Ramesh Rajagopalan
Engineering
University of Saint Thomas Saint Paul
United States of America
Biography
Ramesh’s research interests are in the areas of wireless communications, genetic algorithms, and sensor networks. His research proposed a new paradigm of multi-objective optimization for solving sensor network design problems. Multi-objective optimization has wide applications in a variety of real world problems such as target detection in sensor networks, routing protocols, evacuation planning, personnel deployment in emergency rescue operations, and indoor environment monitoring. Ramesh has developed innovative multi-objective optimization algorithms for many of these applications. His research has led to multiple conference and journal papers. He was awarded the graduate school Masters prize and the all university Doctoral prize at Syracuse University in recognition of his research and scholarship. Before joining Saint Thomas, Ramesh was a faculty member at Florida State University where he taught graduate and undergraduate courses in the areas of circuit theory, communications, computer networks, and electronics.
Research Interest
Wireless communications, sensor networks, intelligent systems, genetic algorithms, and multi-objective optimization
Publications
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Rajagopalan R, Mohan CK, Mehrotra KG, Varshney PK. Emoca: An evolutionary multi-objective crowding algorithm. Journal of Intelligent Systems. 2008;17(1-3):107-24.
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Rajagopalan R, Varshney PK. Connectivity analysis of wireless sensor networks with regular topologies in the presence of channel fading. IEEE Transactions on wireless communications. 2009 Jul;8(7).
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Masazade E, Rajagopalan R, Varshney PK, Mohan CK, Sendur GK, Keskinoz M. A multiobjective optimization approach to obtain decision thresholds for distributed detection in wireless sensor networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 2010 Apr;40(2):444-57.
