About Me:

I am a graduate student in the mathematics PhD program at Texas A&M University.

I study image science and inverse problems with foci on Compton imaging, applications of deep learning with Compton imaging for nuclear source detection, and LIDAR imaging.

I completed my BS degrees in Mathematics and Electrical Engineering at the State University of New York at New Paltz in 2016

Curriculum Vitae

Publications:

W. Baines "The Range Description of a Conical Radon Transform" 2021 Submitted

C. Marchant, W. Baines "3D Kernel Regression for Coincidence Processing in Geiger-Mode Lidar" 2021 In Preparation

W. Baines, P. Kuchment, J. Ragusa "Deep learning for 2D passive source detection in presence of complex cargo" 2020 Inverse Problems doi: 10.1088

W. Baines, R. Dahle "Enhanced bandwidth microstrip patch antennas through 3-D printing" 2016 IEEE International Symposium on Antennas and Propogation (APSURSI), Fajardo, Puerto Rico 2016, pp. 815-816

Professional Memberships:

AMS

SIAM