Arjun Paramarthalingam
University College of Engineering Villupuram, Sri Sivasubramaniya Nadar College of Engineering, National Engineering College Kovilpatti, Noorul Islam College of Engineering Kumaracoil
About
Arjun Paramarthalingam is a researcher and academician in Computer Science and Engineering with expertise in Artificial Intelligence, Computer Vision, and Internet of Things (IoT). His work focuses on developing intelligent, data-driven solutions for real-world challenges, with particular emphasis on precision agriculture and sustainable systems.
His research interests extend to Generative AI, edge AI deployment, and interdisciplinary applications in agriculture and healthcare. He is keen to collaborate with academic institutions, industry partners, and funding agencies on innovative, impact-driven projects that bridge technology and societal needs.
Employment
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University College of Engineering Villupuram Assistant Professor(Sl. Gr.)2008 - Present
Education
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Sri Sivasubramaniya Nadar College of Engineering Ph.D2011 - 2017
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National Engineering College Kovilpatti M.E2005 - 2007
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Noorul Islam College of Engineering Kumaracoil B.Tech2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Diabetic retinopathy lesions segmentation using Dual Swin U-Net transformer with transpose decoder and explainable AI Save
- Optimized U-net model for precise retinal blood vessel segmentation from colour fundus images Save
- A Generative Method for Steganography by Cover Synthesis with Secure System Save
- A Privacy-Preserving Approach to Health Insurance Fraud Detection Using Vertical Federated Learning Save
- AI-Driven Chatbot for Mental Health Analysis Using Transformer Models Save
- Advancements in Image Captioning: A Comprehensive Survey on Techniques, Modalities, and Applications Save
- Opinion Mining in Tamil YouTube Comments Using Machine Learning Approach Save
- Pneumonia Detection from Chest X-Ray Images with Inception-ResNetV2 Save
- Investigation and prediction of itemsets frequency using machine learning techniques Save
- Proactive Detection of Mirai Botnet Threats: Leveraging XGBoost for Enhanced Cybersecurity Save