Name: 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis
Start: 2021-11-29T11:55:00+01:00
End: 2021-12-06T17:00:00+01:00
Location: Virtual event

4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis

from Monday, 29 November 2021 (11:55) to Monday, 6 December 2021 (17:00)

Monday, 29 November 2021

12:00

12:00 - 12:10
12:10 Tutorial session
Tutorial session
12:10 - 15:30
Contributions

12:10 Introduction to IMAS - S. Pinches

13:10 Demonstration of the FAIR4Fusion Data Discovery and Access Portal - Shaun de Witt (UKAEA)

13:30 Introduction to Scientific Machine Learning and Deep Learning - M. Churchill

14:30 Introduction to Bayesian methods and their use in fusion data analysis - G. Verdoolaege
15:30 Data analysis preparation for ITER and Software Tools for ITER diagnostics (Chaired by S. Pinches)
Data analysis preparation for ITER and Software Tools for ITER diagnostics (Chaired by S. Pinches)
15:30 - 17:30
Contributions

15:30 Mori-Zwanzig projection operator method as a statistical correlation analysis of time-series data - Shinya Maeyama (Nagoya University)

15:45 CLASSIFYING AND LOCATING ALFVÉN EIGENMODES IN TOKAMAK PLASMAS BASED ON A HIGH RESOLUTION ECE DIAGNOSTIC AT DIII-D USING DEEP NEURAL NETWORKS AND IMAGE PROCESSING TECHNIQUES - Azarakhsh Jalalvand (Ghent University )

16:00 CATALOGUING OF ITER SIMULATIONS USING SIMDB - Jonathan Hollocombe (UKAEA)

16:30 tofu: an open-source python library for synthetic diagnostics, data analysis and inversions for fusion - Didier VEZINET

16:45 Bringing Anomalous Transport Models to the TRANSP Code as IMAS Components - Alexei Pankin (Princeton Plasma Physics Laboratory)

17:00 Update of the architecture for the implementation of the fusion FAIR data framework. - Marcin Plociennik (PSNC)

17:10 A Preliminary Study on Experimental Data Analysis System and Breakdown Prediction Based on Neural Networks for EAST-NBI - Jinxin Wang (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)
Tuesday, 30 November 2021
12:00 Data Analysis for Fusion Reactor; (Chaired by D. Mazon)
Data Analysis for Fusion Reactor; (Chaired by D. Mazon)
12:00 - 12:55
Contributions

12:00 FAST CHARACTERIZATION OF PLASMA STATES IN W7-X WITH PERMUTATION ENTROPY - Juan Guerrero Arnaiz

12:15 Offline automated model predictive control of SOLPS-ITER plasma edge simulations - Sebastian De Pascuale (Oak Ridge National Laboratory)

12:30 Single Gaussian process method for profile fitting in arbitrary tokamak regimes - Jarrod Leddy (Tech-X Corporation)

12:45 Informed Sampling of the Plasma Hyperspace for Digital Twinning - Vignesh Gopakumar (UK Atomic Energy Authority)
12:55 Uncertainty Propagation of Experimental Data in Modelling Codes; (Chaired by D. McDonald)
Uncertainty Propagation of Experimental Data in Modelling Codes; (Chaired by D. McDonald)
12:55 - 14:05
Contributions

12:55 FAST INTEGRATED MODELLING USING A NEURAL NETWORK SURROGATE MODEL FOR TURBULENT TRANSPORT - Karel van de Plassche (DIFFER)

13:20 IMPROVEMENTS IN EFFICIENCY OF GYROKINETIC SIMULATION RUNS WITH CONVOLUTIONAL NEURAL NETWORK MODELS ANALYZING NONLINEAR SATURATION PROCESSES - Emi Narita (National Institutes for Quantum and Radiological Science and Technology)

13:35 Utilising cloud resources to perform Monte-Carlo based UQ of fusion simulations - James Buchanan (United Kingdom Atomic Energy Authority)

13:50 NON-PARAMETRIC INFERENCE OF IMPURITY TRANSPORT COEFFICIENTS IN THE ASDEX UPGRADE TOKAMAK. - Takashi Nishizawa (Max Planck Institute for Plasma Physics)
14:05 Applications of probabilistic inference and statistics; (Chaired by G. Verdoolaege)
Applications of probabilistic inference and statistics; (Chaired by G. Verdoolaege)
14:05 - 15:55
Contributions

