KEC Faculty Profile

Journals Published (International)

1. Nidhya, R., Pavithra, D., Vinothini, C., and Maragatham, T., (2023). Hybrid Tasmanian Devil and Improved Simulated Annealing-Based Clustering Algorithm for Improving Network Longevity in Wireless Sensor Networks (WSNs). Wireless Pers Commun, Vol.132, pp.1553-1576. 

2. Meenakshi, N., Mustafa Musa Jaber., Rahul Pradhan., Kamruzzaman, M.M., Maragatham, T., Jaya Subalakshmi Ramamoorthi., and Mohanraj Murugesan., (2024). Design systematic wireless inventory trackers with prolonged lifetime and low energy consumption in future 6G network. Wireless Networks, pp.1-22

3. Zhen, Y., Maragatham, T., & Mahapatra, R. P. (2021). Design and implementation of smart home energy management systems using green energy. Arabian Journal of Geosciences, 14(18), 1-11.

4. T Maragatham, S.Karthik, R.M Bhavadharini," TCACWCA: transmission and collusion aware clustering with enhanced weight clustering algorithm for mobile ad hoc networks", Cluster Computing , ISSN: 1386-7857, November 2019

5. B.Thaarani, T.Maragtham, S.Karthik,"Survey on Offloading Computation in Mobile Devices", International Journal of Scientific