28 October 2022

• Mauro Lanza. Development of a high-performance Linux device driver for a custom SNN accelerator for Xilinx FPGA boards. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
  

  

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27 October 2023

• Enrico Magliano. AI-based soft error detection for embedded applications. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Computer Engineering, 2023
  

  

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11 April 2024

• Liqi Zeng. Development of a hardware module for online learning on spiking neural networks with partial reconfiguration on FPGA. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Dario Padovano. SpikExplorer: a tool for Design Space Exploration of Spiking Neural Network Architecture. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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26 July 2024

• Giuseppe Gabriele. Improving the Continual Learning Model VAG. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Computer Engineering, 2024
  

  

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31 October 2024

• Francesco Grandi. Are spiking neural networks resilient to internal faults? A comparison with other neural network models and an analysis of possible solutions to increase resilience. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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• Filippo Marostica. Low-power event driven accelerator for Spiking Neural Networks on FPGA. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Bo Wang. Real-time speech recognition using spiking neural networks. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Renato Belmonte. Spiker-V: bringing Neuromorphic Intelligence at the edge through the optimized integration of a SNN Hardware Accelerator with a Low-Power RISC-V Processor. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
  

  

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• Marco Tasca. Time-Robust and Energy-Efficient Decoder for Real-Time Neural Decoding of Primary Motor Cortex Activity. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna, Paolo Viviani. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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13 December 2024

• Fabio Quazzolo. Creation of a neuromorphic dataset for low-power and privacy-aware gesture recognition. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna, Gianluca Amprimo. Politecnico di Torino, Master of science program in Computer Engineering, 2024
  

  

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11 April 2025

• Balint Bujtor. Development of a low-power embedded solution for the real-time detection of structural cracks through acoustic emission. Rel. Stefano Di Carlo, Amedeo Domenico Bernardo Manuello Bertetto, Giuseppe Carlo Marano, Jonathan Melchiorre, Alessio Carpegna. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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25 July 2025

• Matteo Fragassi. Porting FreeRTOS Symmetric Multiprocessing support to the Zynq-7000 SoC. Rel. Stefano Di Carlo, Alessandro Savino, Enrico Magliano, Alessio Carpegna. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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12 December 2025

• Anil Bayram Gogebakan. AMOS: Adaptive Motion Segmentation using Spiking Neural Networks with Short-Term Synaptic Plasticity. Rel. Stefano Di Carlo, Alessandro Savino, Alessio Carpegna, Alessio Caviglia. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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