Scholar
Rafael F. Schaefer
Google Scholar ID: PrTUgYQAAAAJ
Technische Universität Dresden
Information Theory
Communications
Physical Layer Security
Machine Learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
2,798
H-index
25
i10-index
73
Publications
20
Co-authors
93
list available
Publications
18 items
Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach
2026
Cited
0
Litter-Masked Block z-Channel: Designing Cover Distributions Against Public-Design Observers
2026
Cited
0
Block Erasure Channel and Block z-Channel with Bounded Decoders and Finite Blocklength
2026
Cited
0
MAP-Based Task-Oriented Precoding for Multiuser Communication
2026
Cited
0
Condition-Wise Sinkhorn Drifting for One-Shot Learned Channel Simulation
2026
Cited
0
Semantic Communication Through the Lens of Context-Dependent Channel Modeling
2026
Cited
0
Confusions and Erasures of Error-Bounded Block Decoders with Finite Blocklength
2025
Cited
0
SURA: Secure Unsourced Random Access
2025
Cited
0
Load more
Resume
Research Experience
Holds the position of Professor for Information Theory and Machine Learning at TU Dresden, part of the Faculty of Electrical and Computer Engineering.
Background
Leads the Chair of Information Theory and Machine Learning.
Miscellany
The chair is located within the Faculty of Electrical and Computer Engineering at TU Dresden, under the field of Engineering Sciences.
Co-authors
16 total
Holger Boche
Technische Universität München
Onur Günlü
Full Professor and Docent (Habilitation), TU Dortmund
Tobias J. Oechtering
KTH Royal Institute of Technology, Division Information Science and Engineering
Saba Asaad
Postdoctoral Researcher
Ali Bereyhi
University of Toronto
Ralf Müller
Professor for Information Transmission, Friedrich-Alexander Universität Erlangen-Nürnberg
Rick Fritschek
Research Associate, TU Dresden
Eduard Jorswieck
Managing Director of Institute of Communications Technology, TU Braunschweig