Team teacher

Team teacher

Xiaokang Zhang

26.November 2023

Special Professor and Master's Supervisor at the School of Information Science and Engineering (School of Artificial Intelligence) of Wuhan University of Science and Technology, Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, Associate Researcher at the Hong Kong Polytechnic University, and a high-level overseas talent in Hubei Province. Selected for talent programs such as Hubei Province's "Hundred Talents Plan", "Chutian Students", "Youth Science and Technology Morning Plan", and "Wuhan Youth Science and Technology Chaoyang Plan". My main research interests include remote sensing information extraction, machine learning, multimodal data fusion, and the development of open-source deep learning frameworks. Hosted the National Natural Science Foundation General Program, Youth Program, Postdoctoral Fund General Program, Luojia Laboratory Open Fund, and participated in two sub projects of the National Key Research and Development Program. Published over 20 SCI papers as first/corresponding author in journals such as ISPRS P&RS and IEEE TGRS, applied for 8 invention patents, and served as a long-term reviewer for top journals in the field of RSE, ISPRS P&RS, IEEE TNNLS, IEEE TGRS, and served as a guest editor for Remote Sensing journals. Has won honors such as the Special Prize for Progress in Surveying and Mapping Technology, the Gold Award at the Geneva International Invention Exhibition in Switzerland, the Wang Zhizhuo Innovation Talent Award, and the Outstanding Graduate Student of Wuhan University. Guide graduate students to win the first prize (first place) in the Titan Cup National College Student Space Information Application Competition.

For a long time, we have been committed to the research of remote sensing intelligent interpretation theory and methods, and have achieved innovative results in cross scale visual mechanisms, semi supervised feature fusion, multi-objective domain adaptation, distributed federated optimization, uncertainty analysis, and other aspects. The relevant technologies have formed the group standard of the China Geographical Information Industry Association. The research results have been applied in the fields of natural resource monitoring, soil erosion dynamic monitoring, landslide disaster monitoring, etc., solving the key needs of the first national geographic national survey, which is a major national project, and achieving certain social and economic benefits.

Email: zhangxiaokang@whu.edu.cn