About#

Author#

Josiah W. Smith, Ph.D. — josiah.radar@gmail.com · GitHub · LinkedIn

Note

The author no longer has access to the university email addresses josiah.smith@utdallas.edu / jws160130@utdallas.edu. Please use josiah.radar@gmail.com.

Currently working on research publications in deep learning, computer vision, radar signal processing, and imaging. Completed PhD at The University of Texas at Dallas in 2022.

PhD dissertation#

Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems — arXiv:2306.15341

Selected papers#

Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution — arXiv · DOI
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging — arXiv · DOI
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution — arXiv · DOI
Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries — arXiv · DOI
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface — arXiv · DOI
Improved Static Hand Gesture Classification on Deep CNNs using Novel Sterile Training Technique — arXiv · DOI
Near-Field MIMO-ISAR Millimeter-Wave Imaging — arXiv · DOI

Citing this package#

If complextorch helps your research, please cite the dissertation:

@phdthesis{smith2022novel,
    title  = {Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems},
    author = {Smith, J. W.},
    year   = 2022,
    month  = apr,
    address= {Richardson, Texas, USA},
    note   = {Available at \url{https://arxiv.org/abs/2306.15341}},
    school = {Dept. Elect. Comput. Eng., Univ. Texas Dallas},
    type   = {PhD dissertation}
}