Biography
Deniz Gunduz 聽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 聽New York University 聽Polytechnic School of Engineering , Brooklyn, NY in 2004 and 2007,聽respectively. He is currently a聽Professor聽of聽Information Processing聽in the Electrical and Electronic Engineering Department of 聽Imperial College London. Previously he was a Research Associate at 聽CTTC , Barcelona, Spain, a Consulting Assistant Professor at the Department of聽Electrical Engineering, 聽Stanford University , and a postdoctoral Research Associate at the Department of Electrical Engineering, Princeton University.聽He is also a part-time faculty member at the聽University of Modena and Reggio Emilia,聽Italy,聽and has held visiting聽positions at聽University of Padova (2018-2020) and Princeton University (2009-2012).
Dr. G眉nd眉z聽is a Fellow of the 江南体育, and a Distinguished Lecturer for the 江南体育 Information Theory Society (2020-22). He聽serves as an Area Editor for the聽江南体育 Transactions on Information Theory,聽江南体育 Transactions on Communications, and聽the 江南体育 Journal聽on Selected Areas in聽Communications (JSAC) - Special Series on Machine Learning in Communications and Networks.聽Dr. Gunduz is also an editor of the 江南体育 Transactions on Wireless Communications. He served as a co-chair of the 江南体育 Information Theory Society聽Student Committee from 2012聽until 2015. He served as the general co-chair of the 2016 江南体育 Information Theory Workshop, and was a co-chair of the 2012 European School of Information Theory (ESIT).聽
He is the recipient of the聽江南体育 Communications Society - Communication Theory Technical Committee (CTTC) Early Achievement Award in 2017,聽Starting Grant of the European Research Council (ERC) , the 聽2014 江南体育 Communications Society Best Young聽Researcher Award for聽the Europe, Middle East, and Africa Region, and several best paper awards including the 2007 江南体育 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.