Ramesh Jain
Department of Computer Science,
University of California,
Irvine

 


    

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 Event Web and experiential computing. 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 is a Fellow of ACM, IEEE, AAAI, IAPR, and SPIE. His current research interests are in processing massive number of geo-spatial heterogeneous data streams for building Smart Social System. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010.
Ramesh co-founded several companies, managed them in initial stages, and then turned them over to professional management.These companies include PRAJA, Virage, and ImageWare.Currently he is involved in Stikco Studio and SnapViz. He has also been advisor to several other companies including some of the largest companies in media and search space.

 

Title: Building Smart Social Systems

Abstract: One of the most challenging problems in human society is to connect needs of people to appropriate resources efficiently, effectively, and promptly.Availability of enormous volumes of heterogeneous Cyber-Physical-Social (CPS) data streamsallowsdesign and implementation of networks to detect situations with little latency. In fact, in many cases it may even be possible to predict situations well in advance. This opens up new opportunities in designing smart social systems for specific tasks. Such systems are very useful for many important problems at local as well as regional and even global level. Such systems offer many novel challenges to researchers in big data, multimedia, networking, and social computing. We present an approach towards building social life network that are first step towards such smart social systems. In particular, EventShop can be used to input and process heterogeneous data streams for we situation recognition and availability of resources; while Personal EventShop can be used to build Personicles and identify evolving personal situations and needs. This can then be used for connecting needy people with appropriate resources. This approach has been tested with several simple applications. In addition to the technical approach, its implications for emerging societal applications will be discussed.

 

http://www.ics.uci.edu/faculty/profiles/view_faculty.php?ucinetid=jain

 

 

 

 

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