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Gayathri Ramasamy

Assistant Professor (OC), Department of Computer Science and Engineering, School of Engineering, Bangalore

Qualification: M.Tech., Ph.D
r_gayathri@blr.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Computer Vision, Biomedical Image Processing, Deep Learning

Bio Publications
Bio

Gayathri Ramasamy received the Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from Anna University, Chennai, India, in 2010, and the Master of Technology (M.Tech.) degree in Computer Science and Engineering from Visvesvaraya Technological University, Karnataka, India, in 2020. She obtained the Doctor of Philosophy (Ph.D.) degree in Computer Science from Amrita Vishwa Vidyapeetham, Coimbatore, India, in December 2025. 

She has more than six years of industry experience as a Senior Software Engineer in the information technology sector, where she worked on software development and system design projects across diverse application domains. Motivated by a strong interest in advanced computing technologies and research, her postgraduate studies further strengthened her inclination toward innovation in computing. 

Her research primarily focuses on medical image processing, with a particular emphasis on the integration of artificial intelligence, deep learning, and explainable AI to improve diagnostic accuracy and support clinical decision-making in healthcare. She is actively involved in interdisciplinary research collaborations and contributes to the academic community through scholarly publications and knowledge dissemination. Her long-term goal is to bridge the gap between computational advancements and real-world medical applications, driving impactful innovations in medical imaging and healthcare technologies. 

Qualification

  • M.Tech.
  • Ph.D.(Pursuing)
Publications

Journal Article

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

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.

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