MS Computer Science | Computer Vision | Deep Learning | Medical Image Analysis
I am an MS Computer Science researcher with experience in Computer Vision, Deep Learning, and Medical Image Analysis. My work focuses on skin lesion segmentation in dermoscopic images. I am interested in building practical AI solutions for healthcare and am seeking PhD research opportunities in Artificial Intelligence.
- Computer Vision
- Medical Image Analysis and Image Segmentation
- Deep Learning and Convolutional Neural Networks
- Attention Mechanisms
- AI for Healthcare
Master's Thesis: EAR-Net: An Efficient Attention-Residual Network for Skin Lesion Segmentation
My research focuses on deep learning-based segmentation of skin lesions in dermoscopic images. A related manuscript is currently under peer review.
| Project | Description | Tech |
|---|---|---|
| leaf-disease-detection | 15-class plant leaf disease classifier with 94.9% test accuracy and a Gradio demo | Python, TensorFlow, MobileNetV2 |
| student-thesis-management | Web app for thesis submission and tracking with Student and Admin dashboards, role-based access, document upload, search, and pagination | Python, Django, Bootstrap |
| bank-management-system-cpp | Console banking application with PIN login, loans, and admin panel | C++, OOP, File Handling |
Languages: Python, C++, MATLAB AI / ML: Machine Learning, Deep Learning, Computer Vision, Medical Image Analysis, Image Processing Frameworks: PyTorch, TensorFlow, Keras, OpenCV Web: Django, HTML, CSS, JavaScript, Bootstrap Tools: Git, GitHub, Jupyter
- MS Computer Science (Computer Vision and Machine Learning), Abasyn University, Islamabad
- BS Computer Science, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi
PhD research in Computer Vision and AI for Medical Imaging