Investigated manifold learning techniques applied to facial image variations across scale, registration, planar rotation, and projective skew. The goals of this research were to gain useful insight into the manifold structure both geometrically and heuristically. Several manifold examples were created using a projection from high-dimensional image space to a 3-dimensional subspace computed using principal components. Developed software using Matlab to generate and analyze the data for this project.

Developed software to analyze the security of a commercially available USB dongle. Implemented unique encryption schemas to improve security and compare the effectiveness of the new implemented schema versus the original. Presented this research at multiple national and local research conferences.

Investigated the algebraic structure of a simplified version of the Data Encryption Standard in an attempt to improve and understand its current security and potential threats.