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Dr. Gayathri Ramasamy

Assistant Professor, Department of Computer Science and Engineering, School of Computing, Bengaluru

Qualification: B. Tech., M.Tech., Ph.D
r_gayathri@blr.amrita.edu
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Research Interest: Artificial Intelligence in Medical Imaging, Multi-Modal Neuroimaging, Radiogenomics, Precision Oncology, Digital Pathology, Medical Image Synthesis, Explainable AI in Healthcare, Biomedical Signal Processing, Surgical Imaging, and Clinical Decision Support Systems.

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Bio

Dr. Gayathri R holds a Ph.D. in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, Bengaluru, India. Her research specializes in advanced artificial intelligence and deep learning methodologies for multi-modal medical image analysis, with a strong focus on neuroimaging, brain tumor analysis, radiogenomics, and clinically interpretable AI systems.

Her doctoral research focused on the development of robust computational frameworks for multi-modal brain MRI analysis, encompassing medical image registration, volumetric tumor segmentation, imaging biomarker prediction, and physics-informed disease modeling for glioma characterization. Her work integrates deep learning, optimization algorithms, attention mechanisms, explainable AI, and multi-modal data fusion to address clinically relevant challenges in precision neuro-oncology.

Dr. Gayathri’s broader research interests include medical image computing, neuroimaging analytics, radiogenomics, computational oncology, precision medicine, trustworthy artificial intelligence, explainable AI for healthcare, and AI-enabled clinical decision support systems. She has authored multiple research publications in medical imaging and artificial intelligence and continues to contribute to interdisciplinary research aimed at translating advanced AI methodologies into clinically impactful healthcare solutions.

Publications

Journal Article

Year : 2026

MM-3DAttNet: Multi-Modal 3D Attention Network for MGMT Methylation Prediction

Cite this Research Publication : Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik, MM-3DAttNet: Multi-Modal 3D Attention Network for MGMT Methylation Prediction, IEEE Open Journal of the Computer Society, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/ojcs.2026.3654173

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration

Cite this Research Publication : Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik, Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration, IEEE Open Journal of the Computer Society, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/ojcs.2025.3586956

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

HMSA-Net: A Hierarchical Multi-Scale Attention Network for Brain Tumor Segmentation From Multi-Modal MRI

Cite this Research Publication : Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R. Naik, HMSA-Net: A Hierarchical Multi-Scale Attention Network for Brain Tumor Segmentation From Multi-Modal MRI, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3606560

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2020

Multi-Modal Semantic Segmentation Model using Encoder Based Link-Net Architecture for BraTS 2020 Challenge

Cite this Research Publication : “Multi-Modal Semantic Segmentation Model using Encoder Based Link-Net Architecture for BraTS 2020 Challenge ”, Gayathri Ramasamy , Tripty Singh, Xiaohui Yuan, Procedia Computer Science Volume 218, 2023, Pages 732-740

Publisher : Procedia Computer Science

Book Chapter

Year : 2024

A Bash-based approach to simulating multi-process file systems: Design and implementation

Cite this Research Publication : Gayathri Ramasamy, Baba Ameer Shaik, Yaswanth Kancharla, Adapala Rishi Manikanta, A Bash-based approach to simulating multi-process file systems: Design and implementation, Challenges in Information, Communication and Computing Technology, CRC Press, 2024, https://doi.org/10.1201/9781003559092-35

Publisher : CRC Press

Year : 2024

Comparative analysis of multi-class classification deep network for MRI images using ML based augmentation technique

Cite this Research Publication : Baba Ameer Shaik, Mudumala Varnika Narayani, Adapala Rishi Manikanta, Naga Ruthvika Durupudi, Tegulapalle Venkateswara Reddy, Gayathri Ramaswamy, Comparative analysis of multi-class classification deep network for MRI images using ML based augmentation technique, Challenges in Information, Communication and Computing Technology, CRC Press, 2024, https://doi.org/10.1201/9781003559085-78

Publisher : CRC Press

Year : 2024

Web-based real time chat application using MERN stack

Cite this Research Publication : P. Charan Sai, K. Karthik, K. Bhargav Prasad, Venkata Sai Pranav, Gayathri Ramasamy, Web-based real time chat application using MERN stack,
Challenges in Information, Communication and Computing Technology, 2024

Conference Proceedings

Year : 2024

A Cost-Sensitive Learning Approach with Multi-Class Classification and Undersampling Techniques for Pest Identification in the Coconut Leaf Dataset

Cite this Research Publication : Gayathri Ramasamy, M Gurupriya, C S Vasavi, B Karthikeyan, A Cost-Sensitive Learning Approach with Multi-Class Classification and Undersampling Techniques for Pest Identification in the Coconut Leaf Dataset, 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), IEEE, 2024, https://doi.org/10.1109/aiiot58432.2024.10574695

Publisher : IEEE

Year : 2024

A Multi-Class Classification Framework with SMOTE Based Data Augmentation Technique for Alzheimer’s Disease Progression

Cite this Research Publication : Kaivaram Sivarama Krishna, Bommala Deepak Kumar, Morumpalli Deekshith Reddy, CH Saketh, Gayatri Ramasamy, A Multi-Class Classification Framework with SMOTE Based Data Augmentation Technique for Alzheimer's Disease Progression, 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), IEEE, 2024, https://doi.org/10.1109/amathe61652.2024.10582153

Publisher : IEEE

Year : 2023

Combinatorial Bat Optimization for WSN with Hoover Index Clustering

Cite this Research Publication : Gurupriya M, Vasavi C. S, Gayathri Ramasamy, Karthikeyan B, Combinatorial Bat Optimization for WSN with Hoover Index Clustering, 2023 International Conference on Next Generation Electronics (NEleX), IEEE, 2023, https://doi.org/10.1109/nelex59773.2023.10421682

Publisher : IEEE

Conference Paper

Year : 2022

A Framework for the prediction of Diabetes Mellitus using Hyper-Parameter tuned XGBoost Classifier

Cite this Research Publication : Gayathri R, P B Pati & Tripty Singh, "A Framework for the prediction of Diabetes Mellitus using Hyper-Parameter tuned XGBoost Classifier", 13th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Virtual, Oct 2022.

Membership

IEEE Member, Faculty Mentor of IEEE Computer Society

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