Riccardo Pignari

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38^th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)

riccardo.pignari@polito.it

Profile

PhD

Research topic

New computational paradigms for neuromorphic hardware

Tutors

Research presentation

Poster

Research interests

Computer architectures and Computer aided design

Data science, Computer vision and AI

Parallel and distributed systems, Quantum computing

Biography

In 2022, I was awarded a Master of Science degree in Physics of Complex Systems by the Politecnico di Torino. I am currently a member of the Electronic Design Automation Group. My research is centred on the field of neuromorphic engineering, which is an interdisciplinary domain of enquiry concerned with the design and construction of systems that emulate the architectural and functional characteristics of biological neural networks. The field of neuroscience has provided inspiration for the development of processors, sensors and frameworks that emulate the processing mechanisms of the brain.

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

MostraNascondi A.A. passati

Research

Research groups

EDA - Electronic Design Automation (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito (In stampa)
Exploring Spiking Neuron Model behaviours through the Analysis of Parameter Space. In: ECML PKDD 2024 - "Deep Learning meets Neuromorphic Hardware" workshop, Vilnius, 09/09/2024 - 14/09/2024. ISSN 1865-0929
Contributo in Atti di Convegno (Proceeding)
Pignari, Riccardo; Fra, Vittorio; Forno, Evelina; Macii, Enrico; Urgese, Gianvito (In stampa)
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
Contributo in Atti di Convegno (Proceeding)
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
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. ISSN 2691-4581
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)