Ph.D. candidate
in Intelligenza Artificiale , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Operating systems for embedded systems. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Operating systems. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Operating systems for embedded systems. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- 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) - 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) - 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) - 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) - 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)