Mazdak Fatahi Research Engineer

Identifiants chercheurs

IdHAL :

mazdak-fatahi

ORCID :

0000-0001-5881-3555

Présentation

AboutAbout

Member of the neuromorphic team at the University of Lille as an experienced engineer. Experienced in Spiking Neural Network modeling, simulation, and implementing the models on neuromorphic hardware: SpiNNaker and FPGA. Also skilled in Microcontrollers, Embedded systems, IoT, remote monitoring and remote controlling applications.

Publications

Article dans une revue (3)

ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial Intelligence Aurélie Saulquin,Mazdak Fatahi,Pierre Boulet,Samy Meftali ACM Transactions on Architecture and Code Optimization, 2025, ⟨10.1145/3730581⟩ Article dans une revue hal-05033844v1
Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware Mazdak Fatahi,Pierre Boulet,Giulia D’angelo Neuromorphic Computing and Engineering, 2024, 4 (3), pp.034012. ⟨10.1088/2634-4386/ad76d5⟩ Article dans une revue hal-04699880v1
Rate-coded DBN: An online strategy for spike-based deep belief networks Mazdak Fatahi,Mahyar Shahsavari,Mahmood Ahmadi,Arash Ahmadi,Pierre Bouletet al. Biologically Inspired Cognitive Architectures, 2018, 24, pp.59 - 69. ⟨10.1016/j.bica.2018.04.009⟩ Article dans une revue hal-01808815v1

Communication dans un congrès (2)

evt_MNIST: A spike based version of traditional MNIST an event-based MNIST Mazdak Fatahi,Mahyar Shahsavari,Mahmood Ahmadi,Arash Ahmadi,Philippe Devienne 1st International Conference on New Research Achievements in Electrical and Computer Engineering, May 2016, Teheran, Iran Communication dans un congrès hal-01382631v1
Towards an Spiking Deep Belief Network for Face Recognition Application Mazdak Fatahi,Mahmood Ahmadi,Arash Ahmadi,Mahyar Shahsavari,Philippe Devienne 6th International Conference on Computer and Knowledge Engineering (ICCKE 2016), Oct 2016, Mashhad Iran Communication dans un congrès hal-01382624v1