Dr. Shagun Sharma
VIT Bhopal University, Sehore, Bhopal, Madhya Pradesh, India, Chitkara University Institute of Engineering and Technology, Shoolini University
0000-0002-3616-7940
About
Dr. Shagun Sharma is currently working at Bennett University, Greater Noida, UP, India. She is a dedicated researcher and academician in the field of Computer Science, with a specialization in Federated Deep Learning and Privacy-Preserving Artificial Intelligence. She holds a Ph.D. in Computer Science and Engineering, with her doctoral research focusing on developing secure and efficient federated learning models for medical image analysis, particularly for pneumonia detection using heterogeneous and privacy-sensitive data sources.
Her expertise spans deep learning, medical image processing, model optimization, and distributed learning frameworks. She has worked extensively with architectures such as SqueezeNet, Xception, VGG, MobileNetV2, and UNet, and has contributed to the development of hybrid and lightweight models for disease classification and localization.
Dr. Sharma has authored multiple peer-reviewed articles in high-impact SCI journals and is actively engaged in writing systematic literature reviews and developing tools for federated learning in healthcare. She is also passionate about teaching and mentoring, having guided undergraduate and postgraduate students in research projects.
Employment
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VIT Bhopal University, Sehore, Bhopal, Madhya Pradesh, India Assistant Professor Grade I2025 - Present
Education
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Chitkara University Institute of Engineering and Technology PhD2021 - 2025
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Chitkara University Institute of Engineering and Technology M.Tech2019 - 2021
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Shoolini University B.Tech2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (137)
- An Integrated PneumoNet Model for the Early Detection of Pneumonic Lungs in Chest X-ray Radiographs using Pre-trained Xception, VGG16, and VGG19 Save
- A Novel Optimization of the ResU-Net Model for High Precision Multi-Organ Segmentation Save
- Label-free Classification of MCF7 and HeLa Cells using High-content Imaging and Deep Learning Save
- A Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based Decomposition Save
- Carbon Emission Per Unit Electricity Generated by Thermal Plants Save
- FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets Save
- A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos Save
- A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos Save
- A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos Save
- An Empirical Performance Analysis of Modified Convolutional Neural Networks Model for Edible Plant Leaf Disease Detection Save