This interdisciplinary workshop will focus 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 modeling efforts of solar and heliospheric phenomena.

19-21 April, 2023
Sofia, Bulgaria
and online

Topics to be covered:
Computer Vision and Machine Learning applications in heliophysics,
including:
Solar magnetism
Solar activity (flares, CMEs, particles)
Solar wind
Space weather and space climate
Heliospheric radio emissions
Computer Vision and Machine Learning techniques
Explainable Machine Learning
Physics-informed networks
Open source tools for CV and ML

Scientific Organising Committee:
Kamen Kozarev (Bulgarian Academy of Sciences)
Manolis Georgoulis (Academy of Athens)
Astrid Veronig (Graz University)
Shane Maloney (Dublin Institute for Advanced Studies)
Long Xu (Chinese Academy of Sciences)
Pietro Zucca (ASTRON, The Netherlands Institute of Radio Astronomy)

Further information about abstract submission, registration and
conference hotel will be provided on the conference website in the
coming weeks: https://mch23.astro.bas.bg