|  Speaker  |  : | Dr. 
            S. S. Iyengar is the Roy Paul 
            Daniels Distinguished 
            Professor 
            of 
            Computer Science at Louisiana State University and 
            Chairman  
            Sensor Network Laboratory.He is 
            also Satish Dhawan Chaired Professor at Indian Institute of Science. 
            He has been involved with research in high-performance algorithms, 
            data structures, sensor fusion, data mining, and intelligent systems 
            since receiving his Ph.D. degree in 1974.  He has directed over 
            40 Ph.D. students, many of whom are faculty at major universities 
            worldwide or scientists or engineers at national labs/industry 
            around the world.  His publications include 15 books (authored 
            or coauthored, edited; Prentice-Hall, CRC Press, IEEE Computer 
            Society Press, John Wiley & Sons, etc.) and over 350 research 
            papers in refereed journals and conferences. He has won many best 
            paper awards from various conferences. His research has been funded 
            by NSF, DARPA, DOE-ORNL, ONR among others. He is a Fellow of ACM, 
            Fellow of the IEEE, Fellow of AAAS. Dr. Iyengar is the winner of the 
            many IEEE Computer Society Awards. Dr. Iyengar was awarded the LSU 
            Distinguished Faculty Award for Excellence in Research, the Hub 
            Cotton Award for Faculty Excellence, and many other awards at 
            LSU.  He received the Prestigious Distinguished Alumnus Award 
            from Indian Institute of Science, Bangalore in 2003. Also, Elected 
            Member of European Academy of Sciences (2002).  He is a member 
            of the New York Academy of Sciences.  He has been the Program 
            Chairman for many national/international conferences. He has given 
            over 100 plenary talks and keynote lectures at numerous national and 
            international conferences.  | 
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          | Abstract |  : | Embedded sensor 
            networks are distributed systems for sensing and in situ processing 
            of spatially and temporally dense data from resource-limited and 
            harsh environments such as seismic zones, ecological contamination 
            sites are battle fields. From an application point of view, many 
            interesting questions arise from sensor network technology that go 
            far beyond the networking/computing aspects of the embedded system. 
            This talk presents an overview of various open problems that are 
            both of mathematical and engineering interests. These 
            problems include sensor-centric quality of routing/energy 
            optimization among other graph theoretic 
            problems.    http://www.csc.lsu.edu/~iyengar |  |