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Short-term Visiting Faculty

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Associate Professor
12-15 November 2012
Mobile:
ytheod-AT-unipi.gr

Miscellaneous Information

Miscellaneous Information:
University of Piraeus, Greece
Yannis Theodoridis is Assoc. Professor at the Department of Informatics, University of Piraeus, where he currently leads the Information Management Lab. Born in 1967, he received his Diploma (1990) and Ph.D. (1996) in Electrical and Computer Engineering, both from the National Technical University of Athens, Greece. Before joining the University of Piraeus, he was member of the research staff at the Hellenic Research Foundation (1997-98) and the Computer Technology Inst. (1999-2002). Apart from several national-level projects, he is or was scientist in charge and coordinator of two European projects, namely PANDA (FP6/IST, 2001-04) and CODMINE (FP6/IST, 2002-03), and principal investigator in GeoPKDD (FP6/IST, 2005-09), MODAP (FP7/ICT, 2009-12; member of the management board), MOVE (COST, 2009-13; vice-chair of the management committee), DATASIM (FP7/ICT, 2011-14) and SEEK (FP7/PEOPLE, 2012-15). He has served as general co-chair for SSTD'03, ECML/PKDD'11 and PCI'12, vice PC chair for IEEE ICDM'08, organizing chair for the 2010 summer school on “Mobility, Data Mining, and Privacy”, member of the editorial board of the Int'l Journal on Data Warehousing and Mining – IJDWM (2005-), and member of the SSTD endowment (2010-). He has offered several tutorials in top conferences (with the most recent being at EDBT’09) and invited lectures in Greece and abroad (including PhD/MSc courses at Venice, Milano, KAUST, Aalborg, Trento and Ghent) on the topic of Mobility Data Management and Exploration. He has co-authored three monographs and more than 100 refereed articles in scientific journals and conferences, receiving more than 800 citations. For more information: http://www.unipi.gr/faculty/ytheod and http://infolab.cs.unipi.gr.
His research interests include Data Science (management, analysis, mining) for mobility data, whereas he teaches databases, data mining and GIS at under- and post- graduate level.