Prof. Mahmoud Reza Delavar
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran

Biography:

Mahmoud R. Delavar received the B.Sc. degree in civil engineering and surveying from Khajeh Nasir Toosi University, Tehran, Iran, in 1988, the M.Sc. degree in civil engineering photogrammetry and remote sensing from the University of Roorkee (currently IIT Roorkee), Roorkee, India, in 1992, and the Ph.D. degree in geomatic engineering and geographic information system (GIS) from the University of New South Wales, Sydney, NSW, Australia, in 1997.,In 1998, he joined the College of Engineering, University of Tehran, Tehran, Iran, where he is currently a Full Professor of GIS and the Director of Center of Excellence in Geomatic Engineering in Disaster Management, School of Surveying and Geospatial Engineering. He has founded the Iranian Society of Surveying and Geomatic Engineering in 2001. He has been the national representative of the International Society of Urban Data Management since 2006, the Scientific Secretary of the International Society for Photogrammetry and Remote Sensing WG II/4 (uncertainty modeling and quality control for spatial data), in 2008–2012, and chairing ISPRS WG IV/3 (spatial data analysis, statistics, and uncertainty modeling), in 2016–2022. He is the representative of the University of Tehran in the International Geomatic network for networks. He is in the editorial board of a number of national and international scientific journals, such as ISPRS International Journal of GeoInformation, Spatial Statistics (Ex. Editorial Board), and International Journal of Geo-spatial Information Science. He has authored or coauthored more than 373 papers in national and international conferences and scientific journals. He has supervised 95 M.Sc. and 13 Ph.D. students, and 1 Postdoctoral research so far. His research interests include spatial data quality and uncertainty modeling, spatiotemporal GIS, disaster management, smart cities, land administration, SDI, spatial data fusion, spatiotemporal data mining, spatial data science, spatial big data, urban growth modeling, land use and land cover change modeling, remote sensing, and GIS integration.