Prof. Dr.–Ing. Onur Günlü
Based on mathematically precise models and with a clear focus on practical applications, the Chair of Communications Engineering develops methods for modern communication and computing systems. These are based on efficient, robust and trustworthy methods from information and coding theory for wireless, distributed and data-driven systems.
The focus is on the joint design of communication, inference and security mechanisms – from physical layer and signal processing methods to cooperative networks, trustworthy distributed machine learning (e.g. privacy-preserving federated learning) and distributed functional computation.
Key areas include semantic and goal-oriented communication, integrated sensing and communication (ISAC), and randomised distributed functional computation (RDFC) for bandwidth- and latency-critical applications. This is complemented by the analysis of coding- and learning-based methods for future generations of communication and computing systems.
We implement key requirements for reliability, low latency, energy efficiency and scalability in industry, mobility and intelligent infrastructures. The work is carried out in collaboration with national and international scientific partners, students and industry to provide theoretically sound and practically robust solutions for interdisciplinary application scenarios.