Name: 2nd AI-INFN Advanced Hackathon
Start: 2025-11-24T00:00:00+01:00
End: 2025-11-27T16:00:00+01:00
Location: Collegio Borromeo, Pavia

2nd AI-INFN Advanced Hackathon

from Monday 24 November 2025 (00:00) to Thursday 27 November 2025 (16:00)

Monday 24 November 2025

09:00 Welcome to the 2nd AI INFN Hackathon
Welcome to the 2nd AI INFN Hackathon
09:00 - 09:30

09:30 AI and Computing @ INFN Pavia
AI and Computing @ INFN Pavia
09:30 - 10:30

10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 AI INFN: overview and resources access
AI INFN: overview and resources access
11:00 - 13:00
Contributions

11:00 High-level overview

11:30 AI_INFN in the Italian landscape

12:30 Access the resources
13:00 Lunch Break
Lunch Break
13:00 - 14:30
14:30 Innovative applications of Deep Learning
Innovative applications of Deep Learning
14:30 - 16:00
Contributions

14:30 Developing Artificial Intelligence in the Cloud: the AI_INFN platform & InterLink - Rosa Petrini (Istituto Nazionale di Fisica Nucleare)

14:50 ARDE: Neural network-based algorithms for discrimination between electrons and γ-rays - Naomi Marchini (Istituto Nazionale di Fisica Nucleare)

15:10 Neural Network for Classification and Assembly of Nuragic Amphorae - Marta Magalini (Istituto Nazionale di Fisica Nucleare)

15:30 Crop Classification using High-Performance Deep Learning Predictive Models for Agricultural Yields Analysis - Andrea Miola (Istituto Nazionale di Fisica Nucleare, University of Ferrara)
16:00 Tea Break
Tea Break
16:00 - 16:30
16:30 Medical Physics 1
Medical Physics 1
16:30 - 18:30
Contributions

16:30 Methodology insights of computing resource intensive analysis: the case of MGMT prediction on multiparametric MRI of patients with glioblastoma - Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)

16:45 AI-Driven Quantitative Imaging in Medical Physics: From Clinical Nuclear Medicine in Prostate Cancer to Preclinical Radiobiology Models - Giovanni Pasini (Istituto Nazionale di Fisica Nucleare)

17:00 CycleGAN for Kernel-to-Kernel CT Harmonization and Low-Dose CT Denoising via Transfer Learning - Francesca Camagni (Istituto Nazionale di Fisica Nucleare)

17:15 Development and Integration of an Automatic Patient Positioning Algorithm for BNCT within the IT_STARTS Treatment Planning System - Cristina Pezzi (Istituto Nazionale di Fisica Nucleare)

17:30 AI-assisted Thrombus Segmentation in Acute Ischemic Stroke Patients: a Multi-Disciplinary Approach - Giada Minghini Giada Minghini (Istituto Nazionale di Fisica Nucleare)

17:45 Control-Integrated Pipeline for Diseasome Analysis: A Case Study on Hypertension Comorbidities - Alice Magnoni (Istituto Nazionale di Fisica Nucleare)
Tuesday 25 November 2025
08:30 Seminars for exercises
Seminars for exercises
08:30 - 09:55
Contributions

08:30 Physics Informed Neural Networks - An introduction - Alessandro Bombini (FI)

09:20 PINN for dosimetry in Medical Physics - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare) Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
09:55 Medical Physics 2
Medical Physics 2
09:55 - 10:30
Contributions

09:55 Flow-Based Synthetic Data Generation for Fluorescence Spheroid Images - Tommaso Giacometti (Istituto Nazionale di Fisica Nucleare)

10:15 Novel Artificial Intelligence approaches for Redness Hyperemia Analysis - mariachiara stellato (University of Bologna)
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00
11:00 - 12:25
Contributions

11:00 Introduction to Quantum Computing and Machine Learning - Lorenzo Sestini (Istituto Nazionale di Fisica Nucleare)

11:50 Introduction to QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
12:25 Quantum Machine Learning
Quantum Machine Learning
12:25 - 13:00
Contributions

12:25 Learning time-varying Gaussian quantum lossy channels - Angela Rosy Morgillo (Istituto Nazionale di Fisica Nucleare)

