Overview
I work with domain experts across different fields to solve challenging real-world problems through the application or development of advanced signal processing, computer vision, machine learning (especially deep learning) methods to real-world problems. Recently, my work has spanned topics such as remote sensing, energy systems, and materials science. My work has recently been featured in premiere machine learning conferences (e.g., NeurIps, ICLR) and computer vision conferences (e.g., WACV).
Current Appointments & Affiliations
Adjunct Assistant Professor in the Department of Electrical and Computer Engineering
·
2022 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Education, Training & Certifications
Duke University ·
2015
Ph.D.