# About

## Author

**Josiah W. Smith, Ph.D.** — <josiah.radar@gmail.com> ·
[GitHub](https://github.com/josiahwsmith10) ·
[LinkedIn](https://www.linkedin.com/in/josiahwsmith/)

```{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](https://arxiv.org/abs/2306.15341)

## Selected papers

- Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution —
  [arXiv](https://arxiv.org/abs/2305.02017) ·
  [DOI](https://doi.org/10.1109/TAES.2023.3270111)
- Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar
  Imaging — [arXiv](https://arxiv.org/abs/2305.02092) ·
  [DOI](https://doi.org/10.1109/ICIP46576.2022.9897190)
- A Vision Transformer Approach for Efficient Near-Field Irregular SAR
  Super-Resolution — [arXiv](https://arxiv.org/abs/2305.02074) ·
  [DOI](https://doi.org/10.1109/WMCS55582.2022.9866326)
- Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries
  — [arXiv](https://arxiv.org/abs/2305.02064) ·
  [DOI](https://doi.org/10.1109/ACCESS.2022.3145370)
- An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical
  Instrument Interface — [arXiv](https://arxiv.org/abs/2305.01995) ·
  [DOI](https://doi.org/10.1109/TMM.2021.3079695)
- Improved Static Hand Gesture Classification on Deep CNNs using Novel Sterile
  Training Technique — [arXiv](https://arxiv.org/abs/2305.02039) ·
  [DOI](https://doi.org/10.1109/ACCESS.2021.3051454)
- Near-Field MIMO-ISAR Millimeter-Wave Imaging —
  [arXiv](https://arxiv.org/abs/2305.02030) ·
  [DOI](https://doi.org/10.1109/RadarConf2043947.2020.9266412)

## Citing this package

If `complextorch` helps your research, please cite the dissertation:

```bibtex
@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}
}
```

## Related GitHub repositories

Notable repositories are highlighted in *italics*.

**Simulating radar and SAR data**
- (V1) [SAR Simulation](https://github.com/josiahwsmith10/sar-simulation-jws)
- (V2) [FMCW MIMO-SAR Simulation and Image Reconstruction Toolbox](https://github.com/josiahwsmith10/FMCW-MIMO-SAR-Simulation-and-Image-Reconstruction-Toolbox)
- *(V3) [THz and Sub-THz Imaging Toolbox](https://github.com/josiahwsmith10/THz-and-Sub-THz-Imaging-Toolbox)*

**Data-driven radar image enhancement**
- (V1) [SAR CNN Enhancement](https://github.com/josiahwsmith10/sar-cnn-enhancement)
- (V2) [Improved SAR CNN Enhancement](https://github.com/josiahwsmith10/improved-sar-cnn-enhancement)
- (V2.1) [Improved SAR CNN Enhancement-v2](https://github.com/josiahwsmith10/improved-sar-cnn-enhancement-v2)

**MATLAB user interfaces for SAR scanners**
- *[Dual Radar GUI](https://github.com/josiahwsmith10/dual-radar-gui)*
- [RSAR GUI](https://github.com/josiahwsmith10/RSAR-GUI)
- [MATLAB SAR Scanner API](https://github.com/josiahwsmith10/SAR-Scanner-Toolbox)
- [TI mmWave Studio MATLAB GUI](https://github.com/josiahwsmith10/mmWave-Studio-MATLAB-GUI-jws)

**Embedded synchronization software**
- (V1) [TI Radar HW Trigger using ESP32](https://github.com/josiahwsmith10/single-TI-radar-HW-trigger-esp32)
- *(V2) [Dual Radar Synchronizer](https://github.com/josiahwsmith10/dual-radar-synchronizer)*

**Documentation & tutorials**
- [Introduction to Near-Field SAR in MATLAB](https://github.com/josiahwsmith10/SAR-Intro)
- *[Introduction to MIMO-FMCW Radar](https://github.com/josiahwsmith10/Introduction-to-MIMO-FMCW-Radar)*

**Other projects**
- [FCNN Audio Denoising](https://github.com/josiahwsmith10/FCNN-audio-denoising)
- [Deep Learning-Enhanced BLE Ranging](https://github.com/josiahwsmith10/deep-learning-BLE-ranging)
- [SVM-MUSIC Algorithm for DoA Estimation](https://github.com/josiahwsmith10/svm-music-algorithm)
- [FIR and IIR Filtering for Audio Denoising](https://github.com/josiahwsmith10/FIR-and-IIR-Filtering-for-Audio-Denoising)
- [Nyquist Sampling and Sunspots](https://github.com/josiahwsmith10/sampling-and-sunspots)

**Code accompanying papers**
- *[Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries](https://github.com/josiahwsmith10/Efficient-3-D-Near-Field-MIMO-SAR-Imaging-for-Irregular-Scanning-Geometries)*
- *[FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface](https://github.com/josiahwsmith10/Radar-Musical-Instrument)*