About me
- I am a postdoctoral researcher at the chair of information theory and machine learning at Technische Universität Dresden
- I received the B.Sc. degree in electrical engineering from the Hochschule Furtwangen University in 2010, the M.Sc. degree in electrical engineering from the Technische Universität Berlin in 2012 and the Dr.-Ing. (PhD) degree in electrical engineering from the Technische Universität Berlin in 2018
Research
- I am generally interested in the topics:
- Information theory, Security, Fairness, Machine learning, Deep learning, and Statistics
- In particular I am interested in:
- Diffusion models for wireless communication and secure wireless communication
- Graph neural networks for multi-user networks to enable diversity gains
- Interplay between classical codes and DL generated coding schemes
- Fairness in machine learning and its interplay with information theory and information theoretic security
- Estimation methods for mutual information
- Novel security metrics for neural network based communication techniques
Recent News
- January, 2023. My recent paper on “Learning End-to-End Channel Coding with Diffusion Models” co-authored with Muah Kim and Rafael Schaefer got accepted
- January, 2023. I have started working at TU Dresden
- December, 2022. My recent paper on “Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE” co-authored with Onur Günlü and Rafael Schaefer got accepted
- Februar, 2022. I have started working at Uni Siegen
- Oktober, 2019. I have started working at FU Berlin
Contact
Email: rick.fritschek at tu-dresden.de, rickfritschek at gmail.com
Technische Universität DresdenLehrstuhl Theoretische Nachrichtentechnik
01062 Dresden