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

Asaf Cohen, Onur Günlü, Secure Best Arm Identification in the Presence of a Copycat (2025)  https://arxiv.org/abs/2507.18975

Daniel Seifert, Onur Günlü, Rafael F. Schaefer, Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications (2025)  https://arxiv.org/abs/2510.11418

Didrik Bergström, Deniz Gündüz, Onur Günlü, Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Retrieval (2025)  https://arxiv.org/abs/2510.06868

Maciej Skorski, Francisco-Javier Soto, Onur Günlü, Exact Bias of Linear TRNG Correctors – Spectral Approach (2025)  https://arxiv.org/abs/2509.26393

Martin Mittelbach, Rafael F. Schaefer, Matthieu Bloch, Aylin Yener, Onur Günlü,  Sensing-Assisted Secure Communications over Correlated Rayleigh Fading Channels, Entropy 27:225 (2025)  https://doi.org/10.3390/e27030225

Read more about Onur Günlü on his external homepage

Organisation

Co-workers at the division Information Coding

News