Academic Profile
Ph.D in Information and Communication Engineering, Anna University, Chennai
M.E (Computer Science and Engineering) from Annamalai University
B.E (Computer Science and Engineering) from BIT, Sathy
Professional Experience
Associate Professor in Information Technology, Nandha Engineering College (April 2026 – Till Date)
Associate Professor in the Department of AI , Kongu Engineering College (May 2022 – June 2024)
Assistant Professor (Senior Grade) in Information Technology, Kongu Engineering College (June 2004 – May 2022)
Research Publications
● Sah, S. S., Logeswaran, K., Savitha, S., Kruthika, M., Rajadevi, R., Vasugi, M., et al. (2025). Enhancing aquaculture sustainability with deep learning techniques: Fish species detection and disease diagnosis. In 3rd International Conference on Artificial Intelligence and Machine Learning.
● Logeswaran, K., Suresh, P., Savitha, S., Rajadevi, R., Vasugi, M., Sujit, B., et al. (2025). Empowering leather quality assurance: Leveraging convolutional neural networks for precise defect detection and classification. In 3rd International Conference on Intelligent Systems, Advanced Computing.
● Rajadevi, R., Latha, R. S., Roopa Devi, E. M., Logeswaran, K., Thanush, S., et al. (2025). Speech emotion detection for Tamil language: Performance evaluation of deep learning models. In International Conference on Computational Intelligence in Data Science (pp. 380–391).
● Rajadevi, R., Latha, R. S., Logeswaran, K., Rahshitha, K. S., Soumiya, K., et al. (2025). Optimizing waste classification in recycling systems through transfer learning and layer freezing. In 2025 International Conference on Electronics and Renewable Systems (ICEARS).
● Dharani, M., Rajendran, K., Rajadevi, R., Sathya, A., et al. (2025). Synthesis, characterization, and computational evaluation of novel 4-methyl-7-hydroxy coumarin derivatives for potential pharmaceutical applications. World Journal, 21(3), 190–205.
● Logeswaran, K., Ponselvakumar, A. P., Rajadevi, R., Sangeetha, M., et al. (2024). Machine learning model for concrete strength prediction. In 15th International Conference on Computing Communication and Networking.
● Kruthika, M. S., Rajadevi, R., Senthilvadivu, K., Lavanya, J., Deepak, D., et al. (2024). Comparative study of machine learning approaches for loan approval prediction in financial sector. In 15th International Conference on Computing Communication and Networking.
● Rajadevi, R., Logeswaran, K., Sathya, D., Rahshitha, K. S., Soumiya, K., et al. (2024). Comparison of type 2 diabetes mellitus on foot thermography using transfer learning techniques. In 15th International Conference on Computing Communication and Networking.
● Logeswaran, K., Savitha, S., Suresh, P., Prasanna Kumar, K. R., & Gunasekar, M. (2024). Unifying technologies in Industry 4.0: Harnessing the synergy of internet of things, big data, augmented reality/virtual reality, and blockchain technologies. In Topics in Artificial Intelligence Applied to Industry 4.0 (pp. 127–147).
● Roopa Devi, E. M., Shanthakumari, R., Rajadevi, R., Kayethri, D., & Aparna, V. (2024). Decentralized, distributed computing for internet of things-based cloud applications. In Automated Secure Computing for Next-Generation Systems (pp. 43–64).
● Sri, K. M., Rajadevi, R., Sathya, D., Varshini, S. S., Sowbharanika, J. S., et al. (2024). Garbage classification: A deep learning perspective. International Research Journal on Advanced Engineering Hub (IRJAEH), 2(12).
● Roopa Devi, E. M., Shanthakumari, R., Rajadevi, R., Sedhumadhavan, V., et al. (2023). Automated detection and mitigation of toxic comments using XLNET fine-tuning model. In International Conference on Hybrid Intelligent Systems (pp. 21–30).
● Roopa Devi, E. M., Shanthakumari, R., Rajadevi, R., Anusuyaa, H., Harini, L., & Lokesh, L. (2023). Rice leaf disease diagnosis using dense EfficientNet model. In International Conference on Intelligent Systems Design and Applications (pp. 200–210).
● Rajadevi, R., Devi, E. M. R., Dharani, M. K., Logeswaran, K., Dineshkumar, S., et al. (2023). Prediction of lung disease from respiratory sounds using. In Proceedings of International Conference on Recent Innovations in Computing.
● Devi, E. M. R., Shanthakumari, R., & Rajadevi, R. (2023). Forecasting air quality pollutants using ensemble learning models. In 2023 2nd International Conference on Vision Towards Emerging Trends in Computing.
● Dharani, M. K., Thamilselvan, P., & Rajadevi, R. (2023). Parkinson’s disease identification using vocal features. In 2023 Second International Conference on Electronics and Renewable Systems.
● Devi, E. M. R., Shanthakumari, R., Rajadevi, R., Roshan, M. A., & Hari, V. (2023). An ensemble prediction model for chronic kidney disease using optimized feature selection. In 2023 International Conference on Computer Communication and Informatics (ICCCI).
