Assoc. Prof. Dr. Xiaoyan Li, Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences, China
Xiaoyan Li is an Associate Researcher at the Hangzhou Institute of Advanced Study, UCAS, in Hangzhou, China. Her research expertise lies in space-based infrared detection, geometric calibration for space-based optical payloads, geometric positioning, and the intelligent processing and application of remote sensing images. She earned her Ph.D. from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, and completed a post-doctoral fellowship at the Hangzhou Institute of Advanced Study, UCAS.
Professional Profile:
SCOPUS
Summary of Suitability for the Best Researcher Award: Xiaoyan Li
Xiaoyan Li is an exceptional candidate for the Best Researcher Award due to her extensive contributions and ongoing impact in the field of remote sensing and infrared detection. Her academic and research trajectory showcases a strong commitment to advancing scientific knowledge and technology, making her a standout figure in her discipline.
📚 Education
🎓 Ph.D.: Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China (2016.09 – 2021.06)
Specialization: Space-based infrared detection and remote sensing.
💼 Work Experience
👩🔬 Associate Researcher: Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China (2023.10 – Present)
- Research interests: Space-based infrared detection, geometric calibration for optical payloads, geometric positioning, intelligent remote sensing image processing.
🔬 Post-Doctoral Researcher: Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China (2021.06 – 2023.10)
🏆 Achievements and Honors
🌟 Research Contributions:
- Presided over 8 major projects, including:
- National Natural Science Foundation of China – Youth Fund Project (2023–2025)
- Chinese Academy of Sciences Forward-looking Strategic Science and Technology Pilot Project (2023–2025)
- Open Project of State Key Laboratory of Infrared Physics (2024–2026)
- Research Funds of Hangzhou Institute for Advanced Study, UCAS (2024–2027)
Publication Top Notes:
Infrared moving small-target detection using strengthened spatial-temporal tri-layer local contrast method
High-resolution thermal infrared contrails images identification and classification method based on SDGSAT-1
On-orbit imager installation angles estimation and compensation based on time-series prediction method for GEO optical satellite
A trajectory prediction method for boost phase BM based on adaptive tracking and GPR
Thin-Plate-Spline-Based Registration for Correcting Local Nonlinear Deformation of Bidirectional Whisk-Broom Images