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Xiaoning Zhang

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Postdoc Fellow (2024 - )

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Research Center for Fire Safety Engineering

Building Services Engineering

Hong Kong Polytechnic University, Hong Kong

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Email: xiaon.zhang@connect.polyu.hk

Office: ZN 808

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Biography:

Dr. Xiaoning Zhang is currently a Research Associate (Postdoc) at PolyU. Interested and familiar with Artificial Intelligence of Things (AIoT), Digital Twin, Computer Vision, Fire Dynamics, and Numerical fire simulation.

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Background of Education:

  • B.Eng. in Safety Engineering, China University of Petroleum (2015 - 2019)

  • MSc in Fire and Safety Engineering, HK PolyU (2019 - 2020)

  • PhD, Research Centre for Fire Safety Engineering, HK PolyU (2020 - 2024)

  • Visiting PhD student, Lund University (2023)

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Research Areas:

Digital Twin, Machine Learning, Smart Firefighting, Tunnel Fire and Fire Modelling

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Publications:

Journal Paper:

  1. X. Zhang, X. Chen, Y. Ding, Y. Zhang, Z. Wang, J. Shi, N. Johansson, X. Huang (2024). Smart real-time evaluation of tunnel fire risk and evacuation safety via computer vision. Safety Science (accepted)

  2. X. Zhang, Y. Jiang, X. Wu, Z. Nan, J. Shi, Y. Zhang, X. Huang, G. Huang (2023). AIoT-enabled Digital Twin System for Smart Tunnel Fire Safety Management. Advanced Engineering Informatics (Under review). 

  3. X. Zhang, X. Wu, X. Huang (2022). Smart real-time forecast of transient tunnel fires by a dual-agent deep learning model. Tunnelling and Underground Space Technology, 129, 104631.

  4. W. Xie, X. Zhang, J. Shi, X. Huang, et al. (2024). Real-time spatiotemporal forecast of natural gas jet fire from offshore platform by using deep probability learning. Ocean Engineering, 116658.

  5. Y. Zeng#, X. Zhang#, L. Su, X. Wu, X. Huang (2022). An Artificial Intelligence Software (IFETool) for Building Fire Safety Analysis and Performance-Based Design. Case Studies in Thermal Engineering, 40, 102483.

  6.  Y. Zhang, X. Zhang, X. Huang (2023). Design a safe firefighting time (SFT) for major fire disaster emergency response. International Journal of Disaster Risk Reduction, 88, 103606.

  7. X. Wu, X. Zhang, Y. Jiang,  X. Huang, G. G. Huang, & A. Usmani (2022). An intelligent tunnel firefighting system and small-scale demonstration, Tunnelling and Underground Space Technology, 120, 104301.

  8. X. Zhang, X. Wu, Y. Park, X. Huang, T. Zhang, F. Xiao, A. Usmani (2020) Perspectives of Big Experimental Database and Artificial Intelligence in Tunnel Fire Research, Tunnelling and Underground Space Technology, 108, 103691. 

  9. P Sun, X Zhang, C Ding, X. Huang (2021). Effect of reduced pressure on burning dynamics of fire whirls, Fire Safety Journal, 125, 103419.

  10. P. Sun, Y. Jia, X. Zhang, X. Huang (2021) Fire Risk of Dripping Flame: Piloted Ignition and Soaking Effect, Fire Safety Journal, 122, 103360.

  11. X. Wu, X. Zhang, X. Huang, F. Xiao, A. Usmani (2021) A Real-time Fire Forecast in Tunnel Based on Big Data and Artificial Intelligence, Building Simulation, 15 (4), 511-524.

  12. L. Su, X. Wu, X. Zhang, X. Huang (2021) Smart Performance-Based Design for Building Fire Safety: Prediction of Smoke Motion via AI, Journal of Building Engineering, 43, 102529. 

