Academic Research Partner
Academic Research Partner
Professor Dionissios Hristopulos (School of Electrical and Computer Engineering at the Technical University of Crete) holds a Diploma in Electrical Engineering from the National Technical University of Athens (1985), and a PhD in Physics from Princeton University, USA (1991). At Princeton he worked in the Condensed Matter Physics group of Nobel laureate Philip W. Anderson. He served in the Greek military at the Tanagra Air Force combat wing (1991-1992). He then joined the Department of Environmental Sciences and Engineering of the University of North Carolina (Chapel Hill, USA) as post-doctoral research associate (1993-1995) and as Research Assistant Professor (1995-2000). After that he worked as Research Scientist at the Pulp and Paper Research Institute of Canada (2000-2002) before moving to the Technical University of Crete (TUC) as Associate Professor in the School of Mineral Resources Engineering in 2002. He was promoted to Full Professor in 2007. In the summer of 2013 he was visiting Professor in the Division of Applied Mathematics at Brown University.
Dionissios is the coauthor of about 200 publications (journal articles, conference proceedings and abstracts, and technical reports) and the book “Spatiotemporal Environmental Health Modelling”. His recent book titled “Random Fields for Spatial Data Modeling’’ was published by Springer in 2020. Dionissios is Associate Editor for the journals Stochastic Environmental Research and Risk Assessment published by Springer and Computers and Geosciences, published by Elsevier. He has served as Director of Graduate Studies in the School of Mineral Resources Engineering at TUC from 2004 to 2009 and as Member of the University Council of the Technical University of Crete. He has coordinated and participated in national and European research projects, and he was awarded the Johannes A. Van den Akker Prize for Advances in Paper Physics in 2003 (jointly with Tetsu Uesaka). He has served on the organization and scientific committees of international conferences in Spatial Statistics and Statistical Physics. Dionissios is a member of the American Physical Society and the International Association of Mathematical Geosciences.
His current research interests include the development of new methods for spatiotemporal data modeling with applications in energy resources estimation and the analysis of environmental hazards, algorithms for the simulation and interpolation of gappy data from earth-based and remote sensing observations, applications of Time Series analysis, the application of methods and ideas from Statistical Physics to problems in Neuroscience, and applications of Machine Learning to environmental problems.