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Assistant Professor of Electrical and Computer Engineering Affiliation: NYU Abu Dhabi
Education: MS and PhD, University of Illinois at Urbana-Champaign
Nick Freris joined NYUAD as an assistant professor of Electrical and Computer Engineering in 2014. His research lies in cyberphysical systems, in particular:
- Distributed algorithms for estimation, optimization, and control
- Wireless sensor networks
- Big data: data mining/machine learning algorithms with provable guarantees
- Signal processing and sparse sampling
Dr. Freris has published in several top-tier journals and conferences on Electrical Engineering, Computer Science and Applied Mathematics, held by IEEE, ACM, and SIAM. His research was recognized with two IBM invention achievement awards, a Vodafone fellowship and the Gerondelis foundation award.
Previously, Dr. Freris was a senior researcher in the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, where he was the project manager of a long-standing collaboration with Qualcomm, San Diego, conducting research on sparse sampling and wireless sensor networks, as well as supervising several MS and PhD students. From 2010-2012, he was a postdoctoral researcher in IBM Research - Zurich, Switzerland, where he was involved in a 5-year ERC project on Big Data, as well as the IBM Operations Research Group. During his graduate years, he also worked as an intern in Deutsche Telekom and Xerox Research labs. Dr. Freris is a member of IEEE, SIAM and the Technical Chamber of Greece.