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Book Chapters:

  1. X. Zhang, Y. Ding, T. Zhang, X. Huang (2024). Internet of Things and Digital Twin in Fire Safety Management. In: Huang, X., Tam, W.C. (eds) Intelligent Building Fire Safety and Smart Firefighting. Digital Innovations in Architecture, Engineering and Construction. Springer, Cham. https://doi.org/10.1007/978-3-031-48161-1_14

  2. X. Huang, X. Wu, X. Zhang, A. Usmani (2022) Smart Tunnel Fire Safety Management by Sensor Network and Artificial Intelligence, Chapter 9, Leveraging Artificial Intelligence into Engineering, Management, and Safety of Infrastructure (M.Z. Naser Ed.), CRC Presss.

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Conference communications:

  1. H.Y. Wong, X. Zhang, M. Wang, X. Huang, Smart dynamic exit sign system for tunnel fire evacuation: A lab-scale demonstration, 10th International Symposium on Tunnel Safety and Security (ISTSS 2023), Stavanger, Norway, April 26 - 28, 2023. [Poster]

  2. X. Zhang, X. Wu, X. Huang, An AIoT-based smart digital twin for real-time tunnel fire safety monitoring, 10th International Symposium on Tunnel Safety and Security (ISTSS 2023), Stavanger, Norway, April 26 - 28, 2023. [Paper + Oral]

  3. X. Zhang, X. Wu, X. Huang, Deep learning-enabled smart tunnel fire monitoring system and a small-scale demonstration, European Conference & Expo on Fire Safety Engineering (SFPE23), Berlin, Germany, 29-30, March 2023. [Poster]

  4. X. Zhang, X. Wu, X. Huang, Digital Twin-enabled smart system for real-time tunnel, 3rd Symposium For young Tunnellers Of Asia, Changsha, China, 27-28, Oct, 2022. [Oral]

  5. Y. Zhang, Z. Wang, X. Zhang, X. Huang, Digital-Twin Framework of Tunnel Evacuation With Computer Vision-Based Real-Time Interaction, 3rd Symposium For young Tunnellers Of Asia, Changsha, China, 27-28, Oct, 2022. [Oral]

  6. X. Zhang. Applications of Digital Twin in Tunnel Fire Safety Management. The 2nd Digital Twin International Conference (DigiTwin2022), Online (Sydney), 25-28 Sep 2022. [Oral Presentation]

  7. X. Zhang, X. Wu, X. Huang. Smart Tunnel fire safety management framework based on Internet of Things and Digital Twin. China National Symposium on Combustion, Shanghai, China, 5-7 Dec 2022. [Paper + Poster]

  8. 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. [Poster]

  9. X. Zhang, X. Wu, X. Huang. Prediction Model for Tunnel Fire Development and Spread. 12th Asia-Oceania Symposium on Fire Science and Technology (AOSFST), Brisbane, Australia, 7-9 Dec 2021. [Paper + Oral]

  10. P. Sun, Y. Jia, X. Zhang, X. Huang. Dripping Ignition of Porous Materials: The Effect of Soaking. 38th Symposium Work in Progress Poster, 24-29 Jan 2021. [Poster]

  11. P. Sun, Y. Jia, X. Zhang, X. Huang. Ignition by continual polyethylene drips and the soaking processes. 12th Asia-Oceania Symposium on Fire Science and Technology (AOSFST), Brisbane, Australia, 7-9 Dec 2021. [Paper + Oral]

  12. P. Sun, X. Zhang, D. Chao and X. Huang, Small scale fire whirl experiment in low-pressure environment.13th International Association on Fire Science, 2020. [Poster].

  13. X. Wu, X. Zhang, X. Huang, F. Xiao, A. Usmani. AI-Based Prediction of Fire Source in Tunnel Fire. 38th Symposium Work in Progress Poster, 24-29 Jan 2021. [Poster]
     

 

Patents

  1. X. Huang, X. Zhang, et al., A method and tool for building fire engineering design based on artificial intelligence. Invention Patent [CN], CN114036613A.

  2. X. Huang, X. Wu, X. Zhang, et al., A methodology and system for building fire safety monitoring based on artificial intelligence and digital twin, Invention Patent [CN], CN114187728A.

  3. Q. Wang, X. Zhang, et al., Indoor Fire Monitoring Based on Look-Up-From-Floor Sensing of Ceiling, Utility Patent [US], P23413US00

 

 

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