Scientific Program - News!!
| Time |
Event |
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08:30 - 09:00
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Registration - Registration |
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09:00 - 09:30
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Welcome (auditorium) |
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09:30 - 10:30
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Plenary 1 : T. Artières, An overview of Deep Learning Research and Results, T. Artières (auditorium) - T. Artières |
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10:30 - 11:00
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Coffee break (Salle des Voûtes) |
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11:00 - 11:30
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V. J. Schwanitz, Data-driven energy system research – recent advances and future directions (auditorium) - V. J. Schwanitz |
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11:30 - 12:00
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Z. Wang, Microparticle cloud diagnostic (MCD) for data-driven plasma experiments (auditorium) - Z. Wang |
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12:00 - 12:20
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J. Trieschmann, Coupling sputtering and transport simulations through a machine learning plasma-surface interface (auditorium) - J. Trieschmann |
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12:20 - 12:40
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J. Morales, First WEST experimental data analysis using machine learning algorithms (auditorium) - J. Morales |
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12:40 - 14:00
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Lunch (Salle des Voûtes) |
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14:00 - 14:30
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D. Morvay, Utilizing Big Data Methods within the Semiconductor Industry (auditorium) - D. Morvay |
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14:30 - 15:00
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K. van de Plassche, Surrogate modelling using feed forward neural networks for turbulent transport in fusion plasmas (auditorium) - K. van de Plassche |
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15:00 - 15:30
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J. Mlynar, Development and comparative tests of tomography at JET (auditorium) - J. Mlynar |
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15:30 - 16:00
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Coffee break (Salle des Voûtes) |
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16:00 - 17:30
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Poster Session 1 (Salle des Voûtes) |
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19:30 - 22:00
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Welcome Cocktail |
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| Time |
Event |
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09:00 - 10:00
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Plenary 2 : A. Bailey, Equipment Intelligence™: Plasma Science Driven by Semiconductor Data (auditorium) - A. Bailey |
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10:00 - 10:30
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H. Kino, Prediction ability and importance of descriptors of single-element physical sputtering yields based on sparse modeling (auditorium) - H. Kino |
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10:30 - 11:00
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Coffee break (Salle des Voûtes) |
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11:00 - 11:30
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S. Park, Control of the HARC Etching Processes in OLED Display Manufacturing Fab by Using the PI-VM Algorithm (auditorium) - S. Park |
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11:30 - 12:00
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H. Nakada, Data-driven Development of Plasma Process: Time-series Optimization of Etching Conditions Based on Reinforcement Learning (auditorium) - H. Nakada |
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12:00 - 12:30
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A. Solov’yov, MBN Explorer and Studio case studies with irradiation driven molecular dynamics (auditorium) - A. Solov’yov |
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12:30 - 13:30
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Lunch (Salle des Voûtes) |
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14:00 - 18:00
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Boat Tour to the Calanques - Boat Tour to the Calanques |
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| Time |
Event |
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09:00 - 10:00
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Plenary 3 : H. Ihssen, New Material Discovery Activities in the Framework of the European Energy Research Alliance (auditorium) - H. Ihssen |
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10:00 - 10:30
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J. Shinagawa, Pairing plasma diagnostics, theory and simulations with machine learning to overcome the limitations of big data analytics in complex plasma processes (auditorium) - J. Shinagawa |
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10:30 - 11:00
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Coffee break (Salle des Voûtes) |
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11:00 - 11:30
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K. Kamataki, Predictive insight based on grey box analysis of plasma process data (auditorium) - K. Kamataki |
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11:30 - 12:00
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K. Wende, From numbers to decisions - data processing in omics-driven approaches (auditorium) - K. Wende |
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12:00 - 12:30
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E. Kolemen, Machine Learning Control for fusion devices (auditorium) - E. Kolemen |
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12:30 - 12:50
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R. A. Guinee, A Novel Kalman Filter Bank Methodology For Time Series Prediction In Forecasting Applications - R. A. Guinee |
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12:50 - 14:00
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Lunch (Salle des Voûtes) |
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14:00 - 14:30
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M. Becker, Reuse of research data for plasma processes and applications with Plasma-MDS and INPTDAT (auditorium) - M. Becker |
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14:30 - 15:00
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M. Boyer, Accelerated predictive models for scenario optimization and control of tokamaks (auditorium) - M. Boyer |
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15:00 - 15:30
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M. R. Churchill, Deep Convolutional Neural Networks for Long Time Series Classification (auditorium) - M. R. Churchil |
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15:30 - 16:00
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Coffee break (Salle des Voûtes) |
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16:00 - 17:30
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Poster Session 2 (Salle des Voûtes) |
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19:30 - 22:00
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Conference Dinner |
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| Time |
Event |
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09:00 - 10:00
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Plenary 4 : R. Yoshida, Machine learning for materials design and discovery: how do we learn from little? (auditorium) - R. Yoshida |
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10:00 - 10:30
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A. Mesbah, Machine Learning for Process Monitoring and Control of Low-temperature Plasmas (auditorium) - A. Mesbah |
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10:30 - 11:00
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Coffee break (Salle des Voûtes) |
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11:00 - 11:30
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J. Kates-Harbeck, Disruption Prediction in Tokamak Fusion Reactors via Deep Learning at Scale (auditorium) - J. Kates-Harbeck |
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11:30 - 12:00
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M. Blatzheim, Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X (auditorium) - M. Blatzheim |
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12:00 - 12:30
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A. Ho, Application of Gaussian process regression techniques to experimental plasma profile fitting and model validation (auditorium) - A. Ho |
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12:30 - 14:00
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Lunch (Salle des Voûtes) |
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14:00 - 14:30
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B. Spears, Learning-based predictive models: a new approach to integrating large-scale simulations and experiments (auditorium) - B. Spears |
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14:30 - 15:00
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O. Agullo, Prediction of magnetic island dynamics with neural networks (auditorium) - O. Agullo |
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15:00 - 15:30
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P. Rodriguez-Fernandez, Surrogate-Based Optimization Techniques for the Validation of Plasma Transport Models (auditorium) - P. Rodriguez-Fernandez |
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15:30 - 16:00
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Coffee break (Salle des Voûtes) |
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16:00 - 17:30
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Round Table |
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| Time |
Event |
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09:00 - 10:00
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Plenary 5 : C. S. Chang, Federated Data-Science for Accelerated Fusion Research: Why do we need it and how do we achieve it? (auditorium) - C. S. Chang |
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10:00 - 10:30
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F. Matos, Plasma State Classification and ELM detection using Convolutional Long Short-Term Memory Neural Networks (auditorium) - F. Matos |
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10:30 - 11:00
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Coffee break (Salle des Voûtes) |
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11:00 - 11:30
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T. Cartier-Michaud, PoPe method for code verification and model reduction: Focus on numerical diffusion (auditorium) - T. Cartier-Michaud |
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11:30 - 12:00
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Closing ceremony (auditorium) |
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