Research

ResearchThe Institute of Electrical Engineering and Information Technology is integrated into the system of research focus areas, collaborative research centres, and clusters of excellence at Kiel University, as well as external competence centres. Existing co-operations at the international level are continually being deepened and consistently expanded based on their research focus topics. In accordance with the founding mission of the Faculty of Engineering, moreover, work on research topics takes place in the context of industrial co-operations focused on scientific work.

 

Faculty focus areas

A faculty focus area, as defined by the university, is a "preferably interdisciplinary field of research that stands out within a faculty due to particular scientific achievement (publications, technology transfer, external grants, or the like) and whose research is nationally visible to a remarkable extent." The Institute of EE&IT acts within the faculty focus areas of Information Engineering and Nanosystems Technology.

 

Collaborative research centres

One important priority in selecting research directions is interdisciplinarity, which can particularly be seen in the involvement of the Institute of EE&IT in the collaborative research centre „Magnetoelectric Sensors: From Composite Materials to Biomagnetic Diagnostics“ (SFB 1261) founded in 2016 and continued in 2020.

In 2021 a new Collaborative Research Centre (CRC 1461) on "Neuroelectronics: Biologically Inspired Information Processing" has been establihed. The Center is headed by a member of the institute. The aim of the CRC 1461 is to transfer knowledge on information pathways in nervous systems to technical information processing, for example to improve pattern and speech recognition or the energy efficiency of existing systems.

 

SFB 1261
CRC 1461
Cluster of excellence

The Institute of EE&IT also participates in the cluster of excellence "The Future Ocean".

 

Competence centres

The Institute of EE&IT is involved in two competence centres:

CSC
Automation and Control

  • color_key Prof. Dr. Thomas Meurer
Communications

  • color_key Prof. Dr. Stephan Pachnicke
Computational Electromagnetics

  • color_key Prof. Dr. Ludger Klinkenbusch
Digital Signal Processing and System Theory

  • color_key Prof. Dr. Gerhard Schmidt
Information and Coding Theory

  • color_key Prof. Dr. Peter A. Höher
Integrated Systems and Photonics

  • color_key Prof. Dr. Martina Gerken
Microwave Engineering

  • color_key Prof. Dr. Michael Höft
Networked Electronic Systems

  • color_key Prof. Dr. Robert Rieger
Power Electronics

  • color_key Prof. Dr. Marco Liserre
Sensor System Electronics

  • color_key Prof. Dr. Andreas Bahr