Projects
Systems and professional builds
These are applied systems and professional deliveries. They are separate from journal papers. The intrusion detection system is project work only and is not listed as a publication on the CV.
Prediction system for noisy brain medical image classification
Designed and implemented a deep learning model from scratch to classify noisy brain medical images. The work explored custom CNN architectures and Vision Transformer variants for feature extraction and classification, with pipelines for noise handling, feature learning, and explainability using attention maps.
Project workWeb-based brain cancer detection and classification system
Built a web platform for brain tumour detection and classification in collaboration with local cancer hospitals. Custom CNN and transformer-inspired models support medical image segmentation and tumour classification. The interface is designed for healthcare professionals, with visualization for transparent decision support and a deployment path using Flask or FastAPI and Docker.
Project workIntrusion detection system
Developed a deep learning intrusion detection system trained from scratch to identify and categorize network intrusions. Architectures compared include MLP, CNN, and transformer-based sequence models, optimized for imbalanced traffic data, with preprocessing, statistical feature engineering, and visualization. This is project work and is not listed as a journal publication on the CV.
DeployedUniversity of Gujrat learning management system
Led the LMS development project for the University of Gujrat from design through deployment, supervising developers, designers, and testers, and coordinating with academic departments. Training was delivered for faculty and administrative staff.