Mazdak Fatahi
Présentation
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.AboutAbout
Also skilled in Microcontrollers, Embedded systems, IoT, remote monitoring and remote controlling applications.
Publications
Publications
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ModNEF : An Open Source Modular Neuromorphic Emulator for FPGA for Low-Power In-Edge Artificial IntelligenceACM Transactions on Architecture and Code Optimization, 2025, ⟨10.1145/3730581⟩ |
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Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardwareNeuromorphic Computing and Engineering, 2024, 4 (3), pp.034012. ⟨10.1088/2634-4386/ad76d5⟩ |
Rate-coded DBN: An online strategy for spike-based deep belief networksBiologically Inspired Cognitive Architectures, 2018, 24, pp.59 - 69. ⟨10.1016/j.bica.2018.04.009⟩ |
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evt_MNIST: A spike based version of traditional MNIST an event-based MNIST1st International Conference on New Research Achievements in Electrical and Computer Engineering, May 2016, Teheran, Iran |
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Towards an Spiking Deep Belief Network for Face Recognition Application6th International Conference on Computer and Knowledge Engineering (ICCKE 2016), Oct 2016, Mashhad Iran |