1st Workshop on Artificial Intelligence in Plasma Science

Invited Speakers

Tatsuya Yokoyama (Univ. of Tokyo,Japan): Data-driven prediction of radiative collapse for avoidance in fusion plasmas
Kai Schneider (Aix Marseille Univ., France): Wavelets and turbulence: coherent vorticity extraction and a wavelet-based CNN3d for superresolution of turbulent vorticity
Satoshi Odachi (NIFS, Japan): Tomographic reconstruction of the tangential viewing image of the toroidal plasma -- Comparison of non-stationary Gaussian Process method and the orthogonal decomposition method with L1 regularization
Andrés de Bustos (CIEMAT, Spain): Automatic identification of MHD modes in magnetic fluctuation spectrograms using deep learning techniques
Nathaniel Saura (Aix Marseille Univ., France): Modeling of the Subgrid Stress Tensor in Homogeneous Isotropic Turbulence using 3D Convolutional Neural Network
Yanick Marandet (Aix Marseille Univ., France): Review of the French national fusion science program
Lars Banko (Ruhr Univ. Bochum, Germany): Variational autoencoders as visualisation and analysis tools for spectrum-like data.
Masayuki Yokoyama (NIFS, Japan): Plausible exploitation of statistical approaches on fusion science
Makoto Sasaki (Nihon Univ., Japan): Quantification and visualization of energy transfer among turbulent structures based on singular value decomposition
Kunihiro Kamataki (Kyushu Univ., Japan): Predictive analytics in plasma process using machine learning tools ant techniques
Jan Trieschmann (Brandenburg Univ. of Technology Cottbus-Senftenberg, Germany: Machine learning sputtering models for linking surface and plasma simulations
Giuseppe A. Rattá (CIEMAT, Spain): Disruption predictors in nuclear fusion by using machine learning methods: an overview
Jesus Vega (CIEMAT, Spain): Disruption prediction strategy for mitigation, prevention and avoidance at JET using machine learning techniques
Sadruddin Benkadda (Aix Marseille Univ., France): Physics Informed Artificial Intelligence