0000-0003-0354-6976 About
Dr. Iqra Nissar, a researcher in the field of Artificial Intelligence with a PhD in Computer Engineering from Jamia Millia Islamia, New Delhi. The author’s research interests include machine learning and deep learning algorithms for medical image analysis, computer vision, and explainable AI. The doctoral research explored "multiple imaging modalities for the efficient detection of breast cancer using deep learning techniques." The author completed an M.Tech in Computer Engineering, with dissertation work focused on "voice-based detection of Parkinson’s disease using machine learning approaches." The author has published several research articles in reputed international journals and conferences, with research interests centered on AI-driven healthcare, intelligent diagnostic systems, and multimodal medical data analysis.
Employment
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Jamia Millia Islamia Assistant Professor (Contractual)2026 - Present
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Jamia Millia Islamia Assistant Professor (Contractual)2025 - 2026
Education
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Jamia Millia Islamia PhD2021 - 2025
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Jamia Millia Islamia M. Tech2017 - 2019
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University of Kashmir B. Tech? - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- SwinEff-AttentionNet: a dual hybrid model for breast image segmentation and classification using multiple ultrasound modality Save
- Enhancing medical image report generation using a self-boosting multimodal alignment framework Save
- Mod-ViT: A Vision Transformer-Based Framework for Breast Cancer Detection from Multiple Imaging Modalities Save
- Breast Cancer Molecular Subtype Detection through Mammograms with Machine Learning: A Comprehensive Framework Using Radiomics and Metaheuristic Optimization Save
- LesNet: An Automated Skin Lesion Deep Convolutional Neural Network Classifier through Augmentation and Transfer Learning Save
- Parkinson’s Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection Save
- An Intelligent and Automated Machine Learning-Based Approach for Heart Disease Prediction and Personalized Care Save
- An Intelligent Healthcare System for Automated Diabetes Diagnosis and Prediction using Machine Learning Save
- MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms Save
- Blockchain-Based Vehicle Information Management System Save