Short Portrait of the Institute

In the broad field of communication technology, research and teaching at the Institute focus on forward-looking topics such as 6G communication systems and the use of machine learning for communication applications.

The research activities include, among others, semantic and goal-oriented communication, physical-layer security and information-theoretic privacy, integrated sensing and communication (ISAC), neural error correction codes, as well as efficient learning methods for edge and distributed systems.

On this basis, novel concepts for future networks are being developed that enable secure, resource-efficient, and high-performance communication – with applications, for example, in the area of immersive telepresence.

The Institute’s research priorities are also reflected in teaching. In addition to the compulsory lecture Communication Engineering for the 5th semester of the Bachelor’s programs, Master's level courses are offered in Digital Communication Systems, Digital Source Coding, and Local Networks. Alongside the presentation of theoretical foundations, conveying methodological competence is a key concern of the Institute’s staff. System design and analysis based on simulations (in particular with MATLAB, C++/C#, Python, and VHDL) are not only covered in Bachelor’s and Master’s theses, but are also the subject of various lab courses and project groups. Since the ultimate aim of engineering is the application of methods in real systems, demonstrators and experimental setups are also developed with the active involvement of our students.

For further information, please visit the website of Prof. Dr.-Ing. Onur Günlü