Faculty of Information Technology, Department of Computer Science
Specialization
Python, Web Development, Database Management, SDLC
Qualifications
MS (Computer Science), DHA SUFFA University
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Teaching Experience
Salim Habib University
Lecturer
June 2025 – Present
DHACSS
Faculty Member
Feb 2021 – May 2025
Research Interest
1, Artificial Intelligence
2, Machine Learning
3, Deep learning
Selected Publications
26/04/2025
ECZEMA CLASSIFICATION USING MODIFIED CONVOLUTIONAL NEURAL NETWORK RESNET
Skin disorders are serious health issues that impact people of all ages, and many of them still lack a proven treatment. The diagnosis and classification of skin diseases could be greatly enhanced by recent developments in artificial intelligence (AI), especially through deep learning techniques. Early diagnosis made possible by these methods can improve patient outcomes and survival rates. Deep learning models are more effective and possibly more accurate than traditional machine learning techniques since they require less operator involvement for feature extraction. Common inflammatory skin conditions like eczema are typified by dry, itchy, and irritated skin areas. Although the precise etiology of eczema is still unknown, a mix of environmental and genetic factors are thought to be responsible.