Division of Microelectronic Systems Design (EMS)

Jonas Ney, M.Sc.


Building 12, Room 245
67663 Kaiserslautern


Phone: (+49) 631 / 205-5452
Fax: (+49) 631 / 205-4437
Email: ney(at)eit.uni-kl.de

Research Areas

  • Artificial Neural Networks
  • FPGA-based Hardware Acceleration


Artificial Neural Networks-based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills
B. Hammoud, C. Bou Maroun, J. Ney, N. Wehn. Accepted for publication, 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.

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