Project description: This project will take advantage of numerous observations of different solar activities including CMEs, flares and solar cycles, and employing the modern machine learning algorithms, in particular, Support Vector Machine algorithm (SVM) and time-dependent ML algorithm (e.g. unsupervised cGAN), to make fast and accurate predictions of the above solar activities.
More information of the project: Prof. Robert von Fay-Siebenburgen (r.von.fay-siebenburgen (a) sheffield.ac.uk)
Host: University of Sheffield, UK.
Secondment Host: Università degli studi di roma Tor Vergata, Italy.
Industrial Training: Hungarian Solar Physics Foundation, Gyula Bay Zoltán Solar Observatory, Gyula, Hungary (solar observations, 1 month), PTECH (2 months; software development and design).