Usman Ali

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

Biography

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.


Education

  • 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

Professional Experience

  • 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

Research Interests

  • 3D shape Remonstration (Shape from Focus)

  • Image Processing and Analysis

  • Machine Learning, Deep Learning and Pattern Recognition

Project

  • 2021~2024 Principle Investigator

Creative Challenge Research Program (2021A1A01052521), National Research Foundation (NRF) Korea, approx. grant = 180,000 USD for 3 years

International Journals

2022

  • 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

2021

  • 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

2020

  • 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

2019

  • 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

2018

  • Usman Ali, M. T. Mahmood, “Analysis of Blur Measure Operators for Single Image Blur Segmentation", Applied Sciences