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