Dr. S Berlin Shaheema
SRM Easwari Engineering College, Stella Mary's College of Engineering, National Institute of Technology Silchar, Annai Vailankanni College of Engineering
0000-0003-0165-0331
About
Dr. S. Berlin Shaheema received her B.E., M.Tech., and Ph.D. degrees in Computer Science and Engineering from Anna University, Manonmaniam Sundaranar University, and National Institute of Technology Silchar, India, in 2006, 2009, and 2025, respectively. She is a Senior member of IEEE and member of various professional societies . She is currently working as an Assistant Professor in the Department of Information Technology at Easwari Engineering College, Chennai.
She has over 16 years of academic experience in engineering institutions affiliated with Anna University and has been actively involved in teaching, research, student mentoring, and academic coordination. Her research interests include Data Science, Image Processing, Computer Vision, Deep Learning, Medical Image Analysis, and Explainable Artificial Intelligence (XAI). Her research contributions focus on developing intelligent, accurate, and interpretable deep learning models for healthcare applications, particularly in brain tumor segmentation and diagnosis using multi-modal MRI data.
Dr. Shaheema has published extensively in SCI and Scopus-indexed journals and conferences, authored multiple international textbooks, and holds patents in emerging technology domains. She serves as a reviewer for reputed international journals and IEEE conferences. Her work continues to contribute significantly to advancing trustworthy and explainable AI-driven solutions for real-world problems.
Employment
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SRM Easwari Engineering College Assistant Professor2025 - Present
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Stella Mary's College of Engineering2023 - 2025
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Annai Vailankanni College of Engineering Associate Professor2019 - 2023
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Jayamatha Engineering College Assistant Professor2009 - 2014
Education
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National Institute of Technology Silchar PhD (2021 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- A Federated Learning Based Automatic Brain Tumor Segmentation and Feature Extraction in MRI Images Save
- Accurate Leaf-Based Identification of Plant Diseases and Classification Using Shape Attentive U-Net Save
- Explainable AI for Diabetic Retinopathy Screening: Enhancing Clinician Trust in Deep Learning Predictions Save
- IoT based Smart Waste Bins for Waste Collection, Waste segregation And disposal Save
- Lung Cancer Diagnosis: Visualizing Deep Learning Decision Pathways Using Yolov8 Save
- A Hybrid Dense-Gated U-Net with an Enhanced Crow Search (ECS)-Based Cyber-Attack Detection and Classification in a Smart Grid Save
- An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis Save
- Multimodal brain image segmentation: a recent review, challenges and future perspectives Save
- An explainable deep learning-based panoptic segmentation for brain tumor diagnosis Save
- Res2-UNeXt Combined with Federated Learning for Cyber-Attack Detection and Classification in Multi Area Smart Grid Power System Save