Onur 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.
He 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. Onur worked as a Research and Teaching Assistant at TUM between February 2014 - May 2019.
He was a Visiting Researcher, among more than ten research stays at top universities and companies, at TU Eindhoven, Netherlands during February 2018 - March 2018 to visit Prof. Frans M. J. Willems, and later at Georgia Institute of Technology, Atlanta, USA during February 2022 - March 2022 to visit Prof. Matthieu Bloch. He was 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 he held the same academic titles at the Chair of Communications Engineering and Security at University of Siegen, Germany from April 2021 until September 2022.
Onur has been working as an ELLIIT Assistant Professor at Linköping University, Sweden in the Information Coding division since October 2022. He has been a BrainCity Berlin Ambassador since June 2020, received the prestigious VDE Information Technology Society (ITG) 2021 Johann-Philipp-Reis Award, and been selected by the IEEE Communications Society as 2021 Exemplary Reviewer of the IEEE Transactions on Communications (TCOM).
Among his publications is the recent book Key Agreement with Physical Unclonable Functions and Biometric Identifiers (Dr. Hut Verlag, 2019). He is currently an Associate Editor of EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING and ENTROPY Journal and a Reviewer Board Member of COMPUTERS and INFORMATION Journals, and recently was a Guest Editor of IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY.
Onur has been generously funded, awarded, and supported among others by the Swedish government, 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.
- ELLIIT Faculty Position Award by the Excellence Center at Linköping-Lund in Information Technology (ELLIIT), a strategic research environment in information technology and mobile communications, which is funded by the Swedish government, to join the Information Coding Division of the Linköping University, Sweden (10/22).
- IEEE Communications Society (ComSoc) Transactions on Communications (TCOM) 2021 Exemplary Reviewer whose numerous excellent reviews help maintain the highest standards of IEEE TCOM (03/22).
- ZEIT-Verlag & Academics Young Scientist Award (Nachwuchspreis) Consolation Prize recipient, as one of the selected top nominees, who has made a lasting contribution to his scientific field with outstanding and forward-looking research achievements and who also distinguishes himself through exemplary action and voluntary commitment to science (01/22).
- VDE Information Technology Society (ITG) Prestigious 2021 Johann-Philipp-Reis Award recipient for outstanding work on Provable Security and Privacy for Future Communication Networks, including the work on physical unclonable functions (PUFs), as a top communication engineer under 40 whose extraordinary innovations are expected to have a significant impact on the economy and society (10/21).
- Invited Young Researcher to the Heidelberg Laureate Forum to meet the recipients of the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, and Nevanlinna Prize (09/20).
- Brain City Berlin Ambassador, a scientist who inspires people to discover Berlin as a leading research hub that is diverse, interdisciplinary, cosmopolitan, and innovative (06/20 - Present).
- 1st Prize in “Hands-On Project Digital Society Competition” with the topic “Profit Optimization Through Enterprise Collaboration Using Digital Media”, funded by the Alexander von Humboldt Foundation & Goethe Institute & German Centre for International Migration and Development (CIM) & Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) to attend the BITKOM Trendkongress, Berlin, Germany (07/14).
- TU Munich Academic Award as a Top Grade holder in the Master of Science in Communication Engineering (MSCE) Graduate Program out of 70 graduates (10/13).
- German Academic Exchange Service (DAAD) & Turkish Education Foundation (TEV) Shared Graduate Scholarship holder for Master’s degree studies at TU Munich
(10/11 - 10/13).
Main Research Interests
- 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