Biography:

Yizhou Li is currently a PhD student at the Hong Kong Polytechnic University. He received his bachelor’s Degree (2021) from College of Safety Engineering at China University of Mining and Technology (CUMT). His research interest covers Wildfire, Coal Fire and AI-based Firefighting.

 

李逸舟，香港理工大学建筑环境及能源工程学系、消防工程研究中心在读博士生；中国矿业大学安全工程工学学士。研究领域涉及煤炭阴燃、森林火灾和基于人工智能的消防应用。本科期间曾获国家奖学金、上海能源奖学金等多项奖学金和国家级奖项。

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Background of Education:

• 2021 - 2025 (expected), Ph.D., Dept. of Building Environment and Energy Engineering, The Hong Kong Polytechnic University.

• 2023 - 2024, Visting Ph.D. Candidate, School of Engineering and Information Technology, The University of New South Wales.

• 2023 - 2024, Visting Ph.D. Candidate, Fenner School of Environment & Society, The Australian National University.

• 2017 - 2021, B.Eng., College of Safety Engineering, China University of Mining and Technology.

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Research Areas:

       Wildfire, Coal Fire, AI-based Firefighting

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Prizes and Awards:

• 2023-2024 PolyU PhD Scholars International Collaborative Research Fellowship, The Hong Kong Polytechnic University

• 2023-2024 Research Student Attachment Programme, The Hong Kong Polytechnic University

• 2021-2025 PolyU Research Postgraduate Scholarship, The Hong Kong Polytechnic University.

• 2020 National Scholarship, Ministry of Education of the People's Republic of China

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Publications:

Journal Publication (English)​

Under Preparation and Submitted​​

• Y. Li, Y. Zeng, X. Huang*, Deep Learning-Based Operational Modeling for Real-Time Wildfire Spread in Hong Kong Island.

• Y. Li, R. Wadhwani*, X. Huang*, Application of Artificial Intelligence in CFD-Based Grassfire Spread Simulation. 

• R. Wadhwani, X. Zhang, Y. Li*, D Sutherland, K Moinuddin, X Huang*, Integration of Machine Learning With Physics-Based Fire Model For Grassfire. 

• Y. Li, T. Zhang, Y. Ding, R. Wadhwani, X. Huang*, Review and Perspectives of Digital Twin Systems for Wildland Fire Management.

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Published

1. Y. Li, Z. Wang, X. Huang*, (2023) Super Real-Time Forecast of Wildland Fire Spread by A Dual-Model Deep Learning Method. Journal of Environmental Informatics. (2022 JCR Q1)

2. Y. Zeng, Y. Li, P. Du, X. Huang*,(2023) Smart Fire Detection Analysis in Complex Building Floorplans Powered by GAN. Journal of Building Engineering. (2022 JCR Q1)

3. Y. Li, Z. Wang, X. Huang*, (2022) An Exploration of Equivalent Scenarios for Building Facade Fire Standard Tests. Journal of Building Engineering. (2021 JCR Q1)

4. Z. Shao, Y. Li, R. Deng, D. Wang, X. Zhong*, (2021) 3D-imaging thermal surfaces of coal fires based on UAV thermal infrared data. International Journal of Remote Sensing. (2020 JCR Q2)

5. Z. Shao, D. Wang*, K. Cao, W. Si, Y. Li, J. Liu, (2020) Treatment of smouldering coal refuse piles: an application in China. Environmental Technology. (2019 JCR Q3)

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Journal Publication (Chinese)

1. 曾彦夫,李逸舟,黄鑫炎.深度学习模型预测复杂平面房间内的火灾温度场.[J].消防科学与技术,2024 (1):  51-55. 

2. 李逸舟,王自龙,黄鑫炎.建筑外立面火灾测试的腔室火与溢流火特性研究.[J].燃烧科学与技术,2023 (02):127-134. 

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Conference: 

1. Y. Li, R. Wadhwani, X. Huang*,(2024) Integrating Deep Learning with Physics-Based Fire Models for Real-Time Grassfire Spread Forecast, 7th International Fire Behaviour and Fuels Conference, Canberra, Australia, 15-19 April 2024. [Oral]

2. Y. Li, R. Wadhwani, X. Huang*,(2024) Towards Digital Wildland Fire Management: Exploring the Future of Digital Twin Applications, 7th International Fire Behaviour and Fuels Conference, Canberra, Australia, 15-19 April 2024. [Poster]

3. Y. Li, X. Huang*,(2023) Artificial Intelligence-based Study on Forest Conservation and Fire Prevention Strategies in Hong Kong, The 23rd Cross-strait and Hong Kong Macao Symposium on Environment, Resources and Ecological Conservation, Shatin, Hong Kong, 18-23 Dec 2023. [Oral]

4. Y. Zeng, Y. Li, X. Huang*, (2023) Floorplan-based Fire Detection Prediction via Generative Adversarial Network. 14th International Symposium on Fire Safety Science, Tsukuba, Japan, 21-27 October 2023. [Poster]

5. Y. Zeng, Y. Li, X. Huang*, (2023) Deep-learning Prediction on Fire-induced Temperature Field in Complex Room Layouts, The 2023 China National Symposium on Combustion, Hefei, China, 12-15 October 2023. [Oral]

6. Y. Li, Z. Wang, X. Huang*, (2023) Can we compare different façade fire standards fairly?, 14th Asia-Pacific Conference on Combustion, Kaohsiung, Taiwan, 14-18 May 2023. [Oral]  

7. Y. Li, X. Huang*, (2023) AI-Based Wildfire Spread Forecast Framework in Hong Kong. PolyU Research Student Conference (PRSC) 2023, Hong Kong, May 8-9, 2023. [Oral]

8. Y. Li, X. Huang*, (2022) AI-driven Real-time Forecast of Wildfire Development in Hong Kong. IX International Conference on Forest Fire Research, Coimbra, Portugal, Nov 11-18, 2022. [Oral]  

9. Y. Li, X. Huang*, (2022) Autonomous Wildfire Tracking Systems Based on UAV and Perspectives of Wildfire Digital Twin. IX International Conference on Forest Fire Research, Coimbra, Portugal, Nov 11-18, 2022. [Oral]

10. Y. Li, Z. Wang, X. Huang*, (2021) Study on the Characteristics of Compartment Fire and Spilled Flame in Facade Fire Standard Tests. The 2021 China National Symposium on Combustion, Dalian, China, Jan 14-16, 2022. [Poster]  

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Patents:​

1. Z. Shao, D. Wang, X. Zhong, Y. Li, R Deng, A digital imaging method for three-dimensional temperature field of coal fire and gangue hill fire, Chinese Patent, CN202010370173.8. 
   URL: http://epub.cnipa.gov.cn/patent/CN111563957A 

2. B. Xie, Y. Li, et al. A preparation method of composite filter material for filtering nano metal oxide dust particles. Chinese Patent. CN201911165410.0.
   URL: http://epub.cnipa.gov.cn/patent/CN110876871A 

3. B. Xie, H. Liu, X. Tan, Y. Zhang, S. Li, S. Hu, Y. Li, et al. The utility model relates to a fully pneumatic portable air purification system for mine. Chinese Patent. CN201910062851.1.
   URL: http://epub.cnipa.gov.cn/patent/CN109847223B 

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Software copyright: 

1. Z. Shao, Y. Li, R. Deng, Thermal infrared image detail enhancement mass processing software in coal field fire area V1.0, Chinese software copyright, 2021SR1395461. 

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