Σεμινάριο Τμήματος & CEID social hour
Ημερομηνία-χώρος: Παρασκευή 6 Ιουλίου, 3-5μμ, Κτίριο Β (Αίθουσα ΑΣ)
Ομιλητής: Γιώτα Κατσικούλη, Post-doctoral Fellow at Inria, INSA-Lyon, CITI
Τίτλος: Distributed and Privacy Preserving Algorithms for Mobility Information Processing
Περίληψη: In this talk we will discuss issues in location data analysis. The sensing capabilities of modern smart-phones, wearables and mobile devices in general offer the means to analyze and interpret our behaviour and surroundings. When it comes to human behaviour, perhaps the most informative feature is our location and mobility habits. Insights from human mobility are useful in a number of everyday practical applications, such as the improvement of transportation and road network infrastructure, ride-sharing services, activity recognition, mobile data pre-fetching, analysis of the social behaviour of humans, etc. The analysis of mobility data is a non trivial task as it involves managing large quantities of location information, usually spread out spatially and temporally across many tracking sensors. An additional challenge in processing mobility information is to publish the data and the results of its analysis without jeopardizing the privacy of the involved individuals or the quality of the data. We will look into a series of problems on processing mobility data from individuals and from a population. We will present efficient algorithms, in terms of storage and computation requirements, with provable properties that allow for the fast and reliable extraction of insights. Our algorithms have been designed with a focus on distributed computation, online processing and privacy preservation. Last, we will summarize results taken on real datasets.