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: On the Effect of Light Emitting Diodes Positions on the Performance of an Indoor Visible Light Communication System. 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2019 mehr… BibTeX Volltext ( DOI )
  • Ala’ F. Khalifeh, Nael Fasfous, Ramzi Theodory, Serina Giha, Khalid A. Darabkh: An Experimental Evaluation and Prototyping for Visible Light Communication. Computers & Electrical Engineering Journal, 2018 mehr… BibTeX Volltext ( 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 mehr… BibTeX Volltext ( DOI )