Profile Shengyang Li

Dr. Shengyang Li is a distinguished Research Fellow at the Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences (CAS), and also serves as an Adjunct Professor and Ph.D. Supervisor at the University of Chinese Academy of Sciences. With a career at CAS spanning since 2006, following the completion of his Ph.D. at the Institute of Remote Sensing Applications, Dr. Li has established himself as a leading expert in the field of space application data processing. His research is centered on the intelligent processing of space application images, the intelligent analysis of aerospace big data, and the development of advanced aerospace ground data system technologies.

Dr. Li has a prolific publication record, frequently appearing as a first or corresponding author in high-impact international journals such as Scientific Data, IEEE Transactions on Geoscience and Remote Sensing, and the Bulletin of the Chinese Academy of Sciences. His recent work focuses on creating benchmark datasets and developing novel methods for satellite video analysis, multi-animal behavior tracking in microgravity, and advancing the AI for Science (AI4S) paradigm in space science experiments. His contributions are further recognized through significant honors, including the Special Government Allowance of the State Council and a First Prize in Natural Science from Hubei Province for his work on deep learning methods for remote sensing image interpretation.

Actively engaged in the academic community, Dr. Li holds several key service positions, including Deputy Director of the Space Science Big Data Professional Committee within the Chinese Society of Space Science. He also contributes to the field as an editorial board member for prestigious national journals like the National Remote Sensing Bulletin and the Journal of Chinese Image and Graphics, and serves as a reviewer for several top-tier international remote sensing and computing journals.