Dr. P. Thiyagarajan

Journal Publications

1. Subramaniyan, S., Regan, R., Perumal, T., & Venkatachalam, K. (2020). Semi-supervised machine learning algorithm for predicting diabetes using big data analytics. In Business Intelligence for Enterprise Internet of Things (pp. 139–149).
2. Thiyagarajan, P., & Senthilkumar, S. (2020). Power efficient memetic optimized and adjacent exponentially distributed routing in mobile ad hoc networks. Computer Communications, 150, 209–215.
3. Perumal, T. (2020). Statistical Markov model based natural inspired glowworm swarm multi-objective optimization for energy efficient data delivery in MANET. Information Technology and Control, 49(2), 333–347.
4. Pushpalatha, M., & Thiyagarajan, P. (2025). A comprehensive review of machine learning approaches for dynamic resource allocation in multi-tenant cloud environments. International Journal of Environmental Sciences, 11(11s), 828–846.
5. Velusamy, A., et al. (2024). Optimized machine learning model for disease prediction and treatment recommendation through gait analysis. Proceedings of the 2024 International Conference on Advancements in Power, Communication and Computing.
6. Thiyagarajan, P., Gowrishankar, O. K., & Sudhakar, K. (2013). Prolonged network lifetime and data wholeness by clusters using B-Ct algorithm. International Journal of Computer Science and Mobile Computing, 3(2), 57–62.
7. Porkodi, C. (2025). Enhanced ransomware threat detection based on AI-powered deep feature engineering using intellectual cyber swarm intelligence technique with hyper capsule deep neural network. Journal of Neonatal Surgery, 14(26), 592–610.
8. Banumathy, T. P., Maheskumar, V., & Vijayarajeswari, R. (2025). Detecting auto bot text content document based on subspace relative lexicon depth measure using bigram inverse frequency key term analyzer. Journal of Machine and Computing, 5(2), 900–913.
9. Banumathy, D., Maheskumar, V., & Vijayarajeswari, R. (2024). Rest-Rec: Restaurant recommender system based on model-based collaborative filtering approach. International Journal of Intelligent Systems and Applications in Engineering. Link
10. Velusamy, A., et al. (2024). Optimized machine learning model for disease prediction and treatment recommendation through gait analysis. Proceedings of the 2024 International Conference on Advancements in Power, Communication and Computing.
11. Maheshwari, R., Banumathy, D., Thiyagarajan, P., & Rajeshwaran, P. (2024). Kernel block based morphing identification and elimination in server. International Journal of Scientific Research in Science, Engineering and Technology.
12. Maheshwari, R., Banumathy, D., Thiyagarajan, P., & Dhayalan, R. D. (2024). Tree leaves based disease prediction and fertilizer recommendation using deep learning algorithm. International Journal of Scientific Research in Science and Technology, 11(3).
13. Manoj Prabhakar, K. S., Thiyagarajan, P., & Kavin Kumar, S. (2024). Automatic pronunciation analysis using artificial intelligence technology. International Journal of Novel Research and Development, 9(5), a360–a366.
14. Srikanth, K., Thiyagarajan, P., Surya, R., & Vasanthan, B. (2024). Banking chatbot development using AI trained and featured dataset. International Journal of Creative Research Thoughts, 12(4). Link
15. Sundaram, M. S., Karthick, S., & Thiyagarajan, P. (2023). Hybrid approaches for intracerebral hemorrhage stroke classification using deep learning techniques. Proceedings of the 2023 4th International Conference on Smart Electronics and Communication.
16. Thiyagarajan, S. S. (n.d.). The study on static and dynamic energy efficient optimization techniques in MANET. International Journal of Scientific & Technology Research.

Conference Publications

1. Cluster Method for Data Collections in Wireless Sensor Networks. National Conference on Recent Trends in Innovative Technologies (NCRTIT’10), Vellalar College of Engineering and Technology, Tindal, Erode-12
2. Implementation of Puma [Protocol for Unified Multicasting Through Announcements] in MANET. National Conference on Recent Advances in Science and Engineering (NCRASE-2017), University College of Engineering, Pattukkottai
3. A New Intrusion Detection System for MANETs with the Energy Constraints. NCRASE-2017, University College of Engineering, Pattukkottai
4. Energy Saving Scheme in MANET by avoiding Wormhole attacks. National Conference on Recent Innovations in Engineering and Science (NCORIES 2K18), University College of Engineering, Pattukkottai
5. A new exposure for package dropping Attack Nodes in MANETS. Second International Conference on Recent Advances and Trends in Computer Engineering, Management and Security, March 7, 2012, Vivekananda College of Engineering for Women
6. An Energy Saving Approach in Mobile Ad-hoc Networks (MANET). International Conference on Discrete Mathematics & Data Sciences, Sept 28–29, SASTRA Deemed University, Thanjavur

Book Chapter Publication

P. Thiyagarajan (2020) “Semi-Supervised Machine Learning Algorithm for Predicting Diabetes Using Big Data Analytics.” In: EAI/Springer Innovations in Communication and Computing. Springer.

Research Projects (Funded)

Tongue Pressure Analysis with Therapy in collaboration with Zentronics Mfg Company. The project focused on analysing tongue pressure patterns and developing a supportive therapeutic system. Contribution helped generate ₹2,25,000 for the organization (2023–2024).

Patents

1. A System and Method for Shopping for the Visually Impaired – 25-02-2022
2. AI Based Pro State Cancer Detection in MRI Images – 13-08-2021
3. AI Based Voice Medical Prescription – 18-06-2021
4. Design Systems of Women Safety Footwear – 20-01-2023

Membership

IAENG

Researcher IDs

• Scopus ID: 56131533200
• Google Scholar ID: KnbYdtgAAAAJ
• ORCID ID: 0000-0003-1449-3304
• VIDWAN ID: NIL

Awards & Recognitions

1. Received Best Faculty Award from The Institution of Engineers (India) for the year 2025