A flood of data pertinent to moving objects is available today, and will be more in the near future, particularly due to the automated collection of telecom data from mobile phones and other location-aware devices. Such wealth of data, referenced both in space and time, may enable novel classes of applications and services of high societal and economic impact, provided that the discovery of consumable and concise knowledge out of these raw data is made possible. Data Science is exactly the science of collecting, processing and analyzing large volumes of data. In this series of talks we present the case of Mobility Data: the issues and challenges of gathering useful (i.e. noise free) data, the required infrastructure (Moving Object Database engines), the methods and techniques for efficient indexing, processing, analysing, and mining mobility data, towards advanced location-aware applications and services, including Location-based Social Networks (LBSN). The presentations will be enriched by real case studies on top of Hermes Moving Object Database (MOD) engine developed at InfoLab
Mon-Thu, 9.30am - 12.30pm & 2.00pm - 5.00pm, room PC 5 (bld 36a - Ispra)
Yannis Theodoridis is 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. 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. He is or was principal investigator for a number of EU-funded research projects (with FP7/MODAP, COST/MOVE, FP7/DATASIM and FP7/SEEK being the most recent). He has served as general co-chair for SSTD'03, ECML/PKDD'11 and PCI'12, vice PC chair for IEEE ICDM'08, member of the editorial board of the Int'l Journal on Data Warehousing and Mining (since 2005), and member of the SSTD endowment (since 2010). He has delivered invited lectures in Greece and abroad (including PhD/MSc-level seminars at Venice, Milano, KAUST, Aalborg, Trento, Ghent and Cyprus) 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.
Nikos Pelekis is Lecturer at the Department of Statistics and Insurance Science, University of Piraeus, Greece. Born in 1975, he received his B.Sc. in Computer Science from the University of Crete (1998), his M.Sc. in Information Systems Engineering (1999) and his Ph.D. in Moving Object Databases (2002), both from the University of Manchester Institute of Science and Technology (UMIST). His research interests include data mining, spatiotemporal databases, management of location-based services, machine learning and geographical information systems, whereas he teaches respective courses at under- and post- graduate level. He has been particularly working for almost ten years in the field of Mobility Data Man-agement and Mining, being the architect of the widely cited 'Hermes' Moving Object Database (MOD) engine. He has offered several invited lectures in Greece and abroad (including PhD/MSc/summer courses at Rhodes, Milano, KAUST, Aalborg and Trento) on Mobility Data Management and Data Mining topics. He has co-authored more than 50 research papers and book chapters, while he is a re-viewer in many international journals and conferences. He has served as co-Organizer of a EURO Stream on data mining and knowledge discovery (DMKD@EURO 2009). He has been member of the Organizing Committee for ECML/PKDD 2011. He is or was principal investigator for a number of EU-funded research projects (with FP7/MODAP, COST/MOVE, FP7/DATASIM and FP7/SEEK being the most recent).