong University)

  • 2016 Top Award of The Competition of Fire Hazard Investigation and Solution Design (Southwest Jiaotong University)

Journal Publications:

  • Y. Zeng, X. Zhang, L Su, X. Wu, X Huang (2022) Artificial Intelligence Tool for Fire Safety Design (IFETool): Demonstration in Large Open Spaces, Case Studies in Thermal Engineering, 40, 102483. doi: 10.1016/j.csite.2022.102483

  • T. Zhang, Z. Wang, Y. Zeng, X. Wu, X. Huang, F. Xiao (2022) Building Artificial-Intelligence Digital Fire (AID-Fire) System: A Real-scale Demonstration, Journal of Building Engineering, 105363. doi: 10.1016/j.jobe.2022.105363.


Conference Papers:

  • Y. Zeng, H. Wong, X. Huang, Validation and Expansion of the Temperature Field on Fire and Smoke Ceiling Jet, 2022 China National Symposium on Combustion, Shanghai, China, December 8-11, 2022. (Accepted)

  • Y. Zeng, L. Su, X. Zhang, X. Wu, X. Huang, Artificial Intelligent Method and Software for Building Fire Safety Performance-Based Design, 14th International Conference on Performance-Based Codes and Fire Safety Design Methods, March 23-25, 2022.

  • Y. Zeng, K. Hon-Leung Wong and L. Chen, Numerical Study of the Performance of Automatic Sprinkler System in Dense Equipment Room, 2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE), 2019, pp. 1-7, doi: 10.1109/ICFSFPE48751.2019.9055794.

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