Research

Much of my recent work is under the supervision of Dr. Gregery Buzzard from Purdue Mathematics and Dr. Charles Bouman from Purdue ECE. Using the iterative methods in conjunction with novel methods of data fusion, I've developed a flexible framework for super resolution that can be used across image modalities and outperforms state of the art Single Image Super Resolution neural networks. Additionally this framework includes massive speed-ups that allow it to be tractably used in real-life laboratory settings.

This work was done in collaboration with Dr. Lawrence Drummy, Dr. Cheri Hampton, and Dr. Asif Mehmood at the Air Force Research Laboratory.

I have given talks on this research at the 2020 Electronic Imaging Conference and 2020 Society for Industrial and Applied Mathematics Imaging Science Conference. Additionally I've been an invited speaker at the Air Force Research Lab’s biweekly Bio-RT meeting and presented this work at the Autonomous Technology Research Center's summer reviews.

At the Autonomous Technology Research Center, I've received awards for Best Poster in 2019 and Best Individual Graduate Presentation in 2020.