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Khandani Receives NSF Grant for Research on Information Flow Theory

Khandani Receives NSF Grant for Research on Information Flow Theory

Dr. Mehdi Kalantari Khandani
Dr. Mehdi Kalantari Khandani

Research Scientist Dr. Mehdi Kalantari Khandani (ECE/ISR), an ECE alumnus, received a three-year National Science Foundation (NSF) grant for his research on Information Flow Theory in Dense Wireless Networks.

Future wireless networks will be largely composed of a massive number of nodes densely distributed in large geographical areas. Careful analysis of these networks reveals a prohibitive level of complexity due to the uncoordinated interactions between each pair of nodes in the network.

Dr. Khandani's methodology models a dense wireless network by a continuum of nodes. The spatially continuous model of information flow is a very promising methodology to overcome the prohibitive complexity of conventional discrete space methods. The project is an important step towards development of a theory of information flow in dense wireless networks. Such a theory is the wireless networking counterpart of the classical flow theory of other branches of science and engineering such as fluid dynamics, heat exchange, and electrostatics.

More information can be found at the NSF website.

Khandani received his Ph.D. in electrical engineering at the University of Maryland in 2005. His advisor was Prof. Mark Shayman. He also served as President of the ECE Graduate Student Association (ECEGSA) in 2004-05.

September 27, 2007


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