Name: ICALEPCS 2019: 1st Data Science and Machine Learning Workshop
Start: 2019-10-06T08:30:00-04:00
End: 2019-10-06T18:00:00-04:00
Location: Marriott at The Brooklyn Bridge

ICALEPCS 2019: 1st Data Science and Machine Learning Workshop

Sunday, 6 October 2019 - 08:30

Monday, 30 September 2019
Tuesday, 1 October 2019
Wednesday, 2 October 2019
Thursday, 3 October 2019
Friday, 4 October 2019
Saturday, 5 October 2019
Sunday, 6 October 2019
08:30 Welcome - Marco Lonza (Elettra Sincrotrone Trieste) Manuel Gonzalez Berges (CERN)
Welcome
- Marco Lonza (Elettra Sincrotrone Trieste)
- Manuel Gonzalez Berges (CERN)
08:30 - 08:35
08:35 Workshop Introduction - Marco Lonza (Elettra Sincrotrone Trieste) Manuel Gonzalez Berges (CERN)
Workshop Introduction
- Marco Lonza (Elettra Sincrotrone Trieste)
- Manuel Gonzalez Berges (CERN)
08:35 - 08:45
08:45 Machine Learning Introduction - Alfredo Canziani (New York University (NYU))
Machine Learning Introduction
- Alfredo Canziani (New York University (NYU))
08:45 - 09:15
09:15 Tutorial: Classification and Regression with Neural Networks - Alfredo Canziani (New York University (NYU))
Tutorial: Classification and Regression with Neural Networks
- Alfredo Canziani (New York University (NYU))
09:15 - 10:00
10:00 Coffee

10:00 - 10:30
10:30 Unsupervised Learning - Alfredo Canziani (New York University (NYU))
Unsupervised Learning
- Alfredo Canziani (New York University (NYU))
10:30 - 11:00
11:00 Tutorial: Reinforcement Learning - Gianluca Valentino (University of Malta (MT))
Tutorial: Reinforcement Learning
- Gianluca Valentino (University of Malta (MT))
11:00 - 12:15
12:15 Lunch

12:15 - 13:30
13:30 Contributions 1
13:30 - 15:30
Contributions

13:30 Harnessing data science for the control of systems - Sandra Biedron (Element Aero and University of New Mexico)

13:55 Adaptive Machine Learning for Particle Accelerators - alex scheinker

14:10 Surrogate Modelling - Andreas Adelmann

14:25 A Brief Overview of Machine Learning at Jefferson Lab - Chris Tennant (Jefferson Laboratory)

14:40 New Techniques for Operational Control and Performance Optimization at the Light Source BESSY II - Luis Vera Ramirez (Helmholtz-Zentrum Berlin)

14:55 CTLearn: Deep Learning for Gamma-ray Astronomy - Qi Feng (Barnard College)

15:10 Applications of optimiser and ML algorithms at CERN by the beam transfer, machine operators and IT compute & monitoring groups - Pieter Van Trappen (CERN)
15:30 Coffee

15:30 - 16:00
16:00 Contributions 2
16:00 - 17:00
Contributions

16:00 Machine Learning for Automatic LHC Collimator Alignment - Gabriella Azzopardi (University of Malta (MT))

16:15 Reinforcement Learning for FEL performance optimization - Niky Bruchon (University of Trieste)

16:30 Machine Learning Based Reconfiguration of the BNL ATR Line - Jonathan Edelen (RadiaSoft LLC)

16:45 Machine Learning for High Energy Photon Source (HEPS) - Paul Chu (Institute of High Energy Physics, Chinese Academy of Science)
17:00 Wrap-up

17:00 - 17:15