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GMU C4I Center Seminar
EventShop: Toward Personalized Situation Recognition
Dr. Vivek K. Singh
MIT Media Lab
Wednesday, September 11, 2013 at 03:00 PM
Nguyen Engineering building, Room 4705
ABSTRACT
The real value of Big Data lies in its potential to provide actionable insights in multiple applications.
Combined effectively, real-time human and sensor data streams can be used to recognize and respond to
situations in applications like disaster mitigation, health, defense, traffic, and business intelligence.
I present a framework that uses a unified data model to integrate different streams, and provides a set
of generic operators to model complex situations. EventShop can be used to combine heterogeneous data
streams, recognize situations, and send personalized alerts to millions of users. Recently, EventShop
was used to detect Fall season onset based on Flickr uploads, to give personalized activity recommendations
to Asthmatic patients, and to send out alerts to users in risky situations during the Hurricane 'Sandy'.
BIOs
Dr. Vivek Singh is a post-doctoral researcher working with the Human Dynamics group at MIT Media Lab.
He holds a Ph.D. in Computer Science from the University of California, Irvine. He obtained his Bachelors
and Masters degrees in Computer Science from the National University of Singapore, and was a Lecturer at
the Institute of Technical Education, Singapore for 4 years. His work has received two best paper awards
so far and he was selected as one of the 'Emerging leaders in multimedia research' by IBM Research Labs in
2009. He is general co-chair of the first ACM Workshop on 'Personal Data Meets Distributed Multimedia' to
be held in Oct 2013. His research interests lie at the intersection of Big Data Analytics, Social
Computing and Multimedia.
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