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NSF-Sponsored Data Science Research

December 2021: Dr. von Lockette was awarded one of NSF's data science supplements to research how data science techniques can augment his work researching the science of a universal 3D printer.

The proposed supplement would be used to work with a data science research associate as well as hire a graduate student in the field of data science to investigate how an array of data science techniques may be used to improve or replace the current optimization. The data science methods proposed begin with employing Principal Component Analysis, Linear Local Embedding, and t-Stochastic Nearest Neighbor to attempt to reduce the dimensionality of the problem.

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