DESY
Author in the following contributions
- Introduction to Control Theory
- Efficient data-driven model predictive control for online accelerator tuning
- Towards Lattice-Agnostic Reinforcement Learning Agents for Transverse Beam Tuning
- High-Speed Differentiable Simulations as an Enabler for Reinforcement Learning-based FEL Tuning Agents
- Large language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
- Machine Learning for Calibration Drift Forecasting in Superconducting RF Cavities
- Analyzing the Impact of Seismic Activities on EuXFEL's Optical Synchronization System Using Data Mining
- Machine Learning for Quench Detection in SRF Cavities at the European XFEL
- Enhancing Quench Detection in SRF Cavities at the European XFEL: Machine Learning Approaches and Practical Challenges- 15'+5'
- Data-Driven Feedback Optimization for Particle Accelerator Control- 15'+5'