Onur Günlü

I received the B.Sc. degree (Highest Distinction) in Electrical and Electronics Engineering from Bilkent University, Turkey in 2011; M.Sc. (Highest Distinction) and Dr.-Ing. (Ph.D. equivalent) degrees in Communications Engineering both from the Technical University of Munich (TUM), Germany in October 2013 and November 2018, respectively. I was a Working Student in the Communication Systems division of Intel Mobile Communications (IMC), now Apple Inc., in Munich, Germany during November 2012 - March 2013. I worked as a Research and Teaching Assistant at TUM Chair of Communications Engineering (LNT) between February 2014 - May 2019. Iwas a Research Associate and Dozent between June 2019 - September 2020 and was a Research Group Leader and Dozent between October 2020 - March 2021 at TU Berlin, and I held the same academic titles at Chair of Communications Engineering and Security at the University of Siegen, Germany from April 2021 until September 2022. I was working as an ELLIIT Assistant Professor at Linköping University (LiU), Sweden in the Information Coding Division between October 2022 - July 2024, and I am now an ELLIIT Tenured Associate Professor there. I obtained the Swedish Docent (Dr.-habil.) of Information Theory title in December 2023 and the IEEE Senior Member title in July 2024.

As a Visiting Researcher, among more than twenty research stays at top universities and companies, I was at TU Eindhoven, Netherlands during February 2018 - March 2018 to visit Prof. Frans M. J. Willems. I was a Visiting Research Group Leader at Georgia Institute of Technology, Atlanta, USA during February 2022 - March 2022 to visit Prof. Matthieu Bloch. I have been a Visiting Professor at TU Dresden, Germany during January 2023 - March 2023 to visit Prof. Rafael F. Schaefer. I have received the 2023 ZENITH Research and Career Development Award, received 2022 ZEIT-Verlag & Academics Young Scientist Award (Nachwuchspreis) Runner-up Prize, received the VDE Information Technology Society (ITG) 2021 Johann-Philipp-Reis Award, been selected by the IEEE Communications Society as 2021 Exemplary Reviewer of the IEEE TRANSACTIONS ON COMMUNICATIONS (TCOM), been a Brain City Berlin Ambassador since June 2020, received the 1st Prize in “Hands-On Project Digital Society Competition” in 2014, and was a 2014 Qualcomm Innovation Fellowship Finalist.

Among my publications is the book Key Agreement with Physical Unclonable Functions and Biometric Identifiers (Dr. Hut Verlag, 2019). I am currently an Associate Editor of IEEE TRANSACTIONS ON COMMUNICATIONS, EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING and ENTROPY Journal, a Reviewer Board Member of COMPUTERS and INFORMATION Journals, and recently was a Guest Editor of IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY. I also serve as a Board Member and Secretary at the IEEE Sweden VT/COM/IT Joint Chapter.

I have been generously funded, awarded, and supported among others by the Swedish government, Chalmers Transport Area of Advance (AoAT) Fund, ZENITH Research and Career Development Fund, Alexander von Humboldt Foundation, German Research Foundation (DFG), Brazilian Sao Paulo Research Foundation (FAPESP), German Association for Electrical, Electronic & Information Technologies (VDE), Deutsche Telekom, Qualcomm CDMA Technologies Nuremberg, European Union (EU) and EUREKA Program, Huawei Moscow, German Federal Ministry of Education and Research (BMBF), German Academic Exchange Service (DAAD), German Centre for International Migration and Development (CIM), ZEIT-Verlag & Academics GmBH, TU Munich (TUM), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), Turkish Education Foundation (TEV), Turkish Prime Ministry, Aegean Modern Education Foundation (ECEV), Bilkent University, and IsBank.

Selected Current Research Interests:

• Distributed Function Computation
• Information Theoretic Privacy and Security
• Coding Theory
  (e.g., Reliable/Robust/Compressed/Secure/Covert/Resilient Communications)
• Physical Layer Security (PLS)
• Biometric Secrecy Systems and Physical Unclonable Functions (PUFs)
• Federated Learning (FL) with Information Theoretic and Differential Privacy Guarantees
• Differential Privacy (DP) for Correlated Data (e.g., Eye-Tracking VR/AR Data)
• Secure and Private (Multi-Party) Multi-Function Computations
• (Secure) Doubly Exponential Identification via Channels (e.g., for Sensor/Watermark Identification in Post-Shannon Communication)
• Information Bottleneck Method
• Secure Joint/Integrated Communication and Sensing (JCAS/ICAS/ISAC)
• Statistical Signal Processing
• Secure Multiple-input Multiple-output (MIMO) Wireless Terahertz (THz) Communications
• (Conditional) Mutual Information Estimation via Neural Networks
• Randomized Algorithms