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
    • 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

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

Angebotene Arbeiten

BAMAIDPFPIPSEMSHK
Titel

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Lightweight Attack-Firewall Classifier for Computer Vision Models

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Runtime Reconfigurable Winograd-based FPGA Accelerator for CNN Inference

Laufende Arbeiten

Masterarbeiten

Learning to Prune and Quantize Transformers

Forschungspraxis (Research Internship)

Graph Neural Network-based Pruning

Benchmarking CNNs on Hardware Accelerators for Embedded Applications (NVIDIA)

Seminare

Optimized CUDA Kernels for Efficient Processing of Binary and Sparse Neural Networks

Studentische Hilfskräfte

Improving Resilience of Deep Neural Networks Against Hardware Faults

Publikationen

  • Nael Fasfous, Manoj-Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Mohamed Badawy, Walter Stechele: BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices. IEEE International Parallel & Distributed Processing Symposium, Reconfigurable Architectures Workshop (IPDPS-RAW), 2021 mehr… BibTeX
  • Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Nagaraja, Christian Wressnegger, Walter Stechele: Adversarial Robust Model Compression using In-Train Pruning. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 mehr… BibTeX
  • Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf: Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) , 2021 mehr… BibTeX
  • Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Franziska Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele: BreakingBED - Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. Intelligent Systems Conference (IntelliSys), 2021 mehr… BibTeX
  • Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Mohamed Badawy, Felix Hundhausen, Julian Höfer, Naveen-Shankar Nagaraja, Christian Unger, Hans-Jörg Vögel, Jürgen Becker, Tamim Asfour, Walter Stechele: Binary-LoRAX: Low-power and Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands. International Conference on Robotics and Automation (ICRA), 2021 mehr… BibTeX
  • Akshay Srivatsa, Sebastian Nagel, Nael Fasfous, Doan Nguyen Anh Vu, Thomas Wild, Andreas Herkersdorf: HyVE: A Hybrid Voting-based Eviction Policy for Caches. IEEE Nordic Circuits and Systems Conference (NorCAS 2020), 2020 mehr… BibTeX
  • Mark Sagi, Nguyen Anh Vu Doan, Nael Fasfous, Thomas Wild, Andreas Herkersdorf: Fine-Grained Power Modeling of Multicore Processors using FFNNs. International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XX), 2020 mehr… BibTeX
  • Nguyen Anh Vu Doan, Akshay Srivatsa, Nael Fasfous, Sebastian Nagel, Thomas Wild, Andreas Herkersdorf: On-Chip Democracy: A Study on the Use of Voting Systems for Computer Cache Memory Management. International Conference on Industrial Engineering and Engineering Management (IEEM), 2020 mehr… BibTeX
  • 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
  • Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele: L2PF - Learning to Prune Faster. International Conference on Computer Vision & Image Processing (CVIP), 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 )