Dr. Yiannis Kamarianakis is a Research Director at IACM-FORTH and a faculty member in the Data Analysis & Machine-Statistical Learning graduate program, University of Crete. Since 2026 he is also the Deputy Director of IACM-FORTH and serves as Chair of FORTH’s Research Ethics Committee. Previously, he served as Associate Editor for IEEE Transactions on Intelligent Transportation Systems and Frontiers in Environmental Science (section: Big Data, AI, and the Environment), as well as a member of the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies.
Dr. Kamarianakis graduated from the Department of Mathematics, University of Crete in 1998, received his M.Sc. in Statistics from the Department of Statistics, Athens University of Economics and Business in 2000, and his Ph.D. in Mathematical Economics/Finance from the Department of Economics, University of Crete, in 2007. He carried out post-doctoral research in the USA, initially at Cornell University (2008-2010) and then at IBM Research (2010-2013). From 2013 to 2018, he served as an Assistant Professor at the School of Mathematical and Statistical Sciences, Arizona State University. He returned to Greece in 2018 and has since been a researcher at the Institute of Applied and Computational Mathematics (IACM) of the Foundation for Research and Technology – Hellas (FORTH).
Dr. Kamarianakis studies applied statistics and data science with an emphasis on the analysis of spatio-temporal data; his research is frequently motivated by transportation and environmental applications. His publications appeared in leading international journals across numerous subject areas, namely Journal of Climate, Environmental Science and Technology, Remote Sensing of Environment, Journal of Geophysical Research, Transportation Research Parts C & D, International Journal of Epidemiology, Global Change Biology, Statistics in Medicine and Applied Stochastic Models in Business and Industry. Moreover YK is also the holder of 3 U.S. Patents and has worked on the development of i) forecasting tools for solar and wind power output forecasting, and ii) IBM’s Traffic Prediction Tool. His professional achievements include receiving an award in the Transportation Research Board’s forecasting competition in 2013 and being part of IBM research teams that secured two runner-up positions in IEEE data mining competitions in 2010.