Postdoc Researcher
Department: School of Computer Science and Engineering, Korea University of Technology and Education
Address : 415, Engineering building-2, 1600, Chungjeol-ro, Byeongcheon-myeon, Dongnam-gu, Cheonan-si, Chungcheongnam-do, 31253, South Korea
Email: usmanali (at) koreatech (dot) ac (dot) kr
Usman Ali received the BSc degree in Electrical Engineering from the University of Engineering and Technology (UET), Pakistan in 2009, the MSc degree in Electrical Engineering from the University of Management and Technology (UMT), Pakistan in 2013, and the PhD degree in Computer Engineering from the Korea University of Technology and Education (Koreatech), Korea in 2020. Currently, he is postdoctoral researcher at School of Computer Science and Engineering, Koreatech. His research interests include computer vision, pattern recognition, optimization, machine learning and deep learning.
2017-2020 PhD, Computer Engineering, Korea University of Technology and Education, Korea
2009-2013 MS, Electrical Engineering, University of Management and Technology, Pakistan
2005-2009 BS, Electrical Engineering, University of Engineering and Technology, Pakistan
2020~ Postdoc Researcher, Korea University of Technology and Education, Korea
2017-2020 Research Assistant, Korea University of Technology and Education, Korea
2015-2017 Assistant Professor, University of Management and Technology, Pakistan
2009-2015 Lecturer, University of Management and Technology, Pakistan
3D shape Remonstration (Shape from Focus)
Image Processing and Analysis
Machine Learning, Deep Learning and Pattern Recognition
2021~2024 Principle Investigator
Creative Challenge Research Program (2021A1A01052521), National Research Foundation (NRF) Korea, approx. grant = 180,000 USD for 3 years
Usman Ali, I. H. Lee, M. T. Mahmood, “Robust regularization for single image dehazing”, Journal of King Saud University ‑ Computer and Information Sciences
Usman Ali, M. T. Mahmood, “Energy minimization for image focus volume in shape from focus”, Pattern Recognition
Usman Ali, M. T. Mahmood, “Defocus blur segmentation using local binary patterns with adaptive threshold”, CMC‑Computers, Materials & Continua
Usman Ali, M. T. Mahmood, “Improving defocus blur measures using robust regularization”, ICT Express
Usman Ali, M. T. Mahmood, "Robust Focus Volume Regularization in Shape from Focus", IEEE Transactions on Image Processing
Usman Ali, M.T. Mahmood, “Depth Hypotheses Fusion through 3D Weighted Least Squares in Shape from Focus", Microscopy and Microanalysis
Usman Ali, M. T. Mahmood, “Depth enhancement through correlation‐based guided filtering in shape from focus", Microscopy Research and Technique
Usman Ali, I. H. Lee, M. T. Mahmood, “Guided image filtering in shape-from-focus: A comparative analysis", Pattern Recognition
M. T. Mahmood, Usman Ali, Y. K. Choi, “Single image defocus blur segmentation using local ternary pattern”, ICT Express
Usman Ali, M. T. Mahmood, “3D Shape Recovery by Aggregating 3D Wavelet Transform-Based Image Focus Volumes Through 3D Weighted Least Squares." Journal of Mathematical Imaging and Vision
Usman Ali, Vitalii Pruks, M. T. Mahmood, “Image focus volume regularization for shape from focus through 3D weighted least squares", Information Sciences
M. T. Mahmood, Usman Ali, Y. K. Choi, “Enhancing focus measurements in shape from focus through 3D weighted least squares”, Journal of the Semiconductor & Display Technology
Usman Ali, M. T. Mahmood, “Analysis of Blur Measure Operators for Single Image Blur Segmentation", Applied Sciences
