Doctoral research
Unified Image Quality Assessment for Cross-Content Applications
PhD research at Sunway University on perceptual image quality assessment, including permutation-entropy-based features and cross-content quality modelling.
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Projects
Selected Projects
Selected research and applied projects from my academic and professional experience.
Funded engineering research
Passive SONAR Signal Detection & Classification
MS research on underwater acoustic signal detection and classification, supported through a Pakistan Navy-funded research project.
Principal investigator
Non-invasive Disease Diagnosis Using Digital Infrared Thermal Imaging
Principal Investigator for a project on non-invasive disease diagnosis using digital infrared thermal imaging, funded by ICT R&D, Ministry of Information and Technology, Government of Pakistan.
Applied computer vision
Deep Learning Vision Workflows
Industry work involving ResNet and YOLO-based models, object detection, segmentation, classification, hyperparameter optimisation, synthetic augmentation, preprocessing automation and MLOps/data-engineering workflows.
Image understanding
Content and Distortion Type Classification
Deep residual network classifier using a modified ResNet-18 with transfer learning and class weighting for natural-scene and screen-content image categories drawn from benchmark IQA databases.
Image processing research
Image Noise Variance Estimation
ResNet-50-based regression framework for estimating additive white Gaussian noise variance, using augmentation, dropout and a self-generated image dataset.
Speech and signal processing
Speech Recognition and Classification
Speech feature pipeline using PLP, BFCC, MFCC and GFCC representations with CNN and multilayer feed-forward neural-network classifiers on a custom speaker dataset.
Biometric systems
Artificially Intelligent Iris Recognition
Iris-recognition work using iris-pupil boundary extraction, filtering and morphological operations, with neural-network classifiers evaluated on the CASIA iris database.