Go to Content 1 Go to Home 2 Go to Navigation 3 Go to Search 4 Go to Sitemap 5
Abrir menu principal de navegação
Instituto Nacional de Pesquisas Espaciais
Most searched terms
  • imposto de renda
  • inss
  • assinatura
  • cnh social
  • mei
Most searched terms
  • imposto de renda
  • inss
  • assinatura
  • GOV.BR
    • Services
      • Search services by
        • Categories
        • Departments
        • States
      • Services by target audience
        • Citizens
        • Companies
        • Departments and Public Entities
        • Other segments (NGOs, social organizations, etc)
    • Application Gallery
    • Navigation
      • Acessibility
      • Sitemap
    • Government of Brazil
      • Latest News
        • 2021
        • 2022
Useful Links
  • Application Gallery
  • Get involved
  • Application Gallery
  • Get involved
Social Networks
  • Twitter
  • YouTube
  • Facebook
  • Instagram
Você está aqui: Home Events GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather
Info

Diversidade

Português
GSST/CBERS-5 International Symposium on Machine Learning in Heliophysics and Space Weather
Registration and Financial Support
Vênue
Information
Tourist Attractions in São José dos Campos
Organization
Abstract Submission
Author Presentation Guidelines
Mini-ISWAT
Speaker List

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

August 17–21, 2026 – INPE, São José dos Campos, Brazil

The GSST/CBERS-5 Symposium on Machine Learning in Heliophysics and Space Weather and Mini-ISWAT Session will bring together researchers, engineers, and data scientists working at the interface between artificial intelligence and solar-terrestrial physics.

This focused symposium aims to explore how Machine Learning (ML) and Computer Vision (CV) can enhance our understanding of heliophysical phenomena and improve predictive capabilities in space weather and space climate. The discussions will highlight opportunities within the frameworks of the Galileo Solar Space Telescope (GSST) and China-Brazil Earth Resources Satellite 5 (CBERS-5) missions, promoting collaborative efforts across the Brazilian and international scientific communities.

Topics to be Covered

  • Computer Vision and Machine Learning applications in heliophysics
  • Solar magnetism and magnetic-field inference
  • Solar activity: flares, CMEs, and energetic particles
  • Solar wind dynamics and heliospheric structures
  • Space weather monitoring and forecast
  • Physics-Informed Neural Networks
  • Research-to-Operations processes augmented by AI and CV

Format and Participation

The symposium will feature invited talks, contributed oral presentations, and discussion sessions. Participation from both academia and operational space-weather centers is encouraged to bridge research and applications.

Important Dates

  • 11 February 2026: Submission of abstract for oral and poster sessions opens/ Call for forecast application opens/ Submission of applications for financial support opens 
  • 7 May 2026: Deadline for abstract submission / Call for space weather forecast application closes
  • 14 May 2026: Notification of abstract acceptance
  • 14 June 2026: Deadline for financial support application
  • 13 July 2026: Deadline for early registration (participants awarded  financial support)
  • 17–21 August 2026: Conference     
  • 31 December 2026: Paper submission deadline

Organization

The symposium is organized in the framework of the Galileo Solar Space Telescope (GSST) and China-Brazil Earth Resources Satellite 5 (CBERS-5) missions, with support from collaborating institutions and agencies.

Realization

SolarAI

GSST

Mackenzie

UniVapINPE

Support

SBGEAFapespCapesCNPqPEBAEBMCTI
CBJLSWIMCPNSSC


    Reset Cookies
    Social Networks
    • Twitter
    • YouTube
    • Facebook
    • Instagram
    Acesso àInformação
    All content on this site is published under license Creative Commons Attribution-NoDerivs 3.0 Unported.
    Voltar ao topo da página
    Fale Agora Refazer a busca