January 2017 – Present

Graduate Research Assistant

University of Tennessee Knoxville

Conducted research on the mathematical foundations of:

  • Optimization
  • Image Processing
  • Machine Learning
January 2014 – December 2016

Graduate Teaching Assistant

University of Tennessee Knoxville

Responsibilities include:

  • Bi-weekly Lectures
  • Creation of Teaching Materials
  • Grading


Spectral Clustering SNS Target Data

The spallation neutron source (SNS) is a consumable component which wears out due to radiation damage and cavitation erosion. We propose a spectral clustering based method to detect damage in the target.

Image Processing and Optimization

Using weighted convex minimization to solve the image inpainting and de-noising problems.

Recent & Upcoming Talks

We introduce a class of deep neural networks inspired by polynomial approximations for function approximation.

We consider recovering real-world images and signals by identifying their wavelet coefficients using a weighted l1 minimization problem …

We propose using weighted minimization to solve the image inpainting problem.

Recent Posts

Polynomial approximation can inform network design The following is a breif discussion of work found in this preprint which has been …

Towards a mathematical understanding of using neural networks for function approximation. An artificial neural network (ANN) is a …

Recent Publications


  • Ayres Hall 234, University of Tennessee Knoxville, Tennessee, 37996, USA