Home > Seminars > Goce Trajcevski - Context Aware Entanglement of D and A in Mobile Data Analytics

Goce Trajcevski - Context Aware Entanglement of D and A in Mobile Data Analytics


1/19/2017 at 3:30PM


1/19/2017 at 5:00PM


217 DeBartolo


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Kevin Bowyer

Kevin Bowyer

VIEW FULL PROFILE Email: kwb@nd.edu
Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall


Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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The spectrum of the “everyday technologies” has experienced an unprecedented growth in the recent years, bringing about not only novel trends/paradigms but also unexpected intertwining of (seemingly) unrelated disruptive trends. One such example is the coupling of Mobility and Big Data, spurring emerging use cases/applications such as crowd-sourced traffic (Waze), instant limo service (Uber), usage-based insurance apps (Drive Factor), and healthcare platforms (CarePass). With the advent of the Internet of Things and the vision of Smart Cities – which has Smart Mobility as one if its main defining areas – we are facing the reality which has over 80 million cars sold per year, each car being capable of generating ~20GB of heterogeneous data (not counting the data due to various apps) per hour. Complementary to this, we have the domains of efficient management of urban infrastructure/grid; precision agriculture as part of the FEW Nexus; public safety in large crowds; etc… in which the analytics of mobile data has challenges with high societal impact.

This talk will address a specific facet of the Mobile Data Analytics – namely, the entanglement of the smart data (as opposed to the plain Big Data) and analytics based queries used for various decision-making tasks. Specifically, the postulate is that significant benefits can be obtained in multiple contexts if one carefully manages the foveation between the “D” and the “A” aspects. The talk will consist of three parts. After a brief introduction and motivation, partly serving the purpose of placing our current research in the “big picture”, the second part of the talk will discuss in greater detail a specific recent result: Continuous Maximum Range-Sum (Co-MaxRS) query. The last part of the talk will: (i) expand the focused aspects of the Co-MaxRS and elaborate on the kinds of entanglement between the “D” and “A” in this setting; (ii) present the vision/desiderata and the broader set of challenges that we would like to tackle in the future.

Seminar Speaker:

Goce Trajcevski

Goce Trajcevski

Northwestern University

Goce Trajcevski received his PhD from the Dept. of Computer Science at the University of Illinois at Chicago, and is currently an Assistant Chairman with the Department of Electrical Engineering and Computer Science at the Northwestern University. His main research interests are in the areas of spatio-temoral data management, routing and data management in wireless sensor networks,  and reactive behavior in dynamic systems. He has published over 100 papers in refereed conferences and journals and received a Best Paper Award at the CoopIS conference (2000), Best Paper Award at the IEEE MDM conference (2010) and Best Short Paper Award at ACM MSWiM conference (2013). His research has been funded by BEA, Northrop Grumman Corp., several NSF grants and ONR. He is presently an Associate Editor of GeoInformatica and ACM Transactions on Spatial Algorithms and Systems (TSAS) journals. He has served on program and organizing committees in numerous conferences and workshops, and was a PC Co-Chair of ADBIS 2014 and ACM SIGSPATIAL GIS 2016, and a General Co-Chair of ICDE 2014.