Xiyong Hou, male, from Tai’an, Shandong Province, holds a Ph.D. Researcher Hou is a researcher and doctoral supervisor. He leads the research group on “Remote Sensing Monitoring of Coastal Zone Resources and Environment and Ecological Risk Assessment.” Researcher Hou mainly engaged in scientific research and graduate training, related to remote sensing monitoring and ecological risk assessment of coastal zone resources and environment, integrated coastal zone management, such as Land Use and Land Cover Change (LUCC), coastline, coastal wetlands, ecosystem services, and climate change disaster risks.

Jialin Li      Professor

Ningbo University, China

Jialin Li is a postdoctoral researcher, second-level professor, and doctoral supervisor. Prof. Li is also the Executive Dean of the School of Civil & Environmental Engineering and Geography Science at Ningbo University, head of the “Versatile talent” Teacher Party Branch Studio in national universities, chief expert of the Zhejiang Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research, and chief expert of the Ningbo University Donghai Academy, an innovative think tank for new key disciplines in Zhejiang Province. Furthermore, Prof. Li is selected as a key talent in Zhejiang Province, is honored as the “Most Outstanding Geographic Scientist” by the Geographical Society of China, the “Most Beloved Party Secretary by Teachers and Students” in provincial universities, “Sunshine Professor,” “Most Popular Professor,” and “Most Excellent Mentor” at Ningbo University. In academic research, Prof. Li mainly focuses on coastal zone resource development, remote sensing and GIS applications, and integrated land-sea planning. He has authored over 200 papers in SCI/SSCI journals and major domestic journals, and authored more than 10 monographs. His research achievements have received more than 10 awards, including three first-class awards for Outstanding Philosophical and Social Science Achievements in Zhejiang Province (in 2019, 2021, and 2023, where he was the primary contributor), as well as awards from the Zhejiang Higher Education Scientific Research Achievement, Ningbo Science and Technology Progress, among others. Over ten research outcomes have received commendations or been adopted by provincial and ministerial leaders. In the research projects, Prof. Li has participated in one major project funded by the National Social Science Fund of China, six projects funded by the National Natural Science Foundation of China, including one key project, and more than ten provincial and ministerial research projects, such as those funded by the Zhejiang Natural Science Foundation and Zhejiang Social Science Key Fund. Prof. Li is the principal person in charge of the first-level doctoral program in geography at Ningbo University, doctoral supervisor for geography and fisheries economics and management, and master supervisor for geography, discipline teaching (geography), and rural development.

Weiwei Sun      Professor

Ningbo University, China

Weiwei Sun is the Director of the Science and Technology Department at Ningbo University, a national-level talent, and a recognized talent of Zhejiang Province. Prof. Sun serves as the Deputy Secretary-General of the Hyperspectral Remote Sensing Technology and Application Professional Committee of the China Association of Remote Sensing Application (CARSA), an Executive Director of the Loess Plateau Remote Sensing Branch of the CARSA, a member of the Space Remote Sensing Professional Committee of the Chinese Society of Space Research (CSSR), a member of the Youth Working Committee of the CSSR, a member of the Photogrammetry and Remote Sensing Professional Committee of the Chinese Society for Geodesy Photogrammetry and Cartography, a member of the Ecological Remote Sensing Professional Committee of the Ecological Society of China, and an Executive Director of the Zhejiang Society for Geodesy Photogrammetry and Cartography. Furthermore, Prof. Sun is the Associate Editor of IEEE Transactions on Geoscience and Remote Sensing, an editorial board member of Photogrammetric Record and GIScience and Remote Sensing, and serves on the editorial boards of Chinese Geographical Science and National Remote Sensing Bulletin. He has chaired the first National Coastal Remote Sensing Conference, served as the Chair of the Organizing Committee for the 6th National Imaging Spectroscopy Earth Observation Symposium, and been a committee member for the 2nd, 3rd, 4th, and 5th China Wetland Remote Sensing Conferences.

Huaguo Zhang      Researcher

Second Institute of Oceangraphy, MNR, China

PhD Supervisor, Deputy Director of the Satellite Ocean Environment Dynamics Laboratory, Co-appointed Professor at Shanghai Jiao Tong University, Concurrent Professor at Zhejiang University, Adjunct Professor at Hohai University, and selected for the second level of the Zhejiang Provincial 151 Talent Project. His research focuses on coastal and nearshore remote sensing, with current work centered on the remote sensing detection of island coastal zones and shallow underwater topography, as well as the retrieval algorithms for ocean sunglint remote sensing.

Saied Pirasteh     Professor

Shaoxing University, China / University of Waterloo, Canada

Saied Pirasteh is the deputy director of the Institute of Artificial Intelligence at Shaoxing University, and the head of the Geospatial Artificial Intelligence Team. Prof. Saied Pirasteh serves as the Secretary-General of the Academic Network of the United Nations Global Geospatial Information Management Expert Committee (UN-GGIM). With over 20 years of research experience in geographic information science and spatial intelligence, his work has been widely applied in remote sensing image analysis, environmental protection, disaster management, and other fields. He has made significant contributions to advancing the achievement of the United Nations Sustainable Development Goals. In September 2025, Prof. Saied Pirasteh was awarded the "City of Innovation Friendship Medal " as a foreign science and technology talent.

Bin Zou     Professor

Harbin Institute of Technology, China

Bin Zou, PhD, Professor. School of Electronics and Information Engineering, Harbin Institute of Technology. Senior member of IEEE, Chair of IEEE GRSS (China) Chairs Council, Chair of IEEE GRSS Harbin Chapter, and Director of Heilongjiang Surveying and Mapping Geographic Information Society. 

