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Connor O'Brien
Boston UniversityMeeting roles in:
SDO-ML Video Foundation Model with Neural Fields and its application to Solar Wind Structure classification
Ensemble Modeling to Quantify Input Uncertainty Estimation in MAGE
Understanding the relationships of PSP Solar Wind Parameters with Distributed Computation using Dask and Deep Learning techniques.
PSP-ML Parker Solar Probe Machine Learning Ready Dataset
Uncovering the solar wind structure with iSAX Pipeline and PSP data
Solar Wind Structure Decipher Clustering Using iSAX-pipeline Composed of iSAX Compression, and HDBSCAN
Characterizing Earth's Plasma Sheet through Multi-Spacecraft Observations and Machine Learning
Masked Autoencoders and Neural Fields for Solar Wind Structure Classification from SDO Observations
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