2nd ICFA Workshop on Machine Learning for Charged Particle Accelerators

Speaker List

• Ilya Agapov (DESY)
  • Speaker at

    Some ML approaches for low emittance storage rings

• Sandra Biedron (Element Aero and University of New Mexico)
  • Speaker at

    A decade of use of intelligent techniques in accelerators and overview of a new graduate program on the subject

  • Speaker at

    A decade of use of intelligent techniques in accelerators and overview of a new graduate program on the subject

• Willem Blokland (ORNL)
  • Speaker at

    Machine Learning at the SNS accelerator

• Tobias Boltz (KIT)
  • Speaker at

    Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning

• Chungming Chu (Institute of High Energy Physics)
  • Speaker at

    Machine Learning Platform for Accelerator Controls

• Loic Thomas Davies Coyle (CERN)
  • Speaker at

    Machine Learning - Optimizing beam lifetimes in the LHC

• Joseph Duris (SLAC)
  • Speaker at

    Bayesian Optimization for Online FEL Tuning at LCLS

• Auralee Edelen (SLAC)
  • Speaker at

    Deep Neural Networks

• Auralee Edelen (SLAC National Accelerator Laboratory)
  • Speaker at

    Machine Learning Based Surrogate Models for Beam Dynamics

  • Speaker at

    Toy Optics model

• Jon Edelen (Radiasoft)
  • Speaker at

    Introduction to the Computing Environment

• Jonathan Edelen (RadiaSoft)
  • Speaker at

    Methods for data-cleaning

• Simon Hirlaender (CERN)
  • Speaker at

    Automatic performance optimisation and first steps towards reinforcement learning at the CERN Low Energy Ion Ring

• Xiaobiao Huang (SLAC)
  • Speaker at

    Analysis of SPEAR3 injection history data with neural network

• Raimund Kammering (Deutsches Elektronen-Synchrotron (DESY))
  • Speaker at

    Update on recent optimisation / ML and modelling activities at the EuXFEL

• Johannes Kirschner (ETH Zurich)
  • Speaker at

    Fast and Safe Parameter Tuning of SwissFEL using Bayesian Optimization

  • Speaker at

    Gaussian Processes

• Andreas Krause (ETHZ)
  • Speaker at

    Towards Safe Reinforcement Learning

• Remi Lehe (LBNL)
  • Speaker at

    Using Gaussian Processes to target the injection boundary in laser-plasma simulations

• Yongjun Li (BNL)
  • Speaker at

    Application of machine learning in lattice design and correction

• Mojmir Mutny (ETH Zürich)
  • Speaker at

    Gaussian Processes

• Robert Nagler (Radiasoft)
  • Speaker at

    Introduction to the Computing Environment

• Ayla Nawaz (DESY)
  • Speaker at

    Bayesian Methods for Anomaly Detection

• Jim Alexander Ogren (CERN)
  • Speaker at

    Machine Learning and Tuning of the CLIC Final Focus System

• Karin Rathsman (European Spallation Source ERIC)
  • Speaker at

    ESS Control System Machine Learning Project

  • Speaker at

    ESS Control System Machine Learning Project

• Jochem Snuverink (PSI)
  • Speaker at

    Data Analysis and Regression

• Chris Tennant (Jefferson Laboratory)
  • Speaker at

    SRF Fault Classification using Machine Learning

• Sergey Tomin (European XFEL)
  • Speaker at

    Update on recent optimisation / ML and modelling activities at the EuXFEL

• Gianluca Valentino (University of Malta)
  • Speaker at

    Classification of LHC beam mode transition from beam loss data

• Gianluca Valentino (University of Malta)
  • Speaker at

    Unsupervised Learning & Clustering

• Pieter Van Trappen (CERN)
  • Speaker at

    Anomaly detection for beam transfer installations

• Luis Vera Ramirez (HZB)
  • Speaker at

    AI and optimisation at BESSYII

• Greg White (SLAC)
  • Speaker at

    Recording All the Data, All the Time, for ML Based Accelerator Tuning