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).