Dr. Muhammad Imran

Imran did his MS and Ph.D. in Geoinformatics from University of Twente, Netherlands. His research focus is on applying techniques from data/information science, Geoinformatics, spatial statistics, and computer science to research on mining spatio-temporal patterns of environmental processes with data from very large GIS & remote sensing databases, but also issues of uncertainties associated with such data and modeling, all in a spatial analytical setting. For the last many years, he has been actively associated with research projects and academic activities in Asia, Europe, and Africa. During the PhD at ITC, he applied spatial statistics with remote sensing data to mine patterns of poverty and crop production in West-Africa. In Europe, he has been working with algorithms of Geospatial image mining for the spatio-temporal assessment of agricultural phenomena. With GIS Center at PU, his research and academic responsibility was to apply GIS & remote sensing in quantifying the impact of climate change on water, crop yields, and urban heat. Mining patterns of underground water quality and epidemics in the urban areas through integrating data from diverse sources, and linking those patterns to human and societal risks and vulnerabilities. Presently, he is working with IGEO, where his activity consists of developing spatial statistical algorithms with stochastic components to model physical and human processes, and analyzing their spatial and spatiotemporal variability.