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

Aug 17 – 21, 2026
National Institute for Space Research, São José dos Campos, SP, Brazil
America/Sao_Paulo timezone

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Contribution List

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  1. 35. Machine learning techniques for remote sensing of the Sun and inner heliosphere.
    Dr Francisco Andrés Iglesias (National Research Council (CONICET) / Universidad de Mendoza)
    Space Weather Forecasting & Operations
    Oral
    Machine Learning
  2. 31. Selected advances achieved by space- and balloon-borne missions
    Sami K. Solanki (Max Planck Institute for Solar System Research (MPS))
    Heliophysics & Space Weather
    Oral
    Opening Keynotes
  3. 36. Solar Magnetic Field Observation and AI Aplications
    Dr Junfeng Hou (Huairou Solar Observing Station National Astronomical Observatories,Chinese Academy of Sciences)
    Heliophysics & Space Weather
    Oral
    Machine Learning
  4. 33. The Data-Driven Evolution of Heliophysics: Bridging Physical Mechanisms and Machine Learning in the Inner Magnetosphere
    Victor Pinto (Universidad de Santiago de Chile)
    Machine Learning in Space, Earth & Atmospheric Sciences
    Oral
    Machine Learning
  5. 34. The Hainan Ionogram Dataset: Supporting AI-Enabled Spread-F Monitoring, Prediction, and Space Weather Operations.
    Zheng Wang (National Space Science Center, Chinese Academy of Sciences)
    HPC, Data Assimilation & Big Data Analytics
    Oral
    Machine Learning
  6. 32. The impact of machine learning, AI, and novel analysis tools to better understand the plasma dynamics of the Sun
    David B. Jess (Queen’s University Belfast)
    Heliophysics & Space Weather
    Oral
    Machine Learning