Lecture Series in Pattern Recognition
题 目 (TITLE)：Challenges in Building Social Life Networks
讲 座 人 (SPEAKER)：Prof. Ramesh Jain, Information & Computer Sciences at University of California
主 持 人 (CHAIR)：Prof. Kaiqi Huang
时 间 (TIME)： August 15(Thursay), 2013, 9:45 - 10:30 AM
地 点 (VENUE)：No.1 Conference Room (3rd floor), Intelligence Building
Availability of enormous volumes of heterogeneous geo-spatial data streams offer a great opportunity for addressing some important societal problems, which require addressing several interesting challenges. Heterogeneous data streams generated by social media, sensor networks, internet of things, and digitalization of transactions may allow design and implementation of networks to connect people with other people and essential life resources. We call these networks Social Life Networks (SLN). This is the right time to focus efforts to discover and develop technology and infrastructure to design and build these networks and to apply them for solving several essential societal problems to help people in their everyday life as well as during abnormal situations. A person needs to be connected to appropriate resources under the given situations. Situations in a SLN should be detected by using heterogeneous data streams. We are building a software framework for situation recognition and determining personal context to connect people to resources efficiently, effectively, and timely. This is only the very first step in connecting people to needed resources using SLN. We will discuss our ideas and present our research in situation recognition, EventShop, and making connections.
Prof. Ramesh Jain is an entrepreneur, researcher, and educator. He 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. He has also been advisor to several other companies including some of the largest companies in media and search space.
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 searching multimedia data and creating EventWebs for experiential computing. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010.