Institute of Applied and Computational Mathematics
IACM is one of the few research institutes in Europe dedicated to promoting the use of advanced mathematics in natural sciences and engineering
YIANNIS KAMARIANAKIS
Yiannis Kamarianakis is currently a Principal Researcher at IACM-FORTH and a faculty member in the Data Analysis & Machine-Statistical Learning graduate program, University of Crete. He 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); furthermore he served as Assistant Professor at the School of Mathematical and Statistical Sciences, Arizona State University (2013-2018). He returned to Greece and has been working at IACM-FORTH since 2018.
YK 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 prestigious 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 has filed 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. In 2013 he received a prize in TRB’s forecasting competition and was a member of IBM’s teams that achieved 2 runners up positions in IEEE data mining competitions (2010). Currently, he serves as Associate Editor for i) IEEE Transactions on Intelligent Transportation Systems and ii) Frontiers in Environmental Science (section Big Data, AI, and the Environment) and as a member of the Editorial Advisory board for Transportation Research Part C: Emerging Technologies.
YK 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 prestigious 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 has filed 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. In 2013 he received a prize in TRB’s forecasting competition and was a member of IBM’s teams that achieved 2 runners up positions in IEEE data mining competitions (2010). Currently, he serves as Associate Editor for i) IEEE Transactions on Intelligent Transportation Systems and ii) Frontiers in Environmental Science (section Big Data, AI, and the Environment) and as a member of the Editorial Advisory board for Transportation Research Part C: Emerging Technologies.