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Shibaji Chakraborty Presents Project & Report on the Application of Machine Learning Techniques to Characterization of SuperDARN backscatter

By: miker on: Tue., Dec. 01, 2020 04:18 PM EST (175 Reads)
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VT SuperDARN student Shibaji Chakraborty successfully presented his Project and Report in support of earning a Master of Arts Degree from Virginia Tech's Department of Statistics on December 1, 2020. The title of his presentation was 'Characterization of SuperDARN Backscatter Echoes using Machine Learning Techniques'. The background to this unusual accomplishment is a special degree program that enables graduate students to take courses and earn degree credit in Data Analysis and Applied Statistics (M.A. DAAS degree). Shibaji was advised on the Statistics side by Dr. Srijan Sengupta. Shibaji is simultaneously a PhD candidate in the Department of Electrical and Computer Engineering supervised by Drs. Jo Baker and Mike Ruohoniemi and has several radar-related papers to his credit. (Photo credit: Uddipan Mukherjee)
Congratulations, Shibaji!


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