Programme

  • 9:00 - 9:15 / Welcome and opening remarks :raised_hands:

  • 9:15 - 10:30 / Track 1: Nuclear & other Physics-based Imaging technologies :mega:

    • 9:15 - 9:40 / A new IBA imaging system for the transportable MACHINA accelerator, Rodrigo A. Torres Saavedra (Università di Firenze)

    • 9:40 - 10:05 / Pigments and Brush Strokes: Investigating the Painting Techniques Using MA-XRF and Laser Profilometry, Valerio Graziani (INFN-Roma3 & LASR3)

    • 10:05 - 10:30 / Adaptive Voronoi Binning in Muon Radiography for Detecting Subsurface Cavities, Andrea Paccagnella (Università di Firenze)

  • 10:30 - 11:00 / Coffee break :coffee:

  • 11:00 - 12:15 / Track 2: Generative Models & other disruptive Deep Learning methods for Physical Sciences :mega:

    • 11:00 - 11:25 / Abstracts Embeddings Evaluation: A Case Study of Artificial Intelligence and Medical Imaging for the COVID-19 Infection, Elisabetta Ronchieri (Università di Bologna & INFN-CNAF)

    • 11:25 - 11:50 / Optimizing Deep Learning Models for Cell Recognition in Fluorescence Microscopy: The Impact of Loss Functions on Performance and Generalization, Luca Clissa (Università di Bologna)

    • 11:50 - 12:15 / A Variational AutoEncoder for model independent searches of new physics at LHC, Giulia Lavizzari (Università di Milano Bicocca)

  • 12:15 - 12:30 / Discussion and closing remarks :wave:

  • 12:30 - 14:00 / Lunch break :spaghetti:

To each individual talk a time slot of 20 minutes (+ 5 minutes of question time) have been assigned

The PDF version of the workshop programme is available here!

The complete list of abstracts and accepted papers is available on the dedicated webpage