|
12:15
|
Lunch
(until 13:30)
|
|
13:30
|
Contributions 1
(until 15:30)
|
|
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
- Dr
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
(until 16:00)
|
|
16:00
|
Contributions 2
(until 17:00)
|
|
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
- Dr
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
(until 17:15)
|
