Speaker |
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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 |
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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 |
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