Register by March 30, 2025 at https://mch25.astro.bas.bg for preferential rates. 
Late poster abstracts are also still accepted.

The #MCH25 conference focuses on applications of Computer Vision and Machine / Deep Learning techniques to heliophysics research and forecasting frameworks, as well on the integration of these techniques into observational, modeling and operational efforts for solar activity and heliospheric phenomena.

Invited speakers:
Andrés Asensio Ramos (Instituto de Astrofísica de Canarias, Spain)
Carlos José Díaz Baso (University of Oslo, Norway)
Sabrina Guastavino (University of Genoa, Italy)
Oleg Stepanyuk (Institute of Astronomy, Bulgarian Academy of Sciences, Bulgaria)

Topics to be covered at MCH25:
– Computer Vision and Machine Learning applications in heliophysics, including:
     – Solar magnetism
     – Solar activity (flares, CMEs, particles)
     – Solar wind
     – Space weather and space climate, gaps and applications to be tackled with CV and ML
     – Heliospheric radio emissions
– Computer Vision and Machine Learning techniques
– Explainable Machine Learning and Physics-informed networks
– Tools for CV and ML (based on Python, OpenCV, scikit-learn, TF/Pytorch, etc)
– Research to Operations augmented by CV/AI

Scientific Organising Committee: Jorge Amaya (ESA), Manolis Georgoulis (Applied Physics Laboratory, Johns Hopkins University, USA), Robert Jarolim (HAO, USA), Shane Maloney (Dublin Institute for Advanced Studies, Ireland), Michele Piana (Università di Genova, Italy),
Pietro Zucca (ASTRON, Netherlands), Kamen Kozarev (Bulgarian Academy of Sciences, Bulgaria).