Photo of Onur Günlü

Onur Günlü

Senior Associate Visiting Professor, Docent

Onur's current research focuses on distributed function computation, privacy for machine learning, information-theoretic security, coding theory, biometric and hardware-intrinsic security, etc.

About me

I received my B.Sc. (Highest Distinction) in Electrical and Electronics Engineering from Bilkent University (2011), and my M.Sc. (Highest Distinction) and Dr.-Ing. degrees in Communications Engineering from Technical University of Munich (2013, 2018). I worked at Intel Mobile Communications (now Apple Inc.) and as Research/Teaching Assistant at TUM (2014–2019), then as Research Group Leader and Dozent at TU Berlin and University of Siegen (2019–2022). I was an ELLIIT Assistant and later Tenured Associate Professor at Linköping University (2022–2024), earned the Swedish Docent title (2023) and IEEE Senior Member status (2024). I am currently a Full Professor at TU Dortmund and Guest Professor at Linköping University.

I have held over twenty visiting research positions, including at TU Eindhoven (2018), Georgia Institute of Technology (2022), and TU Dresden (2023). My awards include the IEEE Information Theory Society - Joy Thomas Paper Award (2025), ZENITH Research and Career Development Award (2023), ZEIT-Verlag & Academics Young Scientist Award Runner-up (2022), and VDE ITG Johann-Philipp-Reis Award (2021). I am the author of the book "Key Agreement with Physical Unclonable Functions and Biometric Identifiers" and serve as Associate Editor of IEEE Transactions on Communications, IEEE Journal on Selected Areas in Communications, and Entropy, among other editorial roles, and as Secretary of the IEEE Sweden VT/COM/IT Joint Chapter.

Publications

Onur Günlü,  Randomized distributed function computation (RDFC): ultra-efficient semantic communication applications to privacy, EURASIP JOURNAL ON INFORMATION SECURITY 2026:3 (2026)  https://doi.org/10.1186/s13635-026-00223-z  https://arxiv.org/abs/2603.09577

Onur Günlü, Maciej Skorski, H. Vincent Poor,  Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach, Entropy 28:86 (2026)  https://doi.org/10.3390/e28010086

Onur Günlü, Stefano Tomasin, João P. Vilela, Francesco Chiti, Prajnamaya Dass, Angeliki Alexiou, Utz Roedig, ISAC Privacy: Challenges and Solutions for 6G (2026)  https://arxiv.org/abs/2605.28325

Gustaf Åhlgren, Onur Günlü, Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism (2026)  https://arxiv.org/abs/2604.20245

Martin Clason, Joakim Argillander, Didrik Bergström, Daniel Spegel-Lexne, Giulio Foletto, Ashraf El Hassan, Mohamed Bourennane, Onur Günlü, Katia Gallo, Rui Lin, Guilherme B. Xavier, Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link (2026)  https://arxiv.org/abs/2606.06107

Read more about Onur Günlü on his external homepage

Organisation

Co-workers at the division Information Coding

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