Muhammad Uzair

Dr Muhammad Uzair

Lecturer

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


Dr. Muhammad Uzair received his M.S. in Computer Engineering from Hanyang University, South Korea, and his Ph.D. in Computer Engineering from the University of Western Australia. He has worked as an academic and researcher at various universities and as a software engineer in the industry. His expertise includes machine learning, computer vision, bio-inspired vision, data analytics, and software engineering.

  • Journals

    Year Citation
    2024 Zahra, A., Qureshi, R., Sajjad, M., Sadak, F., Nawaz, M., Khan, H. A., & Uzair, M. (2024). Current advances in imaging spectroscopy and its state-of-the-art applications. Expert Systems with Applications, 238(part E), 122172-1-122172-18.
    DOI Scopus1
    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(13), 7311-7324.
    DOI
    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(5), 18 pages.
    DOI
    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.
    DOI
    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.
    DOI
    2019 Ullah, H., Ullah, M., & Uzair, M. (2019). A hybrid social influence model for pedestrian motion segmentation. Neural Computing and Applications, 31, 7317-7333.
    DOI
    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, 47(2), 125-139.
    DOI
    2018 Mahmmod, A., Uzair, M., & Al-ma’adeed, S. (2018). Multi-order Statistical Descriptors for Real-time Face Recognition and Object Classification. IEEE Access, 6, 12993-13004.
    DOI
    2018 Qamar, A., Umair, M., Uzair, M., & Kaleem, Z. (2018). Derivative Method Based Orientation Detection of Substation Grounding Grid. Energies, 11(7), 15 pages.
    DOI
    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(4), 1211-1223.
    DOI
    2018 Ullah, H., Altamimi, A. B., Uzair, M., & Ullah, M. (2018). Anomalous entities detection and localization in pedestrian flows. Neurocomputing, 290, 74-86.
    DOI
    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 Scopus32
    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 R. Jiang, S. Al-maadeed, A. Bouridane, D. Crookes, & A. Beghdadi (Eds.), Biometric Security and Privacy: Opportunities and Challenges in The Big Data Era (pp. 223-251). Switzerland: Springer International Publishing.
    DOI
  • Conference Papers

    Year Citation
    2023 Tyllis, N., Ullah, F., & Uzair, M. (2023). An Exploratory Study of Vulnerabilities in Big Data Systems. In Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023 (pp. 1360-1367). IEEE.
    DOI
    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). New York, NY, USA: IEEE.
    DOI
    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 IEEE International Conference on Image Processing (ICIP) (pp. 1366-1370). Online: 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 2017 International Conference on Communication, Computing and Digital Systems (C-CODE) (pp. 363-368). New York, NY, USA: IEEE.
    DOI
    2016 Khan, S. D., Ullah, H., Uzair, M., Ullah, M., Ullah, R., & Cheikh, F. A. (2016). Disam: Density independent and scale aware model for crowd counting and localization. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 4474-4478). Online: 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.

Teaching 

  • Algorithm and Data Structure Analysis (UG,PG) (2024 Semester 1)
  • Object Oriented Programming (UG) (2024 Semester 1)
  • Algorithm Design and Data Structures (UG,PG) (2024 Semester 1) 
  • Algorithm and Data Structure Analysis (UG,PG) (2023 Semester 2)
  • Object Oriented Programming (UG) (2023 Semester 2)
  • Concepts in Artificial Intelligence and Machine Learning (PG) (2023 Trimester 2)
     
  • Concepts in Artificial Intelligence and Machine Learning (PG) (2023 Trimester 1)
  • Algorithm and Data Structure Analysis (UG,PG) (2023 Semester 1)
  • Position: Lecturer
  • Phone: 83131745
  • Email: muhammad.uzair@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor Level Five
  • Room: 5.42
  • Org Unit: School of Computer and Mathematical Sciences

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