● Devi, E. M. R., Shanthakumari, R., Rajadevi, R., Shree, K. I. S., & Shakkirun, R. (2023). Imbalanced breast cancer prediction using CNN through multi-net framework. In 2023 International Conference on Computer Communication and Informatics (ICCCI).
● Latha, R. S., Sreekanth, G. R., Suganthe, R. C., Rajadevi, R., Jagadeeswaran, V. V., et al. (2023). Text detection and language identification in natural scene images using YOLOv5. In 2023 International Conference on Computer Communication and Informatics (ICCCI).
● Suganya, R., Joseph, N. P., Rajadevi, R., & Ramamoorthy, S. (2023). Enhancing the job scheduling procedure to develop an efficient cloud environment using near optimal clustering algorithm. International Journal of Cloud Computing, 12(2–4), 134–147.
● Rajadevi, R., Venkatachalam, I., Masud, M., AlZain, M. A., & Abuhawwash, M. (2023). Proof of activity protocol for IoMT data security. Computer Systems Science & Engineering, 44(1), 339.
● Ahamad, S., Veeraiah, V., Ramesh, J. V. N., Rajadevi, R., R. S., & Pramanik, S. (2023). Deep learning-based cancer detection technique. In Handbook of Research on Thrust Technologies’ Effect on Image Processing (pp. 222–243).
● Roopa, D. E. M., Rajadevi, R., Shanthakumari, R., Praveen, E., & SethuRaj, S. (2022). Mortality prediction of lung cancer from CT images using deep learning techniques. In 2022 Fifth International Conference on Computational Intelligence and Communication Technologies.
● Rajadevi, R., Devi, E. M. R., Dharani, M. K., Logeswaran, K., Dineshkumar, S., et al. (2022). Prediction of lung disease from respiratory sounds using convolutional neural networks. In The International Conference on Recent Innovations in Computing (pp. 453–466).
● Latha, R. S., Sreekanth, G. R., Rajadevi, R., Nivetha, S. K., Kumar, K. A., Akash, V., et al. (2022). Fruits and vegetables recognition using YOLO. In 2022 International Conference on Computer Communication and Informatics (ICCCI). IEEE.
● Rajadevi, R., Devi, E. M. R., Latha, R. S., Harshini, S., Ajay, K., & Abinash, M. (2022). Secured storing and sharing of medical records based on blockchain. In 2022 International Conference on Computer Communication and Informatics (ICCCI). IEEE.
● Roopa Devi, E. M., Rajadevi, R., Priyadharshini, V., Praveen, S., & Sethuraj, S. (2021). An ensemble approach for predicting intraocular diseases using immune mediator levels. In International Conference on Hybrid Intelligent Systems (pp. 330–343).
● Anitha, N., Priya, R. D., Rajadevi, R., Baskar, C., Madhumitha, G., Arunkumar, A., et al. (2021). Prediction of malnutrition among pregnant women and infants in tribal areas of Tamil Nadu using classification algorithms. In International Conference on Hybrid Intelligent Systems (pp. 88–105).
● Rangasamy, D. P., Rajappan, S., Natarajan, A., Ramasamy, R., & Vijayakumar, D. (2021). Variable population-sized particle swarm optimization for highly imbalanced dataset classification. Computational Intelligence, 37(2), 873–890.
● Shanthakumari, R., Devi, E. M. R., Rajadevi, R., & Bharaneeswar, B. (2021). Information hiding in audio steganography using LSB matching revisited. Journal of Physics: Conference Series, 1911(1), 012027.
● Gopi, R., Suganthi, S. T., Rajadevi, R., Johpaul, P., Bacanin, N., & Kannimuthu, S. (2021). An enhanced green cloud based queue management (GCQM) system to optimize energy consumption in mobile edge computing. Wireless Personal Communications, 117(4), 3397–3419.
● Latha, R. S., Sreekanth, G. R., Suganthe, R. C., Rajadevi, R., & Karthikeyan, S. (2021). Automatic detection of tea leaf diseases using deep convolution neural network. In 2021 International Conference on Computer Communication and Informatics (ICCCI). IEEE.
● Rajadevi, R., Devi, E. M. R., Shanthakumari, R., Latha, R. S., Anitha, N., et al. (2021). Feature selection for predicting heart disease using black hole optimization algorithm and XGBoost classifier. In 2021 International Conference on Computer Communication and Informatics (ICCCI). IEEE.
● Balaji, V. R., Suganthi, S. T., Rajadevi, R., Kumar, V. V., Balaji, B. S., & Pandiyan, S. (2020). Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier. Measurement, 163, 107922.
● Rajadevi, R., Devi, E. M. R., & Kumar, S. (2020). Prediction of crime occurrence using multinomial logistic regression. International Journal of Innovative Technology and Exploring Engineering.
● Devi, E., Rajadevi, R., & Kumar, S. (2019). Sentimental analysis of Twitter health data using machine learning techniques. International Journal of Innovative Technology and Exploring Engineering, 9.
● Dhivya, A. (2016). Semantic based web service retrieval using similarity measures. Discovery Publication, 52, 76–82.
● Yazhini, R. P. (2014). Link-stability and energy aware routing protocol in distributed wireless networks. International Journal of Scientific & Engineering Research, 5(4).