Nael Fasfous, M.Sc.

Wissenschaftlicher Mitarbeiter

Technische Universität München
Fakultät für Elektrotechnik und Informationstechnik
Lehrstuhl für Integrierte Systeme
Arcisstr. 21
80333 München

Tel.: +49.89.289.23858
Fax: +49.89.289.28323
Gebäude: N1 (Theresienstr. 90)
Raum: N2116
Email: nael.fasfous@tum.de

Curriculum Vitae

  • Master of Science in Communications Engineering at the Technical University of Munich
    • Granted the Award for Academic Achievement by the Department of Electrical Engineering
    • Master Thesis: Compact Directories with Hybrid Architecture-Aware Eviction Policies for Distributed Shared Memory MPSoCs
  • Bachelor of Science in Communications Engineering at the German Jordanian University
    • Granted the Certificate of Excellence
    • Bachelor Thesis: Prototyping Visible Light Communication Systems
  • Industry Experience at Oracle, Continental AG, Rohde & Schwarz and BMW AG

Forschung

  • Optimization of Convolutional Neural Networks using approximate computing methods
  • Inference acceleration of Convolutional Neural Networks on FPGA platforms
  • Automation of model approximation through reinforcement learning algorithms

Publikationen

  • Ala’ F. Khalifeh, Nael Fasfous, Ramzi Theodory, Serina Giha, Khalid A. Darabkh: An Experimental Evaluation and Prototyping for Visible Light Communication. Computers & Electrical Engineering, 2018 more… BibTeX Full text ( DOI )
  • Ala' F. Khalifeh, Nael Fasfous, Ramzi Theodory, Serina Giha: An Experimental Evaluation of Visible Light Communication Utilizing Telecommunications Instructional Modelling System. 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017 more… BibTeX Full text ( DOI )