Biography

Dr Congliang Ye is a postdoc fellow at the Hong Kong Polytechnic University. He received his PhD in Safety Science and Engineering from Beijing Institute of Technology. His research fields include explosion dynamics, thermal safety, firefighting technology, computational fluid dynamics simulation.

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Background of Education​

• BEng, Huazhong Univ Science & Technology (2021)

 

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Research Interests

Spectroscopy, Battery detection

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Publications

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• Guan F, Liu Y, Niu X, et al. AI-enabled universal image-spectrum fusion spectroscopy based on self-supervised plasma modeling. Advanced Photonics Nexus, 2024, 3(6): 066014-066014.

• Guan F, Guo L. MVPNet: Multiple View Pyramid Network for LiDAR Point Cloud Prediction Based on Spatial-temporal Feature Learning, International Conference on Robotics, Automation and Artificial Intelligence (RAAI). IEEE, 2022: 244-249.

• Liu Y, Guan F, Xu G, et al. A plasmonic sweat sensing device for large-scale health monitoring, Advanced Matirials. (Under review)

• Sattar H, Guan F, Bakhtiar S H, et al. Investigating the impact of plasma nitriding on Ti6Al4V surface, structural, and mechanical properties and their simultaneous evaluation via laser opto-ultrasonic dual detection (LOUD) approach. Applied Surface Science, 2024, 642: 158539.

• Sattar H, Hu Z, Guan F, et al. An approach to characterize the compositional, structural and mechanical properties of thermally processed titanium (Ti) alloy simultaneously via novel in-situ laser opto-ultrasonic dual detection (LOUD). Journal of Alloys and Compounds, 2023, 947: 169240.

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Conference

• Feiyu Guan, Xuechen Niu, Lianbo Guo et al. AI-enabled plasma image-assisted LIBS for high-temperature alloy detection, 2023 ASLIBS, Tokushima, Japan, 23-30 June, 2023. (Oral Presentation)

• Feiyu Guan, Xuechen Niu, Lianbo Guo et al.  Multimodal Spectroscopy fusion detection based on plasma modeling, 2024 China Laser Annual Conference, Wuhan, China, 5-6 July, 2024. (Best Student Poster)
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