here - 16th IEEE International Conference on Mobile Data

Mobility and Big Data: adding an M to the Vs, or not?
Evaggelia Pitoura
University of Ioannina, Greece
Email: [email protected]
Panos K. Chrysanthis
University of Pittsburgh, USA
Email: [email protected]
A BSTRACT
Big Data is the new big thing in data management. Various Vs have been proposed to define the term “big data” with
Volume, Variety and Velocity being the most prominent among them. In this panel, we shall focus on the mobility aspect.
Does mobility introduce new challenges, aspects and opportunities to big data research and practice? We shall view
mobility in a broad sense to encompass all aspects related to wireless, portable and tiny devices and the data that are
produced and consumed by such devices. Such data may be small but are of extreme volume, variety and velocity, as well
of high variability and low veracity.
The panelists will be asked to identify the characteristics of mobile data (if any) that require revising data management
techniques for big data viewed from various perspectives, human and computational, including issues such as personalization,
privacy, energy, and distribution. Other questions to be addressed by the panel include: What new approaches and tools are
required to manage mobile big data? Are there any applications pertinent to mobile big data? For example, novel applications
that exploit big data produced from mobile devices, or run on mobile devices and access or manage big data.
S HORT B IOGRAPHIES OF PANEL C OORDINATORS
Evaggelia Pitoura is a Professor with the Computer Science and Engineering Department, University of Ioannina, Ioannina,
Greece where she also leads the Distributed Data Management Group. She received the B.Sc. degree from the University of
Patras, Greece and the M.Sc. and Ph.D. degrees from Purdue University. Her research interests are in the area of data management
systems with a recent focus on social networks and graphs. She serves regularly on the PC of all major conferences in her field,
she is on the editorial board of the TKDE and DAPD journals and among other she is/was PC chair of EDBT 2016, pc co-chair
of ICDE 2012, Demo PC co-chair of VLDB12 and Poster committee co-chair of WWW 2010 and WWW 2009. For her research,
she has received three Best Paper Awards (ICDE 1999, VLDB 2013, DBSocial 2013), a Marie Currie Fellowship (2009) and two
Recognition of Service Awards from ACM.
Panos K. Chrysanthis is a Professor of Computer Science and the founder and director of the Advanced Data Management
Technologies Laboratory at the University of Pittsburgh. He received his BS degree (Physics with concentration in Computer
Science, 1982) from the University of Athens, Greece. He earned his MS and PhD degrees (Computer and Information Sciences,
1986 and 1991) from the University of Massachusetts at Amherst. Among his research interests are big database systems,
data stream processing, mobile and pervasive data management, and distributed computing. He has fostered interdisciplinary
collaborations between computer science, medicine, astronomy and mechanical engineering, both within and outside the University
of Pittsburgh. His research contributions in principles, algorithms and prototypes to data management have been documented in
more than 150 papers in top journals and prestigious, peer-reviewed conferences and workshops. In 1995, he received one of the
first NSF CAREER Awards for his pioneer work on mobile data management and in 2010, he was recognized as a Distinguished
Scientist by ACM. In 2007, he was also elevated to the level of a Senior Member of IEEE. The impact of his work is also evident
in his appointment to the editorial board of several journals, his selection as a General and Program Chair of conferences and
workshops – including MDM 2003, 2005, 2011 and 2014 and his invitations as a keynote speaker in various meetings. He was invited to offer tutorials,
contribute book chapters, and organize and participate in NSF planning meetings. He has repeatedly served as a Program Committee member in all major
data management conferences and his work has appeared in textbooks.