Muhammad Uzair

Muhammad Uzair

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Dr. Muhammad Uzair received an M.S. degree (Computer Engineering) from Hanyang University, South Korea, and a Ph.D. degree (Computer Engineering) from the University of Western Australia. He has been working for a number of years as an academic and researcher at different universities, and as a software engineer in the industry. His areas of expertise include machine learning, computer vision, data analytics, computer programming, and software engineering.

  • Journals

    Year Citation
    2022 Anwar, A., Kanwal, S., Tahir, M., Saqib, M., Uzair, M., Rahmani, M., & Ullah, H. (2022). Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning Models. IEEE Access.
    2022 Melville-Smith, A., Finn, A., Uzair, M., & Brinkworth, R. S. A. (2022). Exploration of motion inhibition for the suppression of false positives in biologically inspired small target detection algorithms from a moving platform. Biological Cybernetics, 116, 661-685.
    2021 Uzair, M., SA Brinkworth, R., & Finn, A. (2021). A bio-inspired spatiotemporal contrast operator for small and low-heat-signature target detection in infrared imagery. Neural Computing and Applications, 33, 7311-7324.
    2021 Uzair, M., Brinkworth, R., & Finn, A. (2021). Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision. Sensors, 21, 1812.
    2020 Uzair, M., Brinkworth, R. S. A., & Finn, A. (2020). Bio-inspired video enhancement for small moving target detection. IEEE Transactions on Image Processing, 30, 1232-1244.
    2019 Ullah, H., Uzair, M., Mahmood, A., Ullah, M., Khan, S. D., & Cheikh, F. A. (2019). Internal emotion classification using EEG signal with sparse discriminative ensemble. IEEE Access, 7, 40144-40153.
    2019 Ullah, H., Ullah, M., & Uzair, M. (2019). A hybrid social influence model for pedestrian motion segmentation. Neural Computing and Applications, 31, 7317-7333.
    2019 Qureshi, R., Uzair, M., Khurshid, K., & Yan, H. (2019). Hyperspectral document image processing: Applications, challenges and future prospects. Pattern Recognition, 90, 12-22.
    2019 Altaf, M., Uzair, M., Naeem, M., Ahmad, A., Badshah, S., Shah, J., & Anjum, A. (2019). Automatic and Efficient Fault Detection in Rotating Machinery using Sound Signals. Acoustics Australia, 1-15.
    2018 Mahmmod, A., Uzair, M., & Al-ma’adeed, S. (2018). Multi-order Statistical Descriptors for Real-time Face Recognition and Object Classification. IEEE Access, 1.
    2018 Qamar, A., Umair, M., Uzair, M., & Kaleem, Z. (2018). Derivative Method Based Orientation Detection of Substation Grounding Grid. Energies, 11.
    2018 Uzair, M., Shafait, F., Ghanem, B., & Mian, A. (2018). Representation learning with deep extreme learning machines for efficient image set classification. Neural Computing and Applications, 30, 1211-1223.
    2018 Ullah, H., Altamimi, A. B., Uzair, M., & Ullah, M. (2018). Anomalous entities detection and localization in pedestrian flows. Neurocomputing, 290, 74-86.
    2017 Ahmad, F., Khan, A., Islam, I. U., Uzair, M., & Ullah, H. (2017). Illumination normalization using independent component analysis and filtering. The Imaging Science Journal, 65, 308-313.
    2017 Ullah, H., Uzair, M., Ullah, M., Khan, A., Ahmad, A., & Khan, W. (2017). Density independent hydrodynamics model for crowd coherency detection. Neurocomputing, 242, 28-39.
    DOI Scopus28
    2016 Uzair, M., & Mian, A. (2016). Blind domain adaptation with augmented extreme learning machine features. IEEE transactions on cybernetics, 47, 651-660.
    2015 Uzair, M., Mahmood, A., & Mian, A. (2015). Hyperspectral face recognition with spatiospectral information fusion and PLS regression. IEEE Transactions on Image Processing, 24, 1127-1137.
    2015 Uzair, M., Mahmood, A., Mian, A., & McDonald, C. (2015). Periocular region-based person identification in the visible, infrared and hyperspectral imagery. Neurocomputing, 149, 854-867.
    2015 Uzair, M., Mahmood, A., Shafait, F., Nansen, C., & Mian, A. (2015). Is spectral reflectance of the face a reliable biometric?. Optics Express, 23, 15160-15173.
    2008 Lee, G. -G., Uzair, M., Yoon, J. -Y., Kim, J. -J., & Kim, W. -Y. (2008). Comparisons of Color Spaces for Shadow Elimination. Journal of Korea Multimedia Society, 11, 610-622.
  • Book Chapters