12:45 Quantum Machine Learning for High-Energy Physics: A Quantum Neural Network Approach - Eric Ballabene (Istituto Nazionale di Fisica Nucleare)
13:00 Lunch Break
Lunch Break
13:00 - 14:30
14:30 Physics Informed Neural Networks applied to dosimetry in Medical Physics - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare) Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
Physics Informed Neural Networks applied to dosimetry in Medical Physics
- Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
- Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
Quantum Machine Learning with QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
Quantum Machine Learning with QUBO
- Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
16:00 Coffee Break
Coffee Break
16:00 - 16:30
16:30 Physics Informed Neural Networks applied to dosimetry in Medical Physics - Mattia Romeo (Istituto Nazionale di Fisica Nucleare) Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
Physics Informed Neural Networks applied to dosimetry in Medical Physics
- Mattia Romeo (Istituto Nazionale di Fisica Nucleare)
- Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
Quantum Machine Learning with QUBO - Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
Quantum Machine Learning with QUBO
- Laura Cappelli (Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
Wednesday 26 November 2025
08:30 Seminars for exercises
Seminars for exercises
08:30 - 09:35
Contributions

08:30 Introduction to Graph Neural Networks - Lorenzo Arsini

09:00 GNN with Attention for Jet Reconstruction in High Energy Physics - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
09:35 High Energy Physics
High Energy Physics
09:35 - 10:30
Contributions

09:35 Machine Learning for K0 Event Reconstruction in the LHCf Experiment - Andrea Paccagnella (Istituto Nazionale di Fisica Nucleare)

09:55 GN3: The Latest Transformer-Based Flavour Tagging Algorithm in ATLAS - Michele D'Andrea (Istituto Nazionale di Fisica Nucleare)

10:15 Deep Learning-Based identification of soft taus in the L1 Scouting stream for Phase-2 - Francesca Camagni (Istituto Nazionale di Fisica Nucleare) Valentina Camagni (Universita & INFN, Milano-Bicocca (IT))
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 Seminars for exercises
Seminars for exercises
11:00 - 12:40
Contributions

11:00 FPGA and Machine Learning: an introduction - Giulio Bianchini (Istituto Nazionale di Fisica Nucleare)

11:50 Introduction to data compression for Gravitational Waves - Luca Rei (Istituto Nazionale di Fisica Nucleare) Mirko Corosu (Istituto Nazionale di Fisica Nucleare)

12:20 The FPGA cluster in Milano Bicocca - Francesco Brivio (Istituto Nazionale di Fisica Nucleare) Simone Gennai (MIB) Simone Gennai (Istituto Nazionale di Fisica Nucleare)
12:45
12:45 - 13:00
Contributions

12:45 FPGA-based Deep Processing Units for Biomedical Segmentation: A U-Net Benchmarking Study - Valentina Sisini (Istituto Nazionale di Fisica Nucleare)
13:00 Lunch Break
Lunch Break
13:00 - 14:30

14:30 Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
14:30 - 16:00
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data
- Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
14:30 - 16:00
16:00 Tea Break
Tea Break
16:00 - 16:30

16:30 Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
Compression pipelines for Gravitational Waves deployed in hardware with FPGAs
16:30 - 18:30
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data - Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
Explainable GNN architecture with a mixture-of-experts orchestrator with ATLAS Open Data
- Stefano Giagu (Sapienza Università di Roma and Istituto Nazionale di Fisica Nucleare)
16:30 - 18:30
20:30 Social Dinner
Social Dinner
20:30 - 22:30
Thursday 27 November 2025
09:00
09:00 - 10:05
Contributions

09:00 Virgo Digital Twin: live demo - Francesco Sarandrea (INFN Torino) Lorenzo Asprea (Istituto Nazionale di Fisica Nucleare)
10:05 Astroparticles
Astroparticles
10:05 - 10:30
Contributions

10:05 Application of Artificial Intelligence Techniques to Tracking Systems in Space Experiments
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00 Astroparticles 2
Astroparticles 2
11:00 - 11:20
Contributions

11:00 Hybrid Theory-Simulation Machine Learning Approach to Backtracing - Luca Tabarroni (Istituto Nazionale di Fisica Nucleare)
11:20
11:20 - 13:00
Contributions

11:20 Final Hands-on - Francesco Vaselli (Istituto Nazionale di Fisica Nucleare)
13:00

13:00 - 13:30