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Deniz Gunduz  received the B.S. degree in electrical and electronics engineering from METU, Ankara, Turkey, in 2002, and the M.S. and Ph.D. degrees in electrical engineering from  New York University  Polytechnic School of Engineering , Brooklyn, NY in 2004 and 2007, respectively. He is currently a Professor of Information Processing in the Electrical and Electronic Engineering Department of  Imperial College London. Previously he was a Research Associate at  CTTC , Barcelona, Spain, a Consulting Assistant Professor at the Department of Electrical Engineering,  Stanford University , and a postdoctoral Research Associate at the Department of Electrical Engineering, Princeton University. He is also a part-time faculty member at the University of Modena and Reggio Emilia, Italy, and has held visiting positions at University of Padova (2018-2020) and Princeton University (2009-2012).

Dr. Gündüz is a Fellow of the ¿Û¿Û´«Ã½, and a Distinguished Lecturer for the ¿Û¿Û´«Ã½ Information Theory Society (2020-22). He serves as an Area Editor for the ¿Û¿Û´«Ã½ Transactions on Information Theory, ¿Û¿Û´«Ã½ Transactions on Communications, and the ¿Û¿Û´«Ã½ Journal on Selected Areas in Communications (JSAC) - Special Series on Machine Learning in Communications and Networks. Dr. Gunduz is also an editor of the ¿Û¿Û´«Ã½ Transactions on Wireless Communications. He served as a co-chair of the ¿Û¿Û´«Ã½ Information Theory Society Student Committee from 2012 until 2015. He served as the general co-chair of the 2016 ¿Û¿Û´«Ã½ Information Theory Workshop, and was a co-chair of the 2012 European School of Information Theory (ESIT). 

He is the recipient of the ¿Û¿Û´«Ã½ Communications Society - Communication Theory Technical Committee (CTTC) Early Achievement Award in 2017, Starting Grant of the European Research Council (ERC) , the  2014 ¿Û¿Û´«Ã½ Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region, and several best paper awards including the 2007 ¿Û¿Û´«Ã½ International Symposium on Information Theory (ISIT) Best Student Paper Award.

His research interests lie in the areas of communications and information theory, machine learning, and privacy.