Geospatial Artificial Intelligence (GeoAI) Professors and Supervisors

Hartwig Henry Hochmairمشاهده پروفایل

استاد

University of FloridaUnited States

Hartwig Henry Hochmair is a Professor of Geomatics at the School of Forest, Fisheries, and Geomatics Sciences , University of Florida, Fort Lauderdale Research and Education Center (FLREC). Since joining the Geomatics program in 2008, he has focused on spatio-temporal analysis, data quality assessment, and the application of Geographic Information Systems (GIS) to interdisciplinary challenges in transportation, natural resource management, and urban planning. His work bridges academic research with practical GIS tools, particularly through the use of freely available geospatial data sources like OpenStreetMap and USGS Topo Maps. Research Interests : Geomatics, GIS, spatio-temporal analysis, data quality evaluation, GeoAI, OpenStreetMap, invasive species monitoring, and urban canopy analysis. Teaching : Courses include SUR 3520 Measurement Science, SUR 4350/6536 Geodesy and Geodetic Positioning, SUR 5525 Least Squares Adjustment, SUR 5365 Digital Mapping, and SUR 6103 GIS Programming. Lab : Leads the Geomatics program at FLREC, focusing on geospatial data visualization, accessibility modeling, and network analysis. His recent publications emphasize the integration of AI in geospatial workflows, comparative studies of volunteered and authoritative street data, and pandemic-induced shifts in human mobility. While no formal awards are highlighted in the provided texts, his work frequently addresses environmental challenges, technological innovations in mapping, and open data accessibility.

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Guangxing Wangمشاهده پروفایل

استاد

Indiana UniversityUnited States

Guangxing Wang is a Professor in Remote Sensing and GIS at Southern Illinois University Carbondale's Department of Geography and Environmental Resources. His research focuses on integrating geospatial technologies with environmental monitoring, particularly in carbon sequestration modeling, vegetation disturbance analysis, and terrain-based hydrology studies. Ph.D., Remote Sensing of Forest Resources, University of Helsinki (1996) M.Sc., Forest Biometrics, Central South University of Forestry and Technology, China (1985) B.S., Forestry, Central South University of Forestry and Technology, China (1982) His work emphasizes spatial statistics, sampling design optimization, and quality assessment of remote sensing/GIS products. Key applications include desertification monitoring, wetland classification, and military land condition analysis using LiDAR and satellite data. Recent publications highlight advancements in deep learning for drainage crossing detection (2023-2025), spectral unmixing techniques (2025), and enhanced carbon density mapping methodologies (2024). Earlier works (2015-2021) established foundational frameworks for forest biomass estimation and soil moisture modeling. Grants: PI for UAS vegetation mapping (2018-2022, $185,969); Permafrost monitoring in Alaska (2017-2020, $159,489) Courses Taught: Introduction to GIS, Advanced Remote Sensing, Spatial Analysis, Cartographic Design

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Filip Biljeckiمشاهده پروفایل

استادیار

École Centrale de NantesFrance

Filip Biljecki is an Assistant Professor at the National University of Singapore, jointly appointed in the Department of Architecture (College of Design and Engineering) and the Department of Real Estate (NUS Business School). He founded and leads the NUS Urban Analytics Lab, which serves as a research hub for urban data science and geospatial AI applications. His work bridges architecture, geomatics, and data science to create smarter, more sustainable urban environments. Dr. Biljecki earned his PhD in 3D GIS from Delft University of Technology with highest honors (top 5%) and completed his MSc in Geomatics at the same institution. His educational background in geospatial science forms the foundation for his innovative research in urban analytics. His research focuses on leveraging emerging urban data sources, particularly street view imagery and other visual data, to advance 3D city modeling, urban digital twins, and GeoAI applications. He investigates spatial data quality, crowdsourcing through platforms like OpenStreetMap, and develops methods to assess urban form and human perception of built environments. His work integrates computer vision, machine learning, and geospatial analysis to address pressing urban challenges related to sustainability, comfort, and equity. Analysis of his recent publications reveals a strong trend toward integrating AI with urban analytics, with particular emphasis on using street view imagery to understand urban environments. His work spans from technical aspects of 3D modeling and digital twins to human-centered applications assessing walkability, thermal comfort, and visual perception. A significant portion of his research addresses sustainability challenges through carbon analysis, urban heat island mitigation, and sustainable urban design. Presidential Young Professorship (NUS), 2020 Top 2% scientists worldwide (Stanford University), 2021 Multiple teaching excellence awards (2021-2025) Best paper awards at 3D GeoInfo (2017, 2023) EuroSDR award for best PhD thesis related to GIS in Europe, 2017 Dr. Biljecki actively supervises PhD students and research fellows through his Urban Analytics Lab, with research supported by various grants and collaborations. He serves as Associate Editor for Computers, Environment and Urban Systems and holds editorial positions with several other leading journals in geography and urban studies. His work bridges academia and practice through collaborations with industry and government agencies focused on urban development. As founder of the NUS Urban Analytics Lab, he leads a vibrant research team exploring the intersection of cities and AI. He also chairs the 3D Information Management Domain Working Group at the Open Geospatial Consortium and serves as Chair of WG IV/1 at the International Society for Photogrammetry and Remote Sensing. His leadership extends to the Future Cities Lab Global at the Singapore-ETH Centre where he serves as Principal Investigator.

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