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Evangelia Samara
Catholic University of AmericaMeeting roles in:
SDO-ML Video Foundation Model with Neural Fields and its application to Solar Wind Structure classification
Improving real-time forecasts of the Solar Wind at the Earth, Moon, and Mars
Tracking the Multiscale Solar Wind Evolution with PUNCH Flow Maps for Heliophysics Research and Space Weather Preparedness
Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques.
Comparison of Time-dependent Boundary-driven Heliospheric MHD models
PSP-ML Parker Solar Probe Machine Learning Ready Dataset
Uncovering the solar wind structure with iSAX Pipeline and PSP data
Assessing the performance of Solar Orbiter PHI science data using WSA
Inner Structure of CMEs: Insights from SoloHI observations and CORHEL-CME simulations
Masked Autoencoders and Neural Fields for Solar Wind Structure Classification from SDO Observations
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