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Keynote Speaker – Prof. Robert Bestak (Czech Technical University in Prague)

bestakProf. Robert Bestak

Department  of Telecommunication Engineering
Faculty of Engineering, Czech Technical University in Prague
Czech Republic

Robert Bestak obtained the PhD degree in Computer Science from ENST Paris, France (2003) and MSc degree in Telecommunications from Czech Technical University in Prague, CTU, (1999). Since 2004, he has been an Assistant Professor at Department of Telecommunication Engineering, Faculty of Electrical Engineering, and CTU. He is the Czech representative in the IFIP TC6 working group. He has served as Steering and Technical Program Committees member for numerous IEEE/IFIP international conferences (Networking, WMNC, NGMAST, etc.) and he is member of editorial board of several international journals (Electronic Commerce Research Journal, etc.). He participated in several national, EU, and third party research projects (FP7-ROCKET, FP7-TROPIC, etc.). His research interests include 5G networks, spectrum management and big data in mobile networks.

Speech title in IC-STAR 2015 (Keynote Session: Day 2, 22 September,

Analyses of Mobile Positioning Data

Progress in the field of information sources, their digitization, visualization and analytical data extraction makes possible to enhance data about society behavior, demographic characteristics, etc. Mobile devices apart from their main purpose to support and provide various applications to their users also in parallel generate a big amount of signaling data that reflect the devices’ usage and movement in a network. Due to high penetration and massive usage of mobile devices, these devices become then a unique source of information describing the behavior of users in space and in time. Positioning data allows data owners (mobile operates) to develop and to provide new innovative services that can be used in decision-making processes. In this talk, we will discuss how mobile users can be classified and mapped into an area of interest based on mobile positioning data. Furthermore, a utilization of such data to detect people traveling in public transport like busses and trains, and to determine where people get on and get off will be outlined.

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