معرفی
Mehdi Moradi is an Associate Professor in Mathematical Statistics at the Department of Mathematics and Mathematical Statistics, Umeå University, Sweden. His research focuses on developing advanced methodologies for spatial and spatio-temporal marked point processes on general state spaces, including linear networks, with applications in criminology, seismology, environmental science, epidemiology, and transportation. He specializes in change-point detection, trajectory analysis, and statistical frameworks for analyzing complex spatio-temporal phenomena.
His work integrates theoretical advancements with practical applications, particularly in environmental monitoring and urban planning. Recent research emphasizes cross-validation-based statistical frameworks for point processes, function-valued marked processes on linear networks, and hierarchical spatio-temporal change-point detection. He has contributed to open-source tools like the ‘spatstat.linnet’ package for R, enhancing computational methods in spatial statistics.
Moradi’s publications span statistical theory, methodological innovation, and interdisciplinary applications, reflecting a commitment to bridging theoretical developments with real-world problem-solving. His research has been supported by grants and collaborations within Umeå University and beyond, though specific grants are not detailed in the provided text.