    Year Citation
    2017 Uzair, M., Mahmood, A., & Ali Al-Maadeed, S. (2017). Non-cooperative and Occluded Person Identification Using Periocular Region with Visible, Infra-Red, and Hyperspectral Imaging. In Biometric Security and Privacy: Opportunities and Challenges in The Big Data Era (pp. 223-251). Springer International Publishing.
  • Conference Papers

    Year Citation
    2021 Riaz, H., Uzair, M., Ullah, H., & Ullah, M. (2021). Anomalous human action detection using a cascade of deep learning models. In 2021 9th European Workshop on Visual Information Processing (EUVIP) (pp. 1-5). IEEE.
    2019 Khan, S. D., Ullah, H., Uzair, M., Ullah, M., Ullah, R., & Cheikh, F. A. (2019). Disam: Density independent and scale aware model for crowd counting and localization. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 4474-4478). IEEE.
    2019 Kanwal, S., Uzair, M., Ullah, H., Khan, S. D., Ullah, M., & Cheikh, F. A. (2019). An image based prediction model for sleep stage identification. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 1366-1370). IEEE.
    2019 Uzair, M., Brinkworth, R., & Finn, A. (2019). Insect-inspired Small Moving Target Enhancement in Infrared Videos. In International Conference on Digital Image Computing: Techniques and Applications (DICTA).
    2019 Ullah, H., Khan, S., Ullah, M., Cheikh, F. A., & Uzair, M. (2019). Two stream model for crowd video classification. In 2019 8th European Workshop on Visual Information Processing (EUVIP) (pp. 93-98).
    2017 Quraishi, R., Uzair, M., & Khurshid, K. (2017). Multistage Adaptive Filter for ECG Signal Processing. In Communication, Computing and Digital Systems (C-CODE), International Conference on (pp. 363-368). IEEE.
    2015 Uzair, M., Mahmood, A., & Mian, A. (2015). Sparse kernel learning for image set classification. In Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II 12 (pp. 617-631). Springer International Publishing.
    2014 Uzair, M., & Mian, A. (2014). Regularized least-squares coding with unlabeled dictionary for image-set based face recognition. In 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-7). IEEE.
    2013 Uzair, M., Mahmood, A., Mian, A., & McDonald, C. (2013). A compact discriminative representation for efficient image-set classification with application to biometric recognition. In 2013 International conference on biometrics (ICB) (pp. 1-8). IEEE.
    2013 Uzair, M., Mahmood, A., Mian, A., & McDonald, C. (2013). Periocular biometric recognition using image sets. In 2013 IEEE Workshop on Applications of Computer Vision (WACV) (pp. 246-251). IEEE.
    2013 Uzair, M., Mahmood, A., & Mian, A. S. (2013). Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares.. In BMVC Vol. 1 (pp. 10).
    2009 Uzair, M., Khan, W., Ullah, H., & Rehman, F. -U. (2009). Background modeling using corner features: An effective approach. In 2009 IEEE 13th International Multitopic Conference (pp. 1-5). IEEE.


  • Concepts in Artificial Intelligence and Machine Learning (PG) (2023 Trimester 1)
  • Algorithm and Data Structure Analysis (UG) (2023 Semester 1)

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