14:05 Bayesian Inference of Experimental Particle Transport in Tokamak Plasmas - Francesco Sciortino (MIT)

14:30 BAYESIAN PROBABILISTIC DATA ANALYSIS PLATFORM R&D ON HL-2A - Tianbo Wang (Southwestern Institute of Physics)

14:45 Development of Data Assimilation System for Control of Toroidal Plasmas - Yuya Morishita (Department of Nuclear Engineering, Kyoto University)

15:00 A Bayesian model of filamentary dynamics in MAST - Lynton Appel

15:15 Normalizing flows for likelihood-free inference with fusion simulations - Randy Churchill (Princeton Plasma Physics Laboratory)

15:30 Energy confinement scaling with machine size in the updated ITPA global H-mode confinement database - Joseph Hall Peizheng Zhang (Nankai University)

15:45 AN EXAMPLE FOR COMPLEMENTARITY BETWEEN PLASMA PHYSICS AND DATA-DRIVEN RESEARCH - Masayuki YOKOYAMA (National Institute for Fusion Science)
Wednesday, 1 December 2021
12:00 Real time prediction of off-normal events, with particular attention to disruption and predictive maintenance; (Chaired by A. Murari)
Real time prediction of off-normal events, with particular attention to disruption and predictive maintenance; (Chaired by A. Murari)
12:00 - 14:15
Contributions

12:00 OPEN WORLD LEARNING: A NEW PARADIGM FOR DISRUPTION PREDICTION - Michela Gelfusa (University of Rome Tor Vergata)

12:25 Adaptive and transfer learning for disruption classification and prevention on ASDEX-Upgrade and JET - Riccardo Rossi (Department of Industrial Engineering, University of Rome Tor Vergata)

12:40 REAL-TIME INFERENCING AND CONTROL FOR FAST PLASMA DYNAMICS WITH BEAM EMISSION SPECTROSCOPY AT DIII-D - David Smith (University of Wisconsin-Madison)

12:55 PERFORMANCE ANALYSIS OF THE CENTROID METHOD PREDICTOR IN THE JET REAL TIME NETWORK - Dhaval Gadariya (CIEMAT)

13:10 COMPARISON OF UNSUPERVISED METHODS TO DETERMINE COMMON PATTERNS IN THE TERMINATION PHASE OF DISRUPTIVE DISCHARGES IN JET - Jesús Vega (CIEMAT)

13:25 REAL-TIME DISRUPTION PREDICTION IN THE PLASMA CONTROL SYSTEM OF HL-2A BASED ON DEEP LEARNING - Zongyu Yang

13:35 Predicting locked-mode disruptions with explainable deep learning on MHD spectrograms - Diogo R. Ferreira (IPFN / IST, University of Lisbon)

13:55 DISRUPTION PREDICTION BASED ON PHYSICAL FEATURE EXTRACTION IN J-TEXT AND EAST - Chengshuo Shen (Huazhong University of Science and Technology)
14:15 Image Processing; (Chaired by J. Stillerman)
Image Processing; (Chaired by J. Stillerman)
14:15 - 15:10
Contributions

14:15 Toward Automatic Wall Protection of Magnetic Fusion Reactors based on Infrared Monitoring - Raphael MITTEAU (CEA/IRFM)

14:40 Deep Learning and Image Processing for the Automated Analysis of Thermal Events on the First Wall and Divertor of Fusion Reactors - Erwan Grelier (Commissariat à l'énergie atomique et aux énergies alternatives)

14:55 SPATIO-TEMPORAL DETECTION AND TRACKING OF THERMAL EVENTS ON THE PLASMA FACING COMPONENTS OF WENDELSTEIN 7-X - Aleix Puig Sitjes (Max-Planck-Institut für Plasmaphysik)
15:10 Deep Learning; (Chaired by P. Rodriguez-Fernandez)
Deep Learning; (Chaired by P. Rodriguez-Fernandez)
15:10 - 16:50
Contributions

15:10 EMPIRICAL MODELING OF KINETIC PROFILE SHAPES USING NEURAL NETWORKS - Mark Boyer (Princeton Plasma Physics Laboratory)

15:35 PLASMA CONFINEMENT MODE CLASSIFICATION USING A SEQUENCE-TO-SEQUENCE NEURAL NETWORK WITH ATTENTION - Francisco Matos

