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
Biography
My primary objective is to develop computational frameworks that facilitate the integration of neuromorphic tools with conventional hardware. In order to achieve this objective, a series of simple neuromorphic models (SNMs) have been developed, designed to perform a range of general-purpose tasks in a manner compatible with neuromorphic hardware. These models have been applied to a variety of applications, including audio processing, optimisation problems, benchmarking, and computer vision.
Throughout my research, I engaged in close collaboration with the teams at SmartData, Politecnico di Torino and Telluride Neuromorphic Cognition Engineering with the objective of developing innovative techniques in the field of neuromorphics. This was achieved by employing insights derived from the study of biological systems to develop real-world applications, while simultaneously leveraging cutting-edge hardware and software technologies.
This experience has significantly enhanced my technical proficiency in computational analysis and reinforced my commitment to the application of neuromorphic technologies.
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
- 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 - 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; 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; 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 (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 - 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 - 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 - 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 (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) - 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 - 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