Nael Fasfous, M.Sc.

Wissenschaftlicher Mitarbeiter

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

Tel.: +
Fax: +
Gebäude: N1 (Theresienstr. 90)
Raum: N2116

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
    • Granted the VDE-Award for outstanding Master thesis
    • 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


  • 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

Laufende Arbeiten


Efficient Instruction Set Architecture for Convolutional Neural Network Accelerators

Flexible On-Chip Networks for Convolutional Neural Network Accelerators

Studentische Hilfskräfte

Benchmarking CNNs on Hardware Accelerators for Embedded Applications

Optimizing Binarization of Convolutional Neural Networks Using Metaheuristics


  • Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele: OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020 mehr… BibTeX
  • Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen-Shankar Nagaraja, Christian Unger, and Walter Stechele: ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks. The Design Automation Conference (DAC), 2020 mehr… BibTeX
  • 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, Elsevier, 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 )