Speaker
Description
This talk provides an overview of the work carried out by the MIDA (Methods for Image and Data Analysis) group at Dipartimento di Matematica, Università di Genova, focusing on the application of artificial intelligence to solar physics and space weather forecasting. Our team combines deep learning techniques with key physical principles to develop models that can predict solar activity and related events. Our research includes the automatic identification and analysis of active regions from solar disk images and magnetograms, the forecasting of solar flare events, the prediction of Coronal Mass Ejection transit times through the integration of remote-sensing coronal images with in-situ solar wind data, and the prediction of geomagnetic storm using solar wind and geomagnetic activity data. With several team members affiliated with the INAF, we see this workshop as an ideal forum to promote collaboration and share new ideas and projects that can advance our mutual efforts not only in space weather research but across various areas of solar and astrophysics and related disciplines.
