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Faculty Profile
Reshma R
Reshma R
Assistant Professor (Pursuing PhD)

Mrs. R. Reshma is a dedicated researcher and passionate academic with over 6 years of experience in Computer Science and Engineering, specializing in Machine Intelligence. She holds an MTech in Computer Science and Technology and is currently pursuing her Ph.D. in Narrowband IoT (NB-IoT) Security. She has published over 25 research papers in reputed national and international journals and holds 5 patents in emerging areas of cybersecurity. She currently serves as Assistant Professor in the Department of Artificial Intelligence and Data Science at Adi Shankara Institute of Engineering and Technology, Kalady. With this, she continues her mission to empower students, scholars, and practitioners with advanced knowledge in the ever-evolving domain of cyber and IoT security.

  1. Dharshini, S., Geetha, S., Arya, S., Mekala, N., Reshma, R., & Sasirekha, S. P. (2023). An enhanced brain tumor detection scheme using a hybrid deep learning model. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 1395–1399). IEEE.
  2. Harikirshnan, K., Nagavigneshwar, R., Vignesh, R., Santhosh, R., & Reshma, R. (2023). Intelligent online shopping using ML-based product comparison engine. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 174–179). IEEE.
  3. Janaraniani, N., Divya, P., & Madhukiruba, E. (2022). Retracted: Heart attack prediction using machine learning. In 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 854–860). IEEE.
  4. Kumar, P. V., Balamurugan, D., Suriya, K., & Reshma, R. (2023). An improved learning experience for English language using big data analytics and AAC. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 347–353). IEEE.
  5. Lakshmi, S. J., Sasirekha, S. P., Mekala, N., Reshma, R., Nair, V. I., & Bhagya, S. G. (2024). Artificial vision–YOLOv8 algorithm for objects and impediments detection. In 2024 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1–7). IEEE.
  6. Marimuthu, M., Rajendran, S., Radhakrishnan, R., Rengarajan, K., Khurram, S., Ahmad, S., Sayed, A. E., & Shafiq, M. (2023). Implementation of VLSI on signal processing-based digital architecture using AES algorithm. Computers, Materials & Continua, 74(3), 4729–4745. Tech Science Press.
  7. Mohanapriya, M., Bharanidharan, R., Santhosh, R., & Reshma, R. (2025). An intelligent framework for IoT-based health care monitoring using fuzzy-supported machine learning algorithm. In Smart factories for Industry 5.0 transformation (pp. 167–186). John Wiley & Sons.
  8. Muhaimeen, A., Aadithiyaprasana, K., Ranjith, A., Sasirekha, S. P., Reshma, R., & Mekala, N. (2023a). Enhancing IoT security with federated deep learning techniques. In 2023 8th International Conference on Communication and Electronics Systems (ICCES) (pp. 1081–1087). IEEE.
  9. Muhaimeen, A., Aadithiyaprasana, K., Ranjith, A., Sasirekha, S. P., Reshma, R., & Mekala, N. (2023b). A novel approach to predict the severity of peripheral neuropathy using machine learning. In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1–7). IEEE.
  10. Muhaimeen, A., Aadithiyaprasana, K., Ranjith, A., Sasirekha, S. P., Reshma, R., Mekala, N., Kumar, L. M. A., Murugan, S., Sahu, N., & Bhat, A. (2023c). Novel ransomware virus detection technique using machine and deep learning methods. Optimization, 8, Article 3.
  11. Parthipan, N., Ramar, K., Santhosh, R., & Reshma, R. (2023). A study on artificial intelligence-based natural language processing for online shopping services. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 410–415). IEEE.
  12. Reshma, R., Rajaram, J., & Dhasaratham, M. (2020). Scope of visual-based similarity approach using convolutional neural network on phishing website detection. In Intelligent system design: Proceedings of Intelligent System Design: INDIA 2019 (pp. 435–452). Springer Singapore.
  13. Reshma, R. (2022). An improved chatbot for medical assistance using machine learning. In 2022 International Conference on Inventive Computation Technologies (ICICT) (pp. 70–75). IEEE.
