• Assistant Professor, Electrical & Computer Engineering
  • ACES Assistant Professor
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Joshua Peeples

Educational Background

  • Ph.D. in Electrical and Computer Engineering, University of Florida, 2022
  • M.S. in Electrical and Computer Engineering, University of Florida, 2019
  • B.S. in Electrical Engineering, University of Alabama at Birmingham, 2017

Research Interests

    • Machine learning
    • Deep learning
    • Texture analysis
    • Pattern recognition
    • Computer vision
    • Image processing

Awards & Honors

  • Accountability, Climate, Equity, and Scholarship (ACES) Faculty Fellow
  • Graduate Research Fellowship, National Science Foundation
  • McKnight Doctoral Fellowship, Florida Education Fund
  • Inductee, Edward Alexandar Bouchet Graduate Honor Society

Selected Publications

  • J. Peeples, W. Xu and A. Zare, "Histogram Layers for Texture Analysis," in IEEE Transactions on Artificial Intelligence, vol. 3, no. 4, pp. 541-552, Aug. 2022, doi: 10.1109/TAI.2021.3135804.
  • J. Peeples, C. McCurley, S. Walker, D. Stewart, and A. Zare, “Learnable Adaptive Cosine Estimator (LACE) for Image Classification," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 3479-3489, doi: 10.1109/WACV51458.2022.00381.
  • J. Peeples, J. Jameson, N. Kotta, J. Grasman, W. Stoppel, and A. Zare, “Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation," in BME Frontiers Special Issue: AI for Advanced Biomedical Applications, vol. 2022, doi: 10.34133/2022/9854084.
  • J. Peeples, M. Cook, D. Suen, A. Zare, and J. Keller, “Comparison of Possibilistic Fuzzy Local Information C-Means and Possibilisitic K-Nearest Neighbors for Synthetic Aperture Sonar Segmentation," in Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, vol. 11012. International Society for Optics and Photonics (SPIE), 2019, p. 110120T. doi: 10.1117/12.2519484.
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