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Alumnus Ravi Tandon (EE Ph.D. 2010) has received an NSF CAREER Award for “Communication-Efficient Distributed Computation: Information-Theoretic Foundations and Algorithms.”

The five-year, $500K award funds research to design scheduling, data movement and data shuffling algorithms for efficient processing of data among multiple processors in big data applications such as healthcare analytics, cybersecurity, and scientific computing.

Since August 2015, Tandon has been an assistant professor of electrical and computer engineering at the University of Arizona. At Maryland, Tandon was advised by Professor Sennur Ulukus (ECE/ISR). Following his Ph.D. at Maryland, Tandon completed a post-doctoral fellowship at Princeton University with Vincent Poor, and held a research assistant professor position at Virginia Tech, before joining University of Arizona.

Tandon’s research interests are in information theory, wireless communications and signal processing, with applications to machine learning and data analytics, distributed cloud storage systems, cyber-physical systems, cyber-security, and privacy. For his Ph.D. thesis, he developed capacity bounds for wireless networks with feedback, relaying and cooperation.



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March 9, 2017


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