College of Charleston, August 2020 - May 2022
Charleston, SC
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3 first-author publications (2 IEEE conference papers, 1 thesis ~ listed in projects).
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Received NASA's South Carolina Space Grant Consortium's Graduate Research Fellowship to fund my second year of research.
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Analyzed, cleaned, and transformed multichannel electroencephalogram (EEG) time series data to work with a machine learning data pipeline.
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Researched and analyzed work in the field to find and create the best solutions to the problems I faced as well as gained valuable information and insight on the topics of and pertaining to that research.
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Tested the classification accuracy of segmented multivariate time series patterns through the development of different deep neural network model builds.