At the invitation of Prof. Nian Yanyun from the School of Earth and Environmental Sciences, Lanzhou University, Researcher Wu Sensen from the School of Earth Sciences, Zhejiang University, will visit our university for academic exchange and deliver a lecture on August 25, 2026. All faculty members and students are welcome to attend!
Title: Spatiotemporal Intelligent Regression Models and Open Science Applications
Reporter: Researcher Wu Sensen, Zhejiang University
Time: 14:30-15:30, August 25, 2026 (Tuesday)
Venue: Room 213, Qilian Hall, Chengguan Campus, Lanzhou University
Moderator: Prof. Nian Yanyun, School of Earth and Environmental Sciences, Lanzhou University
Reporter Profile:
Wu Sensen is a Researcher and Doctoral Supervisor at the School of Earth Sciences, Zhejiang University. He serves as Deputy Chair of the Department of Geographical Sciences, Deputy Director of the Zhejiang Provincial Key Laboratory of Resources and Environmental Information Systems, Deputy Secretary-General of the Zhejiang Provincial Geographical Society and Deputy Director of its Youth Working Committee, Member of the Youth Science and Technology Committee of the China National Committee of the International Society for Digital Earth, and Editorial Board Member of International Journal of Geographical Information Science (IJGIS), a flagship journal in geographic information science. His research focuses on spatiotemporal intelligent analysis methods and technologies for marine and geoscience big data. He has published more than 80 academic papers in domestic and international journals and has been granted more than 20 national invention patents and software copyrights. He has presided over national scientific research projects, including projects under the National Key R&D Program, projects under the National Science and Technology Major Project for Deep Earth, and the General Program and the Young Scientists Fund Program of the National Natural Science Foundation of China (NSFC). He has received awards including the Special Prize of the Geographic Information Science and Technology Progress Award, the First Prize of the Ocean Engineering Science and Technology Award, and the Zhejiang Youth Geography Science and Technology Award.
Report Abstract:
In the era of geoscience big data and spatial intelligence, research increasingly focuses on accurate and intelligent modeling of regression relationships among geoscientific variables across broad spatial extents, long time series, and multiple scales. Starting from the fundamental characteristics of spatiotemporal big data, this talk will take into account spatial association and spatiotemporal coupling characteristics, and develop spatiotemporal intelligent regression models that integrate geoscientific thinking and artificial intelligence. These models improve spatial modeling and prediction capabilities for non-stationary and nonlinear geoscientific processes, supporting big data analysis, research, and open applications in multiple fields such as geography, oceanography, atmospheric science, and mineral resources.
School of Earth and Environmental Sciences, Lanzhou University
August 24, 2026
