Marco Scaioni, Civil Engineering MSc Degree (Politecnico Milano, Italy, 1995), PhD on Geodetic and Mapping Sciences (Politecnico Milano, 1999). Full Professor of Geomatics at Politecnico Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC). Formerly, Full Professor in the College of Surveying and Geo-Informatics at Tongji University, Shanghai (2011-2014). Main research interests: Photogrammetry and Laser scanning from multiple platforms, Integration GIS/BIM for buildings and infrastructures, Geomatics for Geosciences and Cultural Heritage, Geodatabases for urban planning, Deep Learning classification of point clouds. Associate Editor of Applied Geomatics (Springer) and the ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier). He published more than 350 scientific papers, including 70 papers on WoS-indexed journals (H-index: 29), 210 Scopus-indexed papers (H-index: 37) and two edited books.

Dr. Georgios Mallinis is a Professor in the School of Rural and Surveying Engineering at Aristotle University of Thessaloniki (AUTh), Greece. His research focuses on Remote Sensing and GIS applications for mapping and monitoring terrestrial ecosystems, with an emphasis on forest ecosystem mapping and land use/land cover (LULC), biodiversity assessment, and disaster management. He has published extensively in peer-reviewed journals, books, and international conference proceedings, and has coordinated or participated in more than 45 EU- and nationally funded research projects. He currently serves as Section Editor-in-Chief of Forests (Natural Hazards and Risk Management Section) and as a member of the Editorial Board of the journal Remote Sensing.

Monika Kuffer is working as a Professor at the Behavioural, Management and Social Sciences (BMS) as well as at the Faculty of Geo-Information Science and Earth Observation (ITC, University of Twente). "My research focuses on sustainable development (SDGs), in particular poverty (deprivation), living quality, and economic development in urban/rural environments using remote sensing, Geographic Information Systems (GIS), and AI-based methods. I co-chair an international network on deprivation area mapping IDEAMAPS and (co) lead several research projects on urban deprivation and environment, e.g., IDEAtlas, SPACE4ALL, IDEAMAPS Ecosystem, and ONEKANA. I am the project director of two NUFFIC-funded training grants (IDeAMapSudan - Capacity strengthening for gender-responsive and sustainable urban development and DATA4HUMANRIGHTS, Nigeria). I am a Steering Committee Member of the Joint Urban Remote Sensing Event (JURSE), the Dutch representative of the European Association of Remote Sensing Laboratories (EARSeL), SIG chair for Developing Countries, and a member of the Steering Committee: EO for Sustainable Cities and Communities Toolkit."

Dr. Yanbing Bai has been an Assistant Professor in the Department of Data Science and Big Data Analytics, School of Statistics, Renmin University of China, Beijing, since 2019. He specializes in satellite remote sensing and geospatial AI for disaster risk reduction. He received his Ph.D. from Tohoku University, Japan. He also served as a Visiting Researcher at the Donald Bren School of Information and Computer Sciences at the University of California, Irvine. His current research integrates Earth observation foundation models, multi-agent LLM systems, computer vision, and digital twins with multimodal geospatial big data—including UAV and satellite imagery, SAR data, human mobility data, and social media—to support disaster preparedness, emergency response, and post-disaster damage assessment. In recognition of his innovative research, he received a Microsoft AI for Earth award in 2017. Dr. Bai also contributes actively to the international disaster science community. He served as a committee member for the ISPRS 2025 workshop “Next-Gen Disaster Management: Multi-Modal Geospatial Data and AI for Resilient Communities”.

Prof. Dr. Fulong Chen is a Professor and Deputy Director of the International Center on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO. He serves as an editorial board member for Remote Sensing, Heritage. He received his B.E. in Surveying and Mapping Engineering from Wuhan University in 2003 and his Ph.D. in Cartography and Geographic Information Systems from the Graduate University of Chinese Academy of Sciences in 2008. From 2008 to 2012, he was a Postdoctoral Research Fellow and Research Associate at the Institute of Space and Earth Information Science, The Chinese University of Hong Kong. He was selected as the 100-Talents Program of Chinese Academy of Sciences and the "Winner of Young Scientists in Global Frontier Science and Technology" of WGDC 2020. His current research focuses on remote sensing for sustainable development goals (SDGs), interferometric SAR applications in geohazards and cultural heritage, and intelligent remote sensing data processing and modeling. In these areas, he has published over 130 academic papers and has led more than 15 national and other research projects in the past five years.

Xiang Li is a Lecturer in Computer Vision at the University of Bristol. His research focuses on computer vision and AI for Earth observation. Before joining the University of Bristol, he was a Lecturer at the University of Reading. He previously held postdoctoral research positions at King Abdullah University of Science and Technology and New York University. He received his Ph.D. from the Chinese Academy of Sciences and his B.S. from Wuhan University. He has published over 60 papers in leading journals and conferences in computer vision, machine learning, and remote sensing, attracting more than 10,000 citations in Google Scholar. He received the 2025 IEEE GRSS Early Career Award and has also served as an Area Chair, Associate Editor, workshop organizer, and reviewer for major conferences and journals.