
Bio
I am a staff mathematician in the Data Analysis and Machine Learning Group.
I received my Ph.D. in Computational Science from Middle Tennessee State University (MTSU) under the supervision of professors Yuri Melnikov and Abdul Khaliq. My work at MTSU was in the field of computational partial differential equations and numerical integration of stiff stochastic systems. After graduating from MTSU in 2017 I started a postdoctoral position in the CAM group at ORNL where I worked with Clayton Webster on several projects in compressed sensing, image processing and machine learning.
My current research at ORNL is primarily focused on the design and analysis of new robust machine learning and image processing algorithms.
Publications
September 2024
Conference Paper
July 2024
Conference Paper
December 2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring
Journal: SoftwareX
October 2023
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case…
Conference Paper
September 2023
A Review of Sensing Technologies for New, Low Global Warming Potential (GWP), Flammable Refrigerants
Journal: Energies