Research in smart spatial data governance must seize the opportunity to intelligently collect and retrieve the diverse geospatial data available today and use spatial analysis, spatial statistics and artificial intelligence (AI) methodologies like deep learning to address pressing environmental and socioeconomic challenges requiring solutions at local to global scales. A particular issue concerns the uncertainty and quality of spatial data and spatial analyses. To this end there is a need to explore AI potentials to intelligently evaluate the collection, management, fusion, and representation of spatial data and assess uncertainty modeling and their impacts of informed decision making to support sustainable development.
Centre of Excellence in Geomatic Eng. in Disaster Management, and Land Administration in Smart City Lab., School of Surveying and Geospatial Eng. College of Engineering University of Tehran, Tehran, Iran, email@example.com
Mahmoud Reza Delavar has obtained a BSc. in Civil Eng.-Surveying from KNT University, Iran, a MSc. in Civil Eng.-Photogrammetry and RS from University of Roorkee, India and a PhD in Geomatic Eng.-GIS from UNSW, Australia. Dr. Delavar is a Prof. in GIS and Director, Center of Excellence in Geomatic Eng. in Disaster Management and Land Administration in Smart City Lab., College of Eng., University of Tehran. He is chairing ISPRS WG IV/2 (Artificial Intelligence and Uncertainty Modeling in Spatial Analysis), 2022-2026 and published 398 papers in reputable national and international conferences and research Journals. Prof. Delavar has supervised 118 MSc., PhD and Postdoc research so far and is in the editorial board of IJGI and GSIS. His research interests are in data quality, temporal GIS, disaster management, smart cities, cadaster, SDI and urban growth modeling.
Dept. of Geodesy and Geoinformation, TU Wien Gußhausstr, Wien, Austria, firstname.lastname@example.org
Gerhard NAVRATIL holds a master (Dipl.-Ing., 1998) in Surveying and a PhD in technical sciences (2002), both from TU Wien. At the same university he received the right to teach (venia docendi) in 2007. His research covers land information systems, spatial data quality, legal and technical issues of geographical information systems, and spatial decision making.
Department of Informatics, Mimar Sinan Fine Arts University, Bomonti Kampüsü Cumhuriyet Mah. Silahşör Cad, İstanbul, Turkey, email@example.com
Umit Isikdag is a Professor of Construction Informatics at the Department of Informatics in Mimar Sinan Fine Arts University. He holds PhD in Construction Informatics from the University of Salford. His research interests are in 3D GIS, BIM, BIM-GIS Integration, Machine and Deep Learning, Internet of Things, and Structural Equation Modelling. He is the co-chair of ISPRS WG IV/2 and currently the Associate Editor of SASBE and Frontiers in Built Environment BIM Section. He has published 6 books and numerous research papers in reputable journals and international conferences. He chaired various academic conferences until today.
Department of Statistics, University of Pretoria, South Africa, firstname.lastname@example.org
Prof Inger Fabris-Rotelli is an associate professor in the Department of Statistics at the University of Pretoria. She has been at the Department of Statistics since 2004 and holds a PhD Mathematical Sciences. Her research interests are in spatial statistics and GIS, as well as remote sensing and general image processing. The research focuses on applied areas, developing mathematical and statistical methodology for image processing, remote sensing and spatial statistics with impact in areas of criminology, epidemiology (COVID-19) and biostatistics, and informal road modelling. She served on the executive of the South African Statistical Association (SASA) from 2012 until 2018, and as a director on the ICCSSA (Institute of Certificated and Chartered Statisticians in South Africa) board from 2019. She is the current president of SASA and the CEO of ICCSSA. Among others she is also a member of ISI, ISPRS and IMS internationally, and the Golden Key Society, SASA, S2A3, SAMS, ICCSSA (registered as a Chartered Statistician from 2019 - 2023). She is a SACNASP council member for the period 2021 to 2025, is a Registered Professional Natural Scientist with SACNASP, and has a National Research Foundation Y2 rating in recognition of her research.
The ISPRS Geospatial Week (GSW) is a combination of workshops organised by about 30 ISPRS Working Groups active in areas of interest of ISPRS.
The Mohammed Bin Rashid Space Centre (MBRSC) is a Dubai Government entity which aims to promote scientific innovation and technological advancement in the UAE.
Mohammed Bin Rashid Space Centre (MBRSC)
Al Khawaneej Area
Phone : +971-4-6071200
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