
Dottorato in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Energy-Efficient Neuromorphic Hardware. Design and Optimization of Brain-Inspired Computing Paradigms for Spiking Neural Networks
Tutori:
Stefano Di Carlo Alessandro SavinoDidattica
Insegnamenti
Corso di laurea magistrale
- Computer architectures and operating systems. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
- Operating systems for embedded systems. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Operating systems for embedded systems. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Operating systems for embedded systems. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Operating systems. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
Ricerca
Gruppi di ricerca
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2025)
Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 13, pp. 784-798. ISSN 2168-6750
Contributo su Rivista - Magliano, Enrico; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano (2024)
A Micro Architectural Events Aware Real-Time Embedded System Fault Injector. In: 2024 IEEE 25th Latin American Test Symposium (LATS), Maceio (BRA), 09-12 April 2024, pp. 1-6. ISBN: 979-8-3503-6555-9
Contributo in Atti di Convegno (Proceeding) - Carpegna, Alessio; De Luca, Chiara; Pozzi, Federico Emanuele; Savino, Alessandro; Di ... (2024)
Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection. In: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), Xi'an (CHN), 24-26 October 2024, pp. 1-5. ISBN: 979-8-3503-5495-9
Contributo in Atti di Convegno (Proceeding) - Gögebakan, Anil Bayram; Magliano, Enrico; Carpegna, Alessio; Ruospo, Annachiara; Savino, ... (2024)
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks. In: 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), Rennes (FRA), 03-05 July 2024, pp. 1-7. ISSN 1942-9401. ISBN: 979-8-3503-7055-3
Contributo in Atti di Convegno (Proceeding) - Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2024)
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks. In: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS), Aix-EN-PROVENCE, France, 14-16 October 2024, pp. 1-6. ISBN: 979-8-3503-6312-8
Contributo in Atti di Convegno (Proceeding) - Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; ... (2024)
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. In: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, TN (USA), 01-03 July 2024, pp. 240-245. ISBN: 979-8-3503-5411-9
Contributo in Atti di Convegno (Proceeding) - Traiola, Marcello; Pappalardo, Salvatore; Piri, Ali; Ruospo, Annachiara; Deveautour, ... (2024)
Approximate Fault-Tolerant Neural Network Systems. In: IEEE European Test Symposium (ETS) 2024, Der Haag (NL), 20-24 May 2024, pp. 1-10. ISBN: 979-8-3503-4932-0
Contributo in Atti di Convegno (Proceeding) - Padovano, Dario; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2024)
SpikeExplorer: Hardware-Oriented Design Space Exploration for Spiking Neural Networks on FPGA. In: ELECTRONICS, vol. 13, pp. 1-21. ISSN 2079-9292
Contributo su Rivista - Pavanello, Fabio; Ioana Vatajelu, Elena; Bosio, Alberto; Van Vaerenbergh, Thomas; ... (2023)
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies. In: 41st IEEE VLSI Test Symposium, San Diego CA (USA), 24-26 April 2023, pp. 1-10. ISBN: 979-8-3503-4630-5
Contributo in Atti di Convegno (Proceeding) - Pavanello, F; Marchand, C; O'Connor, I; Orobtchouk, R; Mandorlo, F; Letartre, X; Cueff, ... (2023)
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS. In: 2023 IEEE European Test Symposium (ETS), Venezia (ITA), 22-26 May 2023, pp. 1-6. ISBN: 979-8-3503-3634-4
Contributo in Atti di Convegno (Proceeding) - Kasap, Deniz; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano (2023)
Micro-Architectural features as soft-error markers in embedded safety-critical systems: preliminary study. In: 2023 IEEE European Test Symposium (ETS), Venezia (ITA), 22-26 May 2023, pp. 1-5. ISBN: 979-8-3503-3634-4
Contributo in Atti di Convegno (Proceeding) - Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic. In: 23rd IEEE Latin-American Test Symposium (LATS 2022), Virtual Event, 05-08 September 2022, pp. 1-6
Contributo in Atti di Convegno (Proceeding) - Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
Spiking Neural Network Data Reduction via Interval Arithmetic. In: The 18th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE 2022), Virtual Event, May 19 – May 20, 2022, pp. 1-6. ISBN: 978-1-6654-5707-1
Contributo in Atti di Convegno (Proceeding) - Carpegna, Alessio; Di Carlo, Stefano; Savino, Alessandro (2022)
Artificial Resilience in neuromorphic systems. In: International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART) 2022, Tsukuba (JPN), June 9-10, 2022, pp. 112-114. ISBN: 978-1-4503-9660-8
Contributo in Atti di Convegno (Proceeding) - Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
Spiker: an FPGA-optimized Hardware accelerator for Spiking Neural Networks. In: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pafos, Cyprus, 04-06 July 2022, pp. 14-19
Contributo in Atti di Convegno (Proceeding)