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Workshop on AI for Accelerating Fusion and Plasma Science

28 November 2023 to 1 December 2023

IAEA Headquarters

Europe/Vienna timezone

Workshop programme now available

Contact

M.Barbarino@iaea.org

Speaker List

Cihan Akcay (General Atomics)
- Speaker at EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
feda almuhisen (cea cadarache)
- Speaker at Machine Learning Approaches in Plasma State Recognition: An Overview of the STARE
Rick Archibald
- Speaker at Improving Predictions Under Uncertainty of Material Plasma Device Operations
Matteo Barbarino (International Atomic Energy Agency)
- Speaker at Intro to the Workshop and Logistics
Mario Belotti (UNED)
- Speaker at A new Neural Network Assisted CAD-based Analytical Real-Time Estimator (NACARTE) for photon dose assessment
Matteo Bonotto
- Speaker at A device-independent pipeline for benchmarking AI-driven disruption prediction models
Francesco Cannarile (Eni S.p.A.)
- Speaker at A device-independent pipeline for benchmarking AI-driven disruption prediction models
BARBARA Cannas (ENEA-University of Cagliari)
- Speaker at Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
Veronika Cheplygina (IT University of Copenhagen)
- Speaker at Cats, crowds and other considerations for learning with limited labelled data
Randy Churchill (Princeton Plasma Physics Laboratory)
- Speaker at Intro to AI Track
Benoît Clavier (Aix-Marseille Université, CNRS, Centrale Marseille, M2P2 UMR 7340, Marseille, France)
- Speaker at Turbulent electric potential generation for particle trajectories integration
Thomas Edwards (First Light Fusion Ltd.)
- Speaker at Hybrid Bayesian Optimisation / Evolution Strategy applied to the design of uni-axially driven ICF targets
Guillaume Fuhr (Aix-Marseille University)
- Speaker at FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
Linda GESENHUES (European High-Performance Computing Joint Undertaking)
- Speaker at The European High Performance Computing Joint Undertaking - Leading the way in European supercomputing
Vignesh Gopakumar (UK Atomic Energy Authority)
- Speaker at Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Palak Jain (IAEA)
- Speaker at Closing
Aaro Järvinen (VTT)
- Speaker at Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Frank Jenko (Max Planck Institute for Plasma Physics)
- Speaker at Physics-Preserving AI-Accelerated Simulations of Turbulent Transport
Ilon Joseph (Lawrence Livermore National Laboratory)
- Speaker at Exploration of Quantum Computing for Fusion Energy Science Applications
Abbie Keats (Science and Technology Facilities Council)
- Speaker at Efficient generation of synthetic datasets for magnetic confinement fusion
Samy Kerboua-Benlarbi (CEA- IRFM)
- Speaker at Deep reinforcement learning for magnetic control on WEST
Boseong Kim (Korea Institute of Fusion Energy)
- Speaker at Self-consistent time series tracking for phase difference and improved density profile reconstruction scheme on the KSTAR reflectometer
Egemen Kolemen (Princeton University)
- Speaker at Avoiding plasma instabilities with artificial intelligence
Bogdan Kustowski (Lawrence Livermore National Laboratory)
- Speaker at Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Matisse Lanzarone (Aix-Marseille Universite)
- Speaker at Neural Network Surrogate for Acceleration of Gyrokinetic Codes
Chanyoung Lee (Korea Institute of Fusion Energy)
- Speaker at Virtual KSTAR and potential AI/ML applications in the digital twin platform
Nikolai Leshov (Troitsk Institute for Innovation and Fusion Research)
- Speaker at Plasma density raw signal prediction to duplicate feedback in tokamak control system to enhance reliability
Dong Li
- Speaker at Fast Plasma Tomography using De-convolutional and DNN methods
Ze Li
- Speaker at Optimization of local volume ignition targets
Hui Li (Dalian University of Technology)
- Speaker at A deep learning-based model for the cross-scale instability in fusion plasma
Dariusz Makowski (Lodz University of Technology, Department of Microelectronics and Computer Science)
- Speaker at Scalable and Reliable Platform for AI-based Image Acquisition and Processing
Lee Margetts (UKAEA)
- Speaker at Symbiotic Design of Fusion Power Plants
Abhilash Mathews
- Speaker at Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experiment
Ryan McClarren (University of Notre Dame)
- Speaker at Intro to Physics/Engineering Track
Dorian MIDOU (CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France)
- Speaker at Machine Learning Approaches in Plasma State Recognition: An Overview of the STARE
Raphael MITTEAU (CEA/IRFM)
- Speaker at Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Vadim Nemytov (Tokamak Energy Ltd.)
- Speaker at Recurrent neural network-based digital twin of ST40 tokamak dynamics: building system insight into model architecture
Dong Keun Oh (KFE (Korea Institute of Fusion Energy))
- Speaker at Probabilistic modeling of signal intensity on the spectrograms of microwave reflectometry for the plasma diagnostics of electron density profile
Maria Ortiz de Zuniga (Fusion for Energy)
- Speaker at Development and analysis of Al tools for welding success rate prediction and the posterior output processing of PAUT applied to welding defects detection in the ITER VV manufacturing
Alessandro Pau (Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH 1015 Lausanne, Switzerland)
- Speaker at Intro to Enabling Infrastructure Track
Aleix Puig Sitjes (Max-Planck-Institut für Plasmaphysik)
- Speaker at Multi-device dataset of infrared images for the control of thermal loads with machine learning
Hossein rasouli
- Speaker at Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Cristina Rea (Massachusetts Institute of Technology)
- Speaker at Intro to Special Session
- Speaker at Intro to the Workshop and Logistics
Jaemin Seo (Chung-Ang University)
- Speaker at Leveraging physics-informed AI computing for simulating the transport of fusion plasmas
Chengshuo Shen (Huazhong University of Science and Technology)
- Speaker at Predicting disruption in future tokamaks with fewer data by more physics-guided
Brendan Tracey (Google DeepMind)
- Speaker at Magnetic Control of Tokamak Plasmas through Deep Reinforcement Learning
Christos Vagkidis (Institute of Interfacial Process Engineering and Plasma Technology, IGVP)
- Speaker at A machine learning approach to the inverse scattering problem
Allen Wang (MIT)
- Speaker at Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
- Speaker at Reinforcement Learning for Rampdown Scenario Design and Active Disruption Avoidance
Shuo Wang (Southwestern Institute of Physcis)
- Speaker at AI-driven tokamak control in HL-2A/2M
Sven Wiesen (Forschungszentrum Jülich)
- Speaker at Fast surrogate models for power and particle exhaust in fusion
Xiaohu Yang (National University of Defense Technology)
- Speaker at Machine learning optimization for laser driven implosions towards high gain fusion
Fei Yang (Zhejiang Lab)
- Speaker at Data reactor meets fusion reactor: a computational infrastructure for fusion study
Zongyu Yang
- Speaker at PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Enrique Zapata Cornejo (ITER-Aix Marseille University)
- Speaker at Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Wei Zheng (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, Huazhong University of Science and Technology)
- Speaker at Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
Ben Zhu (Lawrence Livermore National Laboratory)
- Speaker at Data-driven model for divertor plasma