Talks

Talks in reversed chronological order.

2026


2025

European AI for Fundamental Physics Conference
Talk
  • June, 19th, 2025, (Cagliari)
    2th Edition

    Title: Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders

    Slides.

2024

ICSC and Spoke 2 - Where are we now?
Invited Talk
  • December, 11th, 2024, (Catania)
    1th Edition

    Title: Simulating systems with Physics Informed Neural Networks

    Slides.
Società Italiana di Fisica (SIF)
Talk
  • September, 13th, 2024, (Bologna)
    42th Edition

    Title: Datacube Segmentation via Deep Spectral Clustering

    Slides.
AI_INFN User Forum
Invited Talk
  • June, 11th, 2024, (Bologna)
    1th Edition

    Title: Virtual Painting recoloring using Vision Transformer on Deep Embedded X-Ray Fluorescence synthetic dataset

    Slides.

2023

Conferenza GARR 2023 - Saperi Internconnessi
Talk
  • June, 15th, 2023, (Firenze)
    2023 Edition

    Title: A Cloud Computing infrastructure for the Competence Centre for the Conservation of Cultural Heritage (4CH)

    Slides. Proceeding.

2022

Plenary Talk @ INFN, Pisa
Talk
  • December, 12th, 2022, (Pisa)
    Talk

    Title: Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH)

    Slides.
Workshop on Advancements in Applied Machine-learning and Data Analytics (AAMDA), ICCSA Conference 2022
Talk
  • July, 7th, 2022, (Malaga, Spain)
    2nd Edition

    Title: Hyperparameter optimisation of Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) models

    Slides. Best paper award.
International Workshop on Artificial Intelligence for Digital Humanities (AI4DH), ICIAP Conference 2021
Talk
  • May, 24th, 2022, (Lecce)
    1st Edition

    Title: Towards the creation of AI-powered queries using Transfer Learning on NLP model: the THESPIAN-NER experience

    Slides.
AI@INFN - Artificial Intelligence at INFN
Talk
  • May, 3rd, 2022, (Bologna)
    1st Edition

    Title: Using X-ray technologies and deep neural networks for digital restoration of paintings: the CHNet AIRES-CH project

    Slides.