Biography
Dionissios Hristopulos is a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete, where he also serves as Director of the Master's program in Machine Learning and Data Science. He holds a Diploma in Electrical Engineering from the National Technical University of Athens and a PhD in Physics from Princeton University.
His academic and research career includes appointments at the Department of Environmental Sciences and Engineering at the University of North Carolina at Chapel Hill and the Pulp and Paper Research Institute of Canada. He is a member of the editorial boards of Computers & Geosciences (Elsevier), Spatial Statistics (Elsevier) and Stochastic Environmental Research and Risk Assessment (Springer).
Dionissios has co-authored over 100 peer-reviewed publications and is the author of the monograph Random Fields for Spatial Data Modeling: A Primer for Scientists and Engineers (Springer, 2020). His research achievements have been recognized with distinctions such as sharing the Johannes A. Van den Akker International Prize for Advances in Paper Physics in 2003 and receiving the Georges Matheron Lectureship from the International Association of Mathematical Geosciences in 2024.
Research Interests
His research explores the intersection of spatiotemporal statistics, time series analysis, statistical physics, and machine learning, along with their practical applications.