Projects

I like research projects when they create the conditions to test ideas outside a benchmark and, ideally, to build something that somebody can actually use.

Projects I lead

VISTA — Visual Assistance from Drones for Roadside Rescue

2024–2026 · Principal Investigator · Italian Ministry of Infrastructure and Transport · €200k

VISTA investigates the use of drones, computer vision and AI to improve situational awareness and support post-crash emergency response. The project combines real-world experimentation with local authorities and emergency stakeholders with research on visual assistance from autonomous aerial platforms.

ACCESSO — Cash-Flow Management

2026–2027 · Scientific lead of the University research contract · €111.6k

Research and development of the Cash-Flow Management component within the ACCESSO project, funded under the PIA / PR Puglia FESR-FSE+ 2021–2027 framework.

ISCRA C / CINECA

2023–present · Principal Investigator

A sequence of competitive high-performance computing projects supporting our research:

• SPARTAN — Sparse Autoencoder-based Representation Tuning for Accurate Networks (2026–2027)
• ARTURO — Advancing Multimodal and Efficient Computer Vision for Autonomous Drones (2025–2026)
• MOSES — Multimodal Models for Semantic Image Understanding (2024–2025)
• DIANA — Deep Learning for Artwork Inpainting and Captioning (2023–2024)

PON AIM — Computational Methods for Cultural Heritage

2019–2023

My RTD-A position was funded through the European PON Attraction and International Mobility programme on the topic Computational Methods for Cultural Heritage. This project played an important role in shaping my research on AI and visual arts.

Projects I contribute to

NEED — Next-Gen Digital Diagnostics

2025–2026 · PNC-PNRR D³4Health

Explainable and trustworthy AI for digital diagnostics, with particular attention to medical imaging and clinically meaningful machine-learning support.

bioTIMBRE

2024–2027 · Spanish national research project

Research on robust hand-movement biometrics through computational and robotic methods, coordinated by the Universidad de Las Palmas de Gran Canaria.

EDIH4DT

2024–2026 · European Digital Innovation Hub

Digital transformation activities for public administrations and companies.

SAFETY

2024–2026 · Accordi per l’Innovazione

AI and data-driven methods for personalised healthy-food pathways against obesity.

Earlier projects

Previous activities include FAIR — Future Artificial Intelligence Research (Spoke 6, Symbiotic AI), GRINS, the HAND PRIN project on handwriting analysis against neuromuscular disease, and a multidisciplinary Horizon Europe Seeds project on the digitisation and valorisation of written cultural heritage.