# Accelerating ATLAS Muon Tracking with Machine Learning-Based Segment Classification

- Institution: CERN
- Speaker: Karla Lucic
- Year: 2026
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3026687)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

**Project Description**: An attention-based graph neural network that filters muon-segment pairs before track seeding in the ATLAS Phase-II reconstruction, validated end to end in ATHENA.

**Supervisor**: Davide Di Croce, Johannes Junggeburth

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## Lectures

1. [Accelerating ATLAS Muon Tracking with Machine Learning-Based Segment Classification](https://invisiblenetwork.ai/learn/cern/3026687/a15e8039fe80), 8 min (CERN's player)