He graduated in 1990 from the Electronic Engineering program at Harbin Institute of Technology, China, obtained a Master’s degree in Space Studies from the International Space University (Strasbourg, France) in 1998, and earned a PhD in Information and Communication Engineering from Harbin Institute of Technology in 2001. From 2003 to 2004, he was a visiting scholar at the Department of Geological Sciences, University of Manitoba, Canada. 

He has been engaged in research related to synthetic aperture radar (SAR) data processing for more than 20 years, including radar signal processing and imaging, modeling and simulation of electromagnetic scattering characteristics of typical targets, SAR/PolSAR image target detection and recognition, and artificial intelligence algorithms. He has successively led projects such as the National Natural Science Foundation, the 863 Program, innovation projects of national ministries, and pre-research funds. He has published more than 100 high-level papers (SCI/E-indexed), authored 1 monograph, applied for more than 10 invention patents, and received two provincial and ministerial level awards. He has supervised and trained over 100 master’s students, doctoral students, and postdoctoral researchers.

Huaqiao Xing      Researcher / Associate Professor

Shandong Jianzhu University, China

Huaqiao Xing is a researcher and associate professor, as well as the academic deputy dean of the School of Surveying and Geographic Information at Shandong Jianzhu University. He serves as a graduate supervisor and has been a visiting scholar at Toronto Metropolitan University. He is a recipient of the Shandong Provincial Outstanding Youth Award and recognized as a Young Top Talent in Natural Resources of Shandong Province. Researcher Xing leads the “Geographic Information Intelligent Mining and Knowledge Service Innovation Team” under the Youth Innovation Team Program of Shandong universities. He has been honored as an Excellent Master's Thesis Advisor in Shandong Province. Researcher Xing is a member of the Intelligent Surveying and Mapping Working Committee of the Chinese Society for Geodesy Photogrammetry and Cartography, and a member of the Big Data and Artificial Intelligence Working Committee of the Chinese Society of Natural Resources. He is also an expert in the National Graduate Education Evaluation and Monitoring Expert Database, a member of the Shandong High-level Talent Development Promotion Association, and an expert member of the Technical Group of the Shandong Provincial Comprehensive Natural Disaster Risk Survey Leading Group. Additionally, he serves on the Land Spatial Big Data and Natural Resources Informatization Working Committee and the Natural Resources Survey, Monitoring and Real Estate Surveying and Mapping Working Committee of the Shandong Provincial Association for Surveying Mapping and Geographic Information Society. Currently, Researcher Xing focuses on intelligent processing and service computing of remote sensing big data. He has participated in over 20 research projects, including those funded by the National Natural Science Foundation of China and the Shandong Outstanding Youth Fund. He has received more than ten provincial- and ministerial-level scientific and technological awards, including the Science and Technology Progress Award from the Ministry of Natural Resources.

Lina Xu      Professor

China University of Geosciences, China

Lina Xu, female, Professor. She obtained her Doctor of Philosophy (Ph.D.) in Cartography and Geographic Information Systems from the Institute of Remote Sensing Applications, Chinese Academy of Sciences. She has presided over multiple national, enterprise-university cooperative, and university-level projects, participated in one project of the National Natural Science Foundation of China, one project funded by the Fundamental Research Funds for the Central Universities at China University of Geosciences, and several other laboratory funds and horizontal research projects. She has published over 40 papers in domestic and international journals, including IEEE Transactions on Geoscience and Remote Sensing (TGRS), Remote Sensing of Environment (RSE), Applied Sciences, Geomatics and Information Science of Wuhan University, and Acta Geodaetica et Cartographica Sinica, with her work indexed by SCI, EI, and ISTP. She also serves as a reviewer for several domestic and international journals. She has long been engaged in teaching undergraduate and postgraduate students and Served as Chief Editor and published one textbook. Her research mainly focuses on remote sensing applications, including intelligent processing of remote sensing images, applications of artificial intelligence and deep learning algorithms in land surface parameter retrieval, atmospheric environmental remote sensing retrieval, and surface deformation monitoring. She is also engaged in the research and development of satellite remote sensing ground processing systems.

Yongzhe Wang      Associate Researcher

Institute of Geophysics,China Earthquake Administration

Associate Researcher at the Institute of Geophysics, China Earthquake Administration; Ph.D. in Geodesy and Surveying Engineering; Master’s Supervisor. His research primarily focuses on GNSS/InSAR crustal deformation and its geophysical mechanisms. He has led two special topics under the National Key Research and Development Program, one project under the Equipment Pre-research Special Program, and several projects under the Central Public-interest Scientific Institution Basic Research Fund. He has published over 20 papers. He received the First Prize of the 2018 China Earthquake Administration Science and Technology Achievement Award for Earthquake Disaster Mitigation. He currently serves as a Youth Editorial Board Member of Progress in Earthquake Sciences and a reviewer for SCI-indexed journals including IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Xin Yu      lecturer

China University of Geosciences, China

Xin Yu is a Lecturer at the School of Geophysics and Geomatics, China University of Geosciences (Wuhan). He received his degree from the School of Artificial Intelligence and Automation at Huazhong University of Science and Technology and was a visiting scholar at the Department of Geography and Resource Management, The Chinese University of Hong Kong. His research focuses on both the theoretical foundations and practical applications of artificial intelligence in remote sensing, particularly for geospatial information extraction and natural disaster monitoring. He is committed to developing theory-driven and learning-integrated approaches to enable accurate, scalable, and interpretable extraction of geospatial information from high-resolution remote sensing imagery. In addition, his work aims to establish physically constrained, multi-source data-driven frameworks for disaster process inversion, risk assessment, and early warning. He has led or participated in more than ten research projects, including those funded by the National Natural Science Foundation of China, the National Key Research and Development Program of China, and various industry collaborations. He has authored over 20 peer-reviewed publications.