Arunadevi thirumalraj
Also known as: Arunadevi Thirumalraj
Saranathan College of Engineering, K. Ramakrishnan College of Technology, Karunya Institute of Technology and Sciences, Government College of Engineering, Bodinayakanur
0009-0003-5396-6810
About
Mrs. Arunadevi Thirumalraj completed her B.E. in Computer Science and Engineering at the Government College of Engineering, Bodinayakanur. She has over six years of experience as a Research Associate in various industrial and academic research institutions. She earned her M.E. in Computer Science and Engineering from K. Ramakrishnan College of Technology (KRCT), Tiruchirappalli, and is currently pursuing her Ph.D. in Computer Science and Engineering at Karunya Institute of Technology and Sciences (Deemed to be University), Coimbatore. She is actively engaged in innovative teaching and learning practices and has published a significant number of research papers in reputed indexed journals.
Employment
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Saranathan College of Engineering Assistant Professor2025 - Present
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K. Ramakrishnan College of Technology
Education
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Karunya Institute of Technology and Sciences Ph.D2025 - Present
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K. Ramakrishnan College of Technology ME2023 - 2025
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Government College of Engineering, Bodinayakanur B.E.2013 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- A Multi-Layer Analytical Framework for Secure and Energy-Aware IoT:Integrating Resource Allocation with KSGO-Based Optimization Save
- Innovative Strategies for Efficient Traffic Sign Prediction Using Dense-CNNet Classification Save
- Advanced Groundwater Level Forecasting using QSO-based Vision Transformer Model for Sustainable Water Resource Management Save
- Optimization of IoT Communication Using Low-Power Wide-Area Networks Save
- Decentralized IoT Frameworks: Blockchain-Enabled Trust in Smart Ecosystems Save
- Walrus Optimization Algorithm-Based Feature Selection With Stack Deep Polynomial Network for Securing the EHR in Intrusion Detection Systems Save
- Hybrid Feature Selection Model with BH-XGBoost for Predicting the Drive Sleepiness in Naturalistic Road Driving Condition Save
- Osteosarcoma cancer detection using ghost-faster RCNN model from histopathological images Save
- Innovative Approaches for Multiclass Skin Cancer Diagnosis Using SABO-Based FC-PRNet Segmentation and ECA-Net-VGG16 Classification Save
- IWPO-Based Attention Convolutional-Modified Inception Network for Classification of Histopathological Breast Cancer Save