
About
Marc Adrat is an Honorary Professor at RWTH Aachen University and Head of the Software Defined Radio research group at Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE). His dual role combines academic teaching with cutting-edge industrial research in communications engineering.
Education:
- Diplom-Ingenieur in Electrical Engineering (1997), RWTH Aachen University
- Dr.-Ing. (PhD) in 2003 from Institute of Communication Systems and Data Processing (IND), RWTH Aachen
Research Focus: Prof. Adrat specializes in channel coding, modulation techniques, and iterative decoding with particular emphasis on polar codes, BICM-ID systems, and EXIT chart analysis. His work bridges theoretical foundations with practical implementations in software-defined radio systems.
His recent research directions include applying machine learning techniques (particularly genetic algorithms) to optimize communication systems, developing autoencoder-based signal enhancement methods, and advancing spectrum monitoring technologies for cognitive radio applications.
Awards & Recognition:
- Best Paper Award at ICMCIS 2022 for work on spectrum monitoring techniques
- Appointed Honorary Professor by RWTH Aachen University in June 2024
Teaching & Supervision: Since 2009, he has taught courses on Modern Channel Coding for Wireless Communications and Advanced Coding and Modulation at RWTH Aachen. His teaching covers both theoretical foundations and practical implementations of modern communication systems.
Laboratories & Teams: At Fraunhofer FKIE, he leads the Software Defined Radio research group, focusing on developing flexible, reconfigurable radio systems for military and civilian applications. The group works extensively on real-time implementations of advanced coding and modulation schemes.
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