Fachgebiet Entwurf Mikroelektronischer Systeme (EMS)

Jonas Ney, M.Sc.


Anschrift

Erwin-Schrödinger-Straße
Gebäude 12, Raum 245
67663 Kaiserslautern

Kontakt

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

Forschungsgebiete

  • Artificial Neural Networks
  • FPGA-based Hardware Acceleration

Lehrveranstaltungen

Publikationen

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. Accepted for publication, 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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