Author Information
Josah W. Smith, Ph.D.
josiah.radar@gmail.com, GitHub, LinkedIn
PSA: I no longer have access to my university email address (josiah.smith@utdallas.edu or jws160130@utdallas.edu) so please contact me at josiah.radar@gmail.com.
🔭 I am currently working on several research publications in deep learning, computer vision, radar signal processing, and imaging.
📫 How to reach me josiah.radar@gmail.com
📄 Know about my experiences at my LinkedIn
⚡ Fun fact I love music, hiking, camping, and have lived around the world.
I completed my PhD from The University of Texas at Dallas in 2022
PhD Dissertation
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems (arXiv)
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 Convolutional Neural Networks using Novel Sterile Training Technique (arXiv, DOI)
Organization of GitHub Repositories
(Notable repositories are highlighted in italics)
- WISLAB-Specific
BibTeX Citations
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution (arXiv, DOI)
@article{smith2023deep, title = {Deep Learning-Based Multiband Signal Fusion for {3-D} {SAR} Super-Resolution}, author = {Smith, J. W. and Torlak, M.}, year = 2023, month = apr, journal = {IEEE Trans. Aerosp. Electron. Syst.}, pages = {1--17} }
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems (arXiv)
@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} }
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging (arXiv, DOI)
@article{smith2022efficient, title = {Efficient {3-D} Near-Field {MIMO-SAR} Imaging for Irregular Scanning Geometries}, author = {Smith, J. W. and Torlak, M.}, year = 2022, month = jan, journal = {IEEE Access}, volume = 10, pages = {10283--10294} }
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution (arXiv, DOI)
@inproceedings{smith2022vision, title = {A Vision Transformer Approach for Efficient Near-Field {SAR} Super-Resolution under Array Perturbation}, author = {Smith, J. W. and Alimam, Y. and Vedula, G. and Torlak, M.}, year = 2022, month = apr, booktitle = {Proc. IEEE Tex. Symp. Wirel. Microw. Circuits Syst. (WMCS)}, address = {Waco, TX, USA}, pages = {1--6} }
Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries (arXiv, DOI)
@inproceedings{vasileiou2022efficient, title = {Efficient {CNN}-Based Super Resolution Algorithms for {mmWave} Mobile Radar Imaging}, author = {Vasileiou, C. and Smith, J. W. and Thiagarajan, S. and Nigh, M. and Makris, Y. and Torlak, M.}, year = 2022, month = oct, booktitle = {Proc. IEEE Int. Conf. Image Process. (ICIP)}, address = {Bourdeaux, France}, pages = {3803--3807} }
Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique (arXiv, DOI)
@article{smith2021improved, title = {Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks Using Novel Sterile Training Technique}, author = {Smith, J. W. and Thiagarajan, S. and Willis, R. and Makris, Y. and Torlak, M.}, year = 2021, month = jan, journal = {IEEE Access}, volume = 9, pages = {10893--10902} }
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface (arXiv, DOI)
@article{smith2021fcnn, title = {An {FCNN}-Based Super-Resolution {mmWave} Radar Framework for Contactless Musical Instrument Interface}, author = {Smith, J. W. and Furxhi, O. and Torlak, M.}, year = 2021, month = may, journal = {IEEE Trans. Multimedia}, volume = 24, pages = {2315--2328} }
Near-Field MIMO-ISAR Millimeter-Wave Imaging (arXiv, DOI)
@inproceedings{smith2020near, title = {Near-Field {MIMO-ISAR} Millimeter-Wave Imaging}, author = {Smith, J. W. and Yanik, M. E. and Torlak, M.}, year = 2020, month = sep, booktitle = {Proc. IEEE Radar Conf. (RadarConf)}, address = {Florance, Italy}, pages = {1--6} }