Ramesh Jain is an entrepreneur,
researcher, and educator. He is a Donald
Bren Professor in Information & Computer Sciences at University of
California, Irvine where he is doing research in EventWeb and Experiential Computing
for developing and building Social Life
Networks. Earlier he served on
faculty of Georgia Tech, University of California at San Diego, The university
of Michigan, Ann Arbor, Wayne State University, and Indian Institute of
Technology, Kharagpur. He has been an active member of professional community
serving in various positions and contributing more than 350 research papers. He is the recipient of several awards
including the ACM SIGMM Technical Achievement Award 2010. He is a Fellow of ACM, IEEE, AAAI, IAPR, and SPIE. Ramesh co-founded several companies, managed
them in initial stages, and then turned them over to professional management. These
included PRAJA in event-based business activity monitoring (acquired by Tibco);
Virage for visual information management (a NASDAQ company acquired by
Autonomy); and ImageWare for surface modeling (acquired by SDRC). Currently he is involved in two start-ups as
cofounder and advisor: Optality and Stikco Labs. He has also been advisor to several other
companies including some of the largest companies in media and search space.
Selected
Topics: His current research focus is on developing
Social Life Networks for connecting people to resources based on their
situation. Given enormous volumes of
heterogeneous data from social networks, mobile phones, Internet of Things, and
other global sensor networks, it has become feasible to recognize situations
from a massive number of geo-spatial streams of heterogeneous data in almost
real time. His research group is
developing an open platform, called EventShop, for defining situations and
recognizing those using appropriate heterogeneous data streams. On the other hand, use of mobile phones
allows personalizing individual situations based on global knowledge. This then allows connecting people to
appropriate resources. Keywords: Social Life Networks, real-time situation recognition, events in multimedia
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