|Full Name:||Christopoulos Dionysios|
|Academic Department:||ECE (School of Electrical and Computer Engineering)|
|Location:||Office: 145Α-15, Science/ECE Building (Λ), 2nd Floor|
Dionissios Hristopulos is a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete (TUC) in Greece. He holds a Diploma in Electrical Engineering from the National Technical University of Athens (1985) and a PhD in Physics from Princeton University (1991), where he did his PhD research in the group of the Nobel Laureate in Physics Philip W. Anderson. Following mandatory military service in Greece, he worked at the University of North Carolina at Chapel Hill for two years as Post-doctoral Researcher and for five years as Research Assistant Professor in the Department of Environmental Sciences and Engineering. In 2000, Dionisis moved to the Pulp and Paper Research Institute of Canada (currently, FPInnovations). For his research he was awarded (jointly with T. Uesaka) the 2003 Johannes A. Van den Akker International Prize for Advances in Paper Physics. In 2002, Dionissios moved to the Technical University of Crete as Associate Professor in Geostatistics and was promoted to Professor in 2007 in the School of Mineral Resources Engineering.
Dionissios teaches courses in Probability, Statistics, Geostatistics, Time Series, and Random Fields. He has co-authored 202 publications (journal articles, conference proceedings and abstracts, and technical reports) as well as the books “Spatiotemporal Environmental Health Modelling” (Kluwer, 1998) and “Random Fields for Spatial Data Modeling” (Springer, 2020). Dionissios is on the Advisory Board of the journal Stochastic Environmental Research and Risk Assessment (Springer) and the Associate Editor board for Computers & Geosciences (Elsevier). He has served as Director of Graduate Studies in the School of Mineral Resources Engineering at TUC (2004-2009) and as Member of the University Council of TUC (2012-2017). Dionissios has coordinated and participated in several national and European research projects. He collaborates with engineers, statisticians, mathematicians, physicists, and geologists on the development and application of novel methods for the analysis of spatial and spatiotemporal data. Dionissios also regularly reviews articles that involve interdisciplinary applications of statistical physics, stochastic methods, spatial statistics and signal processing for various international journals.