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

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

• 2020 English Scholarship, China University of Mining and Technology

• 2020 Shanghai Energy Scholarship, Shanghai Datun Energy Resources Co.

• 2020 First Award of The 6th National University Student Practice and Innovation Competition in Safety Science and Engineering, National Conference on Safety Science and Engineering in Universities.

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Publications:

Journal Publication (English)

1. Y Zeng, Y Li, X Huang*, (2023) GAN-driven Smart Fire Detection Analysis in Complex Building Floorplans. (Submitted)

2. Y Li, Z Wang, X Huang*, (2023) Super Real-Time Forecast of Wildland Fire Spread by A Dual-Model Deep Learning Method. (Submitted)

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 IF=7.114)

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 IF=3.151)

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 IF=2.213)

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Journal Publication (Chinese)

1. 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, 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]  

2. 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]

3. 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]  

4. 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]

5. 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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