Dr Muhammad Uzair

• 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(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.
  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.
  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 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
  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	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 2017 International Conference on Communication, Computing and Digital Systems (C-CODE) (pp. 363-368). New York, NY, USA: IEEE. DOI
  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 

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