Deniz Gündüz 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 NYU Polytechnic School of Engineering (formerly Polytechnic University), Brooklyn, NY, in 2004 and 2007, respectively. He is currently a Reader (Associate Professor) in the Electrical and Electronic Engineering Department of Imperial College London, and is leading the Information Processing and Communications Lab. He is also the Deputy Head of the Intelligent Systems and Networks Group. 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 also held a visiting research collaborator position at Princeton University from October 2009 until November 2011.
Dr. Gündüz is the Area Editor for IEEE Transactions on Communications (2020 - ) for the Machine learning and communications area, an Editor of the IEEE Transactions on Wireless Communications (2019 - ), and the IEEE Transactions on Green Communications and Networking (2016 - ). Previously he served as an Editor for the IEEE Transactions on Communications (2013 - 2018), IEEE Journal on Selected Areas in Communications (JSAC), Series on Green Communications and Networking (2015 - 2016), and as a Guest Editor for the IEEE JSAC Special Issue on Machine Learning in Wireless Communication Networks (2019), and for the EURASIP Journal on Wireless Communications and Networking, Special Issue on Recent Advances in Optimization Techniques in Wireless Communication Networks (2012). He is a Distinguished Lecturer of the IEEE Information Theory Society (2020 - 2021). From 2013 to 2016, he served as a co-chair of the IEEE Information Theory Society Student Committee. He contributed to the organisation of numerous events. Most recently, he served as a General Co-chair of the 2019 London Symposium on Information Theory, 2018 and 2019 Workshop on Promises and Challenges of Machine Learning in Communication Networks at the IEEE Int'l Conference on Communications (ICC), the 22nd International ITG Workshop on Smart Antennas, and 2016 IEEE Information Theory Workshop, and as a Technical Program Co-chair of the 2020 IEEE ICC Communication Theory Symposium, and 2018 IEEE International Conference on Green Computing and Communications (GreenCom).
Dr. Gündüz is the recipient of the 2017 Early Achievement Award of the IEEE Communication Society - Communication Theory Technical Committee (CTTC), a Starting Grant of the European Research Council (ERC) in 2015, the 2014 IEEE Communication Society Best Young Researcher Award for the Europe, Middle East and Africa Region, and the 2008 Alexander Hessel Award awarded by the Electrical and Computer Engineering Department of New York University Polytechnic School of Engineering for the best Ph.D. dissertation. He is also a recipient of the Best Paper Awards at the 2016 IEEE Wireless Communications and Networking Conference (WCNC), and 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), and the Best Student Paper Award at the 2018 IEEE WCNC and 2007 International Symposium on Information Theory (ISIT).
Additionally, his students Mohammad Mohammadi Amiri received the 2020 Eryl Cadwallader Davies prize for Outstanding PhD Thesis, and Giulio Giaconi received the 2018 IEEE Information Theory Society UK and Ireland Chapter Best PhD Thesis Award.
His research interests lie in the areas of communication theory, information theory, machine learning and privacy.
You can follow his publications and citations on the Google Scholar page.
A more frequently updated website can be found here.
et al., Communicate to Learn at the Edge, Ieee Communications Magazine, ISSN:0163-6804
Hameed MZ, Gyorgy A, Gunduz D, 2020, The best defense is a good offense: adversarial attacks to avoid modulation detection, Ieee Transactions on Information Forensics and Security, ISSN:1556-6013
Giaconi G, Gunduz D, Poor HV, Privacy-cost trade-offs in smart electricity metering systems, Iet Smart Grid, ISSN:2515-2947
Mital N, Gunduz D, Ling C, 2020, Coded caching in a multi-server system with random topology, Ieee Transactions on Communications, Vol:68, ISSN:0090-6778, Pages:4620-4631
Erdemir E, Dragotti PL, Gunduz D, 2020, Privacy-aware time-series data sharing with deep reinforcement learning, Ieee Transactions on Information Forensics and Securit, Vol:16, ISSN:1556-6013, Pages:389-401