Anitha T

About

Anitha Thavasimuthu received a Bachelor of Science in Computer Science from Bharathiar University in 2007, followed by a Master of Science and a Master of Philosophy in Bioinformatics from Avinashilingam Institute for Home Science and Higher Education for Women (Deemed to be University) in 2009 and 2011, respectively after that She received a Master of Computer Science and Engineering in 2022 from Saveetha Institute of Medical and Technical Sciences (Deemed to be University), Chennai, and is currently pursuing a Doctor of Philosophy in Computer Science and Engineering at the same institution and currently, she is an Assistant Professor in the Department of Information Technology, Hindustan Institute of Technology and Science (Deemed to be University), Chennai, Tamil Nadu. She has more than nineteen indexed/peer-reviewed publications and one International patent to her credit. Her research interests include Biomedical Image Processing, Bioinformatics, Internet of Things, artificial intelligence, and wireless sensor networks.

Employment

• Hindustan Institute of Technology and Science Assistant Professor
  2024 - Present
• SNS College of Engineering Assistant Professor
  2023 - 2024
• Makeit Technologies (Center for Industrial Research) Research Associate
  2022 - 2023
• Makeit Technologies (Center for Industrial Research) Research Associate
  2017 - 2020
• M.M. Polytechnic College Lecturer
  2012 - 2017

Education

• Saveetha University Doctor of Philosophy in Computer Science and Engineering
  2023 - Present
• Alagappa University MCA
  2023 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (34)

• An MRI-based Alzheimer's Disease Classification Model using VOLO-D5
  Proceedings of the 6th International Conference on Pervasive Computing and Social Networking Icpcsn 2026 2026 DOI: 10.1109/ICPCSN68523.2026.11543906
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• An MRI-based Alzheimer's Disease Classification Model with DiNAT
  Proceedings of 9th International Conference on Inventive Computation Technologies Icict 2026 2026 DOI: 10.1109/ICICT68280.2026.11510774
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• An MRI-based Alzheimer's Disease Classification Model with Swin Transformer
  Proceedings of the 6th International Conference on Pervasive Computing and Social Networking Icpcsn 2026 2026 DOI: 10.1109/ICPCSN68523.2026.11543651
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• Applying the MOAT Deep Learning Model to Identify Alzheimer's Disease from Brain MRI
  Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026 2026 DOI: 10.1109/ICOECA68095.2026.11485586
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• MogaNet Classification Model to Classify Alzheimer's Disease from MRI
  Proceedings of the 6th International Conference on Pervasive Computing and Social Networking Icpcsn 2026 2026 DOI: 10.1109/ICPCSN68523.2026.11543619
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• A Multi-Axis Vision Transformer (MaxViT) for Classifying Alzheimer's via MRI Imaging
  2026 DOI: 10.1109/ICMSCI67830.2026.11469218
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• A Deep Transfer Learning Model for Classifying Alzheimer's Disease Using MRI Images
  Proceedings of 2025 4th International Conference on Computing and Information Technology Iccit 2025 2025 DOI: 10.1109/ICCIT63348.2025.10989476
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• A Performance Graph-Based Design, Implementation, and Evaluation of Metaverse Technology for Health Education
  Graph Theory in Computer Science 2025 DOI: 10.1002/9781394302628.ch20
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• Classification of Alzheimer's Disease using Attention UNet-MobileNet Model
  Proceedings of 2025 4th International Conference on Computing and Information Technology Iccit 2025 2025 DOI: 10.1109/ICCIT63348.2025.10989374
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• Optimized hierarchical CLSTM model for sentiment classification of tweets using boosted killer whale predation strategy
  Scientific Reports 2025 DOI: 10.1038/s41598-025-16927-0
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