معرفی
Dr. Yanni Dong is an Associate Professor at the Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China. She received her B.S. and Ph.D. degrees from Wuhan University in 2012 and 2017, respectively, and held a Hong Kong Scholar position at The Hong Kong Polytechnic University in 2019.
Her educational qualifications include:
- B.S., Wuhan University, 2012
- Ph.D., Wuhan University, 2017
Dr. Dong's research centers on hyperspectral image processing, pattern recognition, and machine learning, with dominant expertise in Metric Learning (33% research fingerprint) and hyperspectral target detection (16%). Her work applies advanced computational methods to remote sensing data for geological interpretation and environmental monitoring, emphasizing dimensionality reduction and transfer learning techniques.
Her 2025 publications reveal a strong focus on multimodal fusion and satellite video tracking, leveraging transformer networks and Mamba architectures to solve challenges in oil spill detection and object recognition using SAR/HSI data. These works demonstrate consistent innovation in feature fusion and temporal modeling for geospatial applications.
Her recognition includes the Hong Kong Scholar award (2019). She serves as a reviewer for over twenty top-tier journals including IEEE TCYB, TGRS, TIP, TNNLS, TMM, PR, and GRSL.
Dr. Dong actively contributes to the academic community as a program committee member for IJCAI and AAAI conferences. While specific details of advised students and grants are not provided, her extensive publication record and editorial service indicate significant research leadership. She is embedded within the Institute of Geophysics and Geomatics research ecosystem, driving advancements in geospatial AI methodologies.
