Prof. Brandon Panos
Institution
University of Applied Sciences and Arts Northwestern Switzerland (FHNW)
Date joined board
Journal
RASTI
Biography
Brandon Panos is a Professor at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). His research focuses on large-scale data-driven studies in solar physics, with an emphasis on applying modern machine learning techniques to understand and predict solar flares. He has extensive expertise in machine learning methodologies, including dimensionality reduction, clustering, classification, explainable AI, self-supervised learning, generative modeling, and reinforcement learning. Brandon holds a Master's degree in Theoretical Condensed Matter Physics from the University of the Witwatersrand (South Africa) and a PhD in Computer Science and Astrophysics from the University of Geneva. At FHNW, he lectures on Explainable AI and Advanced Deep Learning. His research interests also include space weather and physics-informed machine learning for accelerating simulations. During his PhD, he specialized in spectral analysis using data from the Interface Region Imaging Spectrograph (IRIS) satellite. He has led coordinated solar flare observation campaigns involving the Swedish Solar Telescope (SST), Hinode, and IRIS and is currently interested in advancing solar research through the Square Kilometre Array (SKA).