15:50 Reduced transport model development informed by machine learning tools - Tom F. Neiser (General Atomics)

16:05 Data Forcasting of Gyro-Landau Extended Fluid Code Using Neural Networks - Lian Wang (Southwestern Institute of Physics)

16:20 Machine learning models for real-time inference of plasma dynamics using the 2-dimensional beam emission spectroscopy system at DIII-D - Lakshya Malhotra (University of Wisconsin-Madison)

16:30 DISRUPTION PREDICTION WITH DEEP HYBRID NEURAL NETWORK FEATURE EXTRACTOR DESIGNED SPECIFIC FOR TOKAMAK ON J-TEXT - Fengming Xue

16:40 Scalable Bayesian inference with model based machine learning - Andrea Pavone (Max-Planck Institute for Plasma Physics)
Thursday, 2 December 2021
12:00 Inverse Problems; (Chaired by M. Churchill)
Inverse Problems; (Chaired by M. Churchill)
12:00 - 13:55
Contributions

12:00 Deep learning for fast Bayesian inference of plasma diagnostic models - Andrea Pavone (Max-Planck Institute for Plasma Physics)

12:25 APPLICATION OF TOMOGRAPHY METHODS IN EAST LINE-INTEGRATED X-RAY RADIATION DIAGNOSTICS - Liqing Xu (ASIPP)

12:40 Design of a soft-X ray imaging system and tomography analysis based on Bayesian principle - Yiming Zu (University of Science and Technology of China)

12:55 Progress in the Application of Machine Learning and Artificial Intelligence To Enhance EFIT Equilibrium Reconstruction for Fusion Data Analysis and Real-Time Applications - Lang Lao (General Atomics)

13:10 DEVELOPMENT OF INVERSE THERMOGRAPHY METHODS BASED ON INFRARED SYNTHETIC DIAGNOSTIC - Marie-Hélène Aumeunier (CEA/IRFM)

13:35 RESEARCHES ON THE RECONSTRUCTION ALGORITHM OF ELECTRON DENSITY PROFILES BASED ON MACHINE LEARNING TECHNIQUES - TING LAN (Huazhong University of Science and Technology)

13:45 An advanced plasma current tomography based on Bayesian inference and neural networks - Zijie Liu (University of Science and Technology of China(USTC)) Yao Huang ( Institute of Plasma Physics, Chinese Academy of Science) Jiangang Li ( Institute of Plasma Physics, Chinese Academy of Science) YueHang Wang ( Institute of Plasma Physics, Chinese Academy of Science) Bingjia Xiao ( Institute of Plasma Physics, Chinese Academy of Science) Qingze Yu ( Institute of Plasma Physics, Chinese Academy of Science)
13:55 Causality Detection in Time Series; (Chaired by J. Vega)
Causality Detection in Time Series; (Chaired by J. Vega)
13:55 - 15:05
Contributions

13:55 OBSERVATIONAL CAUSALITY DETECTION FOR TIME SERIES: FROM THEORY TO PRACTICE - Andrea Murari (Consorzio RFX)

14:20 ASSESSING PHASE AND AMPLITUDE INFLUENCE IN SYNCHRONIZATION EXPERIMENTS - Teddy CRACIUNESCU (National Institute for Lasers, Plasma and Radiation Physics INFLPR, Magurele, Romania)

14:35 DETECTING CAUSAL RELATIONS BETWEEN TIME SERIES WITH NEURAL NETWROKS - Luca Spolladore (University of Roma "Tor Vergata")

14:50 CONDITIONAL RECURRENT PLOTS AND TRANSFER ENTROPY FOR OBSERVATIONAL CAUSALITY DETECTION - Emmanuele Peluso (University of Rome Tor Vergata)
15:05 Synthetic Diagnostics, Integration, Verification and Validation; (Chaired by A. Dinklage)
Synthetic Diagnostics, Integration, Verification and Validation; (Chaired by A. Dinklage)
15:05 - 16:15
Contributions

15:05 Error estimation in filament measurements using a synthetic probe - Brendan Shanahan (Max-Planck-Institut für Plasmaphysik)

15:30 STATUS, PROSPECTS, AND BENCHMARKING OF THE MINERVA BAYESIAN MODELING FRAMEWORK AT WENDELSTEIN 7-X - Andreas Langenberg (Max-Planck-Institut für Plasmaphysik,17491 Greifswald, Germany)

15:45 Anisotropic diffusion as a proxy model for the estimation of heat-loads on plasma-facing components - Alexander Knieps (Forschungszentrum Jülich)

16:00 DEVELOPMENT OF THE ITER SYNTHETIC REFLECTOMETRY DIAGNOSTIC - Valentina Nikolaeva (ITER Organization)
Friday, 3 December 2021
12:00 Integrated Data Analysis; (Chaired by R.Fischer)
Integrated Data Analysis; (Chaired by R.Fischer)
12:00 - 13:50
Contributions

12:00 Integrated Data Analysis: Status and Prospects for Future Fusion Devices - Rainer Fischer

12:15 DEVELOPMENT OF SYNTHETIC DIAGNOSTICS FOR ITER - Mireille SCHNEIDER (ITER Organization)

12:30 ANALYSIS OF ELECTRON CYCLOTRON EMISSION MEASUREMENTS WITH RADIATION TRANSPORT MODELING IN PRESENT AND FUTURE FUSION DEVICES - Severin Denk (Plasma Science and Fusion Center, Massachusetts Institute of Technology)

12:55 Implementation and validation of swept density reflektometry to integrated data analysis at ASDEX Upgrade - Dirk Stieglitz (Max Planck Institute for Plasma Physics)

13:10 Synthetic diagnostics tools for identification of the L-H transition in ITER PFPO campaigns - Anna Medvedeva (ITER Organization)

13:25 IMAS - INTEGRATED WORKFLOW FOR ENERGETIC PARTICLE STABILITY - Alin Popa (Max Planck Institute for Plasma Physics Garching)

13:40 WEST DATA PROCESSING WORKFLOW AND STATISTICAL ANALYSIS - Jorge Morales (CEA)
13:50 Big data; (Chaired by J. Stillerman)
Big data; (Chaired by J. Stillerman)
13:50 - 15:45
Contributions

13:50 Near real-time streaming analysis of big fusiondata - Ralph Kube (Princeton Plasma Physics Laboratory)

14:05 FUSION CLOUD – Open Science Platform for Fusion Research in Japan – - Hideya Nakanishi (National Institute for Fusion Science)

14:20 TOWARDS IMPLEMENTING THE FAIR4FUSION OPEN DATA BLUEPRINT - Michal Owsiak (PSNC - ICHB PAS) Stasinos Konstantopoulos (NCSR Demokritos)

14:35 DEVELOPMENT OF A FAIR BASED APPROACH TO DATA MANAGEMENT AND SHARING WITHIN EUROFUSION - Pär Strand (Chalmers University of Technology)

14:50 DATA-DRIVEN DISCOVERY APPROACH TO TACKLE TURBULENCE IN FUSION PLASMA - Luigui Salazar

15:05 Experimental data analysis and Proposal validation of EAST tokamak based on machine learning approach - Chenguang Wan (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)

15:15 PROVENANCE IN FUSION: APPLYING THE W3C-PROV MODEL TO FUSION DATA - Nathan Cummings (UKAEA)

15:25 Full life-cycle provenance of physical modules repositories for integrated modeling and analysis workflow - Xiaojuan Liu (Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences)

15:35 Making MAST Open Data FAIR Compiant - Shaun de Witt (UKAEA)
Saturday, 4 December 2021
Sunday, 5 December 2021

Monday, 6 December 2021
12:00 AI expert perspectives outside fusion; Hosted by M. Xu
AI expert perspectives outside fusion; Hosted by M. Xu
12:00 - 13:00
Contributions

12:00 Introductions to Digital Twin and Knowledge Graph Applications at Zhejiang Lab - W. Jia (Zhejiang LAB)

12:30 UNSUPERVISED LEARNING FOR LATENT DATA ANALYSIS USING SOURCE SEPARATION - X. Xiong (Artificial Intelligence Key Lab of Sichuan Province)
13:00 Round table Discussion; Hosted by D. Mazon
Round table Discussion; Hosted by D. Mazon
13:00 - 14:00

14:00 Conference Summary; Hosted by G. Verdoolaege
Conference Summary; Hosted by G. Verdoolaege
14:00 - 14:30

14:30 Conference Closure; Hosted by Sehila Gonzalez
Conference Closure; Hosted by Sehila Gonzalez
14:30 - 14:40