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)

  • Near-Field MIMO-ISAR Millimeter-Wave Imaging (arXiv, DOI)

Organization of GitHub Repositories

(Notable repositories are highlighted in italics)

  • Simulating Radar and SAR Data
    • (V1) SAR Simulation (code)

    • (V2) FMCW MIMO-SAR Simulation and Image Reconstruction Toolbox (code)

    • (V3) THz and Sub-THz Imaging Toolbox (code)

  • Data-Driven Radar Image Enhancement (Computer Vision for Radar)
    • (V1) SAR CNN Enhancement (code)

    • (V2) Improved SAR CNN Enhancement (code)

    • (V2.1) Improved SAR CNN Enhancement-v2 (code)

  • MATLAB User Interfaces for Controlling SAR Scanners
    • Dual Radar (Also Applicable for Single Radar)
      • Dual Radar GUI (code)

    • SAR User Interface
      • RSAR GUI (code)

      • MATLAB SAR Scanner API (code)

    • Texas Instruments mmWave Studio
      • TI mmWave Studio MATLAB GUI (code)

  • Embedded Synchronization Software for SAR Scanner Controllers
    • (V1) TI Radar HW Trigger using ESP32 (code)

    • (V2) Dual Radar Synchronizer (code)

  • Documentation and Introduction to Radar and SAR Principles
    • Introduction to Near-Field SAR in MATLAB (code)

    • Introduction to MIMO-FMCW Radar (doc)

  • Projects
    • FCNN Audio Denoising (code)

    • Deep Learning-Enhanced BLE Ranging (code)

    • SVM-MUSIC Algorithm for DoA Estimation (code)

    • FIR and IIR Filtering for Audio Denoising (code)

    • Nyquist Sampling and Sunspots (code)

  • WISLAB-Specific
  • Code for Papers
    • Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries (arXiv, DOI, code)

    • An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface (arXiv, DOI, code)

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}
    }