Ph.D. in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Ph.D. obtained in 2026
Dissertation:
From Neuron Models to Edge Intelligence: A Multi-Level Exploration of Neuromorphic Computing (Abstract)
Tutors:
Enrico Macii Gianvito Urgese
Research presentation:
PosterProfile
Research topic
New computational paradigms for neuromorphic hardware
Research interests
Teaching
Teachings
Bachelor of Science
- Informatica. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Research
Research groups
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Urgese, Gianvito; Fra, Vittorio; Pignata, Andrea; Fanuli, Giuseppe; Gomez, Walter ... (2026)
The inNuCE Research Infrastructure and the Neuromorphic MLOps for AIoT prototyping. In: IEEE INTERNET OF THINGS JOURNAL, vol. 13, pp. 19286-19299. ISSN 2327-4662
Contributo su Rivista - Pignari, Riccardo (2026)
From Neuron Models to Edge Intelligence: A Multi-Level Exploration of Neuromorphic Computing. relatore: MACII, Enrico; URGESE, GIANVITO; , 38. XXXVIII Ciclo, P.: 186
Doctoral Thesis - Pignari, Riccardo; Leto, Bendetto; Quer, Stefano; Macii, Enrico; Urgese, Gianvito; Fra, ... (2026)
The Smart Inertial Device Data from Human Activities dataset. In: SCIENTIFIC DATA. ISSN 2052-4463
Contributo su Rivista - Pignari, Riccardo; Fra, Vittorio; Forno, Evelina; Macii, Enrico; Urgese, Gianvito (2026)
Constraint Satisfaction Problems solution through Spiking Neural Networks with improved reliability: the case of Sudoku puzzles. In: Brain-inspired computing workshop, Modena, 8-9.06.2023, pp. 51-54. ISBN: 9782832512340
Contributo in Atti di Convegno (Proceeding) - Fra, Vittorio; Pignata, Andrea; Pignari, Riccardo; Macii, Enrico; Urgese, Gianvito (2025)
Neu-BrAuER: a neuromorphic Braille letters audio-reader for commercial edge devices. In: ECML PKDD 2023 - "Deep learning meets neuromorphic hardware" workshop, Torino, 18-22.09.2023, pp. 51-60. ISSN 1865-0937. ISBN: 978-3-031-74643-7
Contributo in Atti di Convegno (Proceeding) - Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2025)
Efficient solution validation of constraint satisfaction problems on neuromorphic hardware: the case of Sudoku puzzles. In: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, vol. 6, pp. 2061-2072. ISSN 2691-4581
Contributo su Rivista - Xiao, Zhili; Akl, Mahmoud; Leugring, Johannes; Olajide, Omowuyi; Malik, Adil; Dennler, ... (2025)
ON-OFF neuromorphic ISING machines using Fowler-Nordheim annealers. In: NATURE COMMUNICATIONS, vol. 16, pp. 1-13. ISSN 2041-1723
Contributo su Rivista - Forno, Evelina; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2025)
Path Integral Quantum Annealing Optimizations Validated on 0-1 Multidimensional Knapsack Problem. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 13, pp. 1272-1284. ISSN 2168-6750
Contributo su Rivista - Pignari, Riccardo; Fra, Vittorio; Urgese, Gianvito; Knight, James C.; D'Angelo, Giulia (2025)
Spiking motion direction through object motion sensitivity. In: Neuromorphic Computing for Development and Learning (NCDL) Workshop, Prague (CZ), 16/09/2025, pp. 1-1
Contributo in Atti di Convegno (Proceeding) - Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (2023)
Constraint Satisfaction Problems solution through Spiking Neural Networks with improved reliability: the case of Sudoku puzzles. In: 9th SmartData@PoliTO Workshop – SmartData@PoliTO meets AI-H@PoliTO, Loano (IT), 24/09/2023-26/09/2023
Contributo in Atti di Convegno (Proceeding) - Gallego Gomez, Walter; Pignata, Andrea; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; ... (2023)
First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem. In: 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023), Singapore, December 18-21, 2023, pp. 462-469. ISBN: 979-8-3503-9361-3
Contributo in Atti di Convegno (Proceeding) - Fra, Vittorio; Forno, Evelina; Pignari, Riccardo; Stewart, Terrence; Macii, Enrico; ... (2022)
Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications. In: NEUROMORPHIC COMPUTING AND ENGINEERING, vol. 2, pp. 1-14. ISSN 2634-4386
Contributo su Rivista - Forno, Evelina; Fra, Vittorio; Pignari, Riccardo; Macii, Enrico; Urgese, Gianvito (2022)
Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task. In: FRONTIERS IN NEUROSCIENCE, vol. 16, pp. 1-20. ISSN 1662-453X
Contributo su Rivista