Research staff
Anouar Nechi, M. Sc.
- anouar.nechi@uni-luebeck.de
- Phone
- +49 451 3101 6320
- Office
- Building 64, Room 128 (2nd Floor)
- Address
- Universität zu Lübeck
Institut für technische Informatik
Ratzeburger Allee 160
23562 Lübeck
Germany
Anouar Nechi was born in Nabeul, Tunisia, and moved to Germany in 2017. He holds a Master’s degree in Information Systems Techniques from the National Engineering School of Tunis. Since 2018, he has been a Research Assistant at the University of Lübeck, where he develops and optimizes deep learning models for next-generation communication systems and works on AI trustworthiness, explainability, and dedicated AI accelerators. His research contributions include several peer-reviewed publications on 6G technologies, reconfigurable hardware, and machine learning.
Research
Teaching
WiSe 2026/27
Earlier semesters (6)
- SoSe 2026
- Systemarchitekturen für Multimedia, Wireless Sensor Networks (Drahtlose Sensornetze)
- WiSe 2025/26
- Parallel Computing Systems for Master-AI, Parallelrechnersysteme
- WiSe 2024/25
- Parallel Computing Systems for Master-AI, Parallelrechnersysteme
- SoSe 2021
- Systemarchitekturen für Multimedia
- WiSe 2020/21
- Computergestützter Schaltungsentwurf
- SoSe 2020
- Real-Time Systems
Completed projects
Publications
A. Nechi,
Y. Ghafourian,
B. A. Naim,
T. Gutt,
G. Dimitrakopoulos,
A. Moualhi,
M. Berekovic,
P. Varga,
et al.
Multi-Partner Project: Artificial Intelligence in Manufacturing Leading to Sustainability and the Consideration of Human Aspects (AIMS5.0)
2025 Design, Automation & Test in Europe Conference (DATE), IEEE, 2,025
technological innovation cyber-physical systems hardware manufacturing sustainable development artificial intelligence optimization co-pilot
URL, DOI, RIS, BibTex
Multi-Partner Project: Artificial Intelligence in Manufacturing Leading to Sustainability and the Consideration of Human Aspects (AIMS5.0)
2025 Design, Automation & Test in Europe Conference (DATE), IEEE, 2,025
technological innovation cyber-physical systems hardware manufacturing sustainable development artificial intelligence optimization co-pilot
URL, DOI, RIS, BibTex
A. Nechi,
Z. Narjis,
R. Buchty,
M. Berekovic, and
S. Mulhem
Fast Reinforcement Learning for Robust Beam Codebooks in Future Communication Systems
IEEE Transactions on Communications, IEEE, 2025, 2,025
URL, RIS, BibTex
Fast Reinforcement Learning for Robust Beam Codebooks in Future Communication Systems
IEEE Transactions on Communications, IEEE, 2025, 2,025
URL, RIS, BibTex
W. Foudhaili,
A. Nechi,
C. Thermann,
M. A. Johmani,
R. uchty,
M. Berekovic, and
S. Mulhem
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer, 2,024
RIS, BibTex
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
Applied Reconfigurable Computing. Architectures, Tools, and Applications, Springer, 2,024
RIS, BibTex
A. Nechi,
A. Mahmoudi,
C. Herold,
D. Widmer,
T. Kürner,
M. Berekovic, and
S. Mulhem
Practical Trustworthiness Model for DNN in Dedicated 6G Application
2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 312-317, 2,023
wireless communication sensitivity 6g communication terahertz band modulation recognition trustworthiness
URL, DOI, RIS, BibTex
Practical Trustworthiness Model for DNN in Dedicated 6G Application
2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 312-317, 2,023
wireless communication sensitivity 6g communication terahertz band modulation recognition trustworthiness
URL, DOI, RIS, BibTex
A. Nechi,
L. Groth,
S. Mulhem,
F. Merchant,
R. Buchty, and
M. Berekovic
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
ACM Transactions on Reconfigurable Technology and Systems, 16(4), 1-32, 2,023
RIS, BibTex
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
ACM Transactions on Reconfigurable Technology and Systems, 16(4), 1-32, 2,023
RIS, BibTex
A. Dörflinger,
M. Albers,
B. Kleinbeck,
Y. Guan,
H. Michalik,
R. Klink,
C. Blochwitz,
A. Nechi,
et al.
A comparative survey of open-source application-class RISC-V processor implementations
CF '21: Proceedings of the 18th ACM International Conference on Computing Frontiers, ACM, 2021, 2,021
URL, DOI, RIS, BibTex
A comparative survey of open-source application-class RISC-V processor implementations
CF '21: Proceedings of the 18th ACM International Conference on Computing Frontiers, ACM, 2021, 2,021
URL, DOI, RIS, BibTex