GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather

Speaker List

• Viktor Fedun (School of Electrical and Electronic Engineering, The University of Sheffield, UK.)
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    Individual and Collective Dynamics of Vortical Structures in the Solar Atmosphere

• Junfeng Hou
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    Solar magnetic field observation for HSOS: from SMFT to SPO

• Francisco Iglesias (CONICET)
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    Machine learning techniques for remote sensing of the Sun and inner heliosphere

• Francisco Iglesias (Grupo de Estudios en Heliofísica de Mendoza (GEHMe), Universidad de Mendoza, Argentina)
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    Machine learning techniques for remote sensing of the Sun and inner heliosphere

• Robert Jarolim (High Altitude Observatory, NSF NCAR, USA.)
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    From Pixels to Physics: Reconstructing the Solar Atmosphere with Physics-Informed AI

• David B. Jess
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    The impact of machine learning, AI, and novel analysis tools to better understand the plasma dynamics of the Sun

• Peter Keys (Astrophysics Research Centre, Queen’s University Belfast (QUB), U.K.)
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    Computer Vision with small-scale magnetic elements in the photosphere

• Victor A. Pinto
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    The Data-Driven Evolution of Heliophysics: Bridging Physical Mechanisms and Machine Learning in the Inner Magnetosphere

• Sami Solanki (MPAE)
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    Selected advances achieved by space- and balloon-borne missions

• Gary Verth (School Mathematical and Physical Sciences, University of Sheffield, UK.)
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    Wave theories and modelling in the lower solar atmosphere

• Zheng Wang (National Space Science Center, CAS)
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    The Hainan Ionogram Dataset: Supporting AI-Enabled Spread-F Monitoring, Prediction, and Space Weather Operations