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Muhammad Rafiq presents Project & Report on the application of Machine Learning to Predicting Auroral Substorms

By: miker on: Thu., May 23, 2019 04:07 PM EDT (2094 Reads)
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VT SuperDARN student Muhammad Rafiq successfully presented his Project and Report in support of earning a Master of Arts Degree in the Department of Statistics on May 2, 2019. The title of his presentation was 'Deep Learning Application to Predicting Onset of Magnetic Substorms'. The background to this unusual accomplishment is a special degree program at Virginia Tech that enables graduate students to take courses and earn degree credit in Machine Learning (ML) techniques. Muhammad was advised on the Statistics side by Dr. Leanna L. House and has worked most closely with Dr. Bharat Kunduri on applying ML techniques to the analysis of geospace datasets. Muhammad is simultaneously a PhD candidate in the Department of Electrical and Computer Engineering and has several radar-derived papers to his credit.

Congratulations, Muhammad!

(Photo credit: Dilraba Abla)


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