  14. Reshma, R., Asfiya, M., Priyadharshini, V., Sandhiya, N., Ramya, N., & Jarlitjermila, C. (2026). Intelligent water quality monitoring using IoT sensors and multi-modal data fusion with edge analytics for environmental protection. In 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (pp. 159–165). IEEE.
  15. Reshma, R., Mohanasundaram, N., & Santhosh, R. (2025). Design strategy for narrowband internet of things with its scope and challenges of security solutions. In Smart factories for Industry 5.0 transformation (pp. 187–227). John Wiley & Sons.
  16. Reshma, R., Santhosh, R., & Mekala, N. (2023). An analytical approach to fraudulent credit card transaction detection using various machine learning algorithms. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS) (pp. 1400–1404). IEEE.
  17. Reshma, R., Sundaram, N. M., & Santhosh, R. (2026). A novel distributed narrow band-internet of things (NB-IoT) security solution with minimal energy conservation using deep neural network-based node behavioral analysis. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. Springer.
  18. Sasikumar, A., Sathyanarayanan, M., Sriayapppan, A. N., Santhosh, R., & Reshma, R. (2023). A CNN-based Canny edge detection approach for car scratch detection. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 404–409). IEEE.
  19. Sasirekha, S. P., Reena, M. J., Reshma, R., & Mekala, N. (2025). Physics-embedded multi-task neural surrogate for predicting and optimizing incremental sheet forming of AZ31B magnesium alloy. In 2025 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1–5). IEEE.
  20. Sasirekha, S. P., Reshma, R., Lallithamani, P., Sundareswari, K., & Dhanapal, R. (2022). Improving object detection performance in VANET using deep learning. Mathematical Statistician and Engineering Applications, 71(3s2), 99–110.
  21. Sathishkumar, G., Siva, P., Joseph, D. A. M., Santhosh, R., & Reshma, R. (2023). Study on distributed multi-level security scheme for cloud computing. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1052–1057). IEEE.
  22. Senthamil, M., Mohideen, K. S., Saran, S., & Reshma, R. (2022). A state-of-the-art approach for securing online auction system. In 2022 6th International Conference on Electronics, Communication and Aerospace Technology (pp. 658–663). IEEE.
  23. Stency, V. S., Mohanapriya, M., & Reshma, R. (2026). Interactive educational system using artificial intelligence technique for the higher education system. Genetics and Molecular Research.
  24. Subiramaniyan, S., Sasirekha, S. P., Reshma, R., & Mekala, N. (2023). Mathematical modelling of mitigating channel fading in vehicular information propagation. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1781–1788). IEEE.
  25. Subiramaniyan, S. D., MP, M. F., SM, S. B., Sasikala, K., Reshma, R., & Sasirekha, S. P. (2023). A novel decentralized product verification using blockchain technology. In 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 642–646). IEEE.
  26. Suriya, K., & Reshma, R. (2023). Predicting and analyzing water quality using machine learning for smart aquaculture. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 354–359). IEEE.
  27. Vinothkumar, K., Mekala, N., Sasirekha, S. P., & Reshma, R. (2023). Predicting high-risk areas for crime hotspot using hybrid kNN machine learning framework. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 848–852). IEEE.
  28. Vinothkumar, K. S. R. K., Ranjith, K. S., Vikram, R. R., Mekala, N., Reshma, R., & Sasirekha, S. P. (2023). Crime hotspot identification using SVM in machine learning. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 366–369). IEEE.

Got opportunity to pesent a special talk on Data Mining and Data Analytics using Python in an international convergence initiated by Quirino State University, Philippines

Pursuing PhD on "Smart Security Solutions for Narrowband IoT using Machine Intelligence"

Email Phone Date Of Joining
reshmar.ds@adishankara.ac.in 0484-2463825 05-01-2026