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
December 2023
Journal: SoftwareX
October 2023
Conference Paper
September 2023
A Review of Sensing Technologies for New, Low Global Warming Potential (GWP), Flammable Refrigerants
Journal: Energies
April 2023
Journal: Journal of Machine Learning for Modeling and Computing
March 2022
Conference Paper