Jonas Ney, M.Sc.


Building 12, Room 245
67663 Kaiserslautern


Phone: (+49) 631 / 205-5452
Fax: (+49) 631 / 205-4437
Email: jonas.ney(at)

Research Areas

  • Artificial Neural Networks
  • FPGA-based Hardware Acceleration


FPGA Onboard Processing of Tiny-ML Models Using Radar-Sensing for Oil Spill Monitoring
B. Hammoud, J. Ney, Ch. Bou Maroun, N. Wehn. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July, 2024, Athens, Greece.

Real-Time FPGA Demonstrator of ANN-Based Equalization for Optical Communications
J. Ney, P. Matalla, V. Lauinger, L. Schmalen, S. Randel, N. Wehn, International Conference on Machine Learning for Communications and Networking (ICMLCN), May, 2024, Stockholm, Sweden

Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networks
V. Lauinger, P. Matalla, J. Ney, N. Wehn, S. Randel, L. Schmalen.  Optical Fiber Communication Conference (OFC), March, 2024, San Diego, California, USA.

From Algorithm to Implementation: Enabling High-Throughput CNN-based Equalization on FPGA for Optical Communications
J. Ney, C. Füllner, V. Lauinger, L. Schmalen, S. Randel, N. Wehn. International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXIII), July, 2023, Samos Island, Greece

Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
J. Ney, V. Lauinger, L. Schmalen, N. Wehn. Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), June, 2023, Gothenburg, Sweden.

Blind and Channel-agnostic Equalization Using Adversarial Networks
V. Lauinger, M. Hoffmann, J. Ney, N. Wehn, L. Schmalen. IEEE GLOBECOM, December, 2022, Rio de Janeiro, Brazil.

Artificial Neural Networks-based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills
B. Hammoud, C. Bou Maroun, J. Ney, N. Wehn. IEEE European Signal Processing Conference (EUSIPCO), September, 2022, Belgrade, Serbia.

Efficient FPGA Implementation of an ANN-Based Demapper using Cross-Layer Analysis
J. Ney, B. Hammoud, S. Dörner, M. Herrmann, J. Clausius, S. ten Brink, N. Wehn. Electronics Special Issue "Applications of FPGAs and Reconfigurable Computing: Current Trends and Future Perspectives", April, 2022.

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation
J. Ney, B. Hammoud, N. Wehn. 29th Reconfigurable Architectures Workshop (RAW 2022), May, 2022, Lyon, France.

FPGA-based Trainable Autoencoder for Communication Systems
J. Ney, S. Dörner, M. Herrmann, M. H. Sadi, J. Clausius, S. ten Brink, N. Wehn. ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, February, 2022, Virtual Conference.

Embedded Face Recognition for Personalized Services in the Assistive Robotics
I. Walter, J. Ney, T. Hotfilter, V. Rybalkin, J. Höfer, N. Wehn, J. Becker. ITEM workshop ECML-PKDD, September, 2021, virtual conference.

When massive GPU parallelism ain't enough: A Novel Hardware Architecture of 2D-LSTM Neural Network
V. Rybalkin, J. Ney, M. Tekleyohannes, M. M. Ghaffar, N. Wehn. ACM Journal Transactions on Reconfigurable Technology and Systems (TRETS), 2021.

HALF: Holistic Auto Machine Learning for FPGAs
J. Ney, D. Loroch, V. Rybalkin, N. Weber, J. Krueger, N. Wehn. 31th International Conference on Field-Programmable Logic and Applications (FPL), August, 2021, Dresden, Germany.