AI4DQM workshop

Timetable

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• Fri 25/08

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09:00

10:00

11:00

12:00

13:00

14:00

Thomas Britton

Introduction/Welcome

Virtual

09:30 - 09:45

Florian Haslbeck

ATLAS status and future plans

Virtual

09:50 - 10:10

Torri Jeske

Traditional DQM at JLAB

Virtual

10:15 - 10:35

Requirements/Challenges with traditional methods Discussion

Virtual

10:35 - 10:55

Lunch

Virtual

11:00 - 12:00

Kishansingh Rajput

Siamese twin models

Virtual

12:05 - 12:25

Christopher Tennant

Data-Driven Detection, Identification, and Prediction of Accelerator Cavity Faults

Virtual

12:30 - 12:50

Kyungmin Park

Machine Learning based Anomaly Detection for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter

Virtual

12:55 - 13:15

Thomas Britton et al.

Hydra: Computer Vision for Data Quality Monitoring

Virtual

13:20 - 13:40

Applications Discussions

Virtual

13:45 - 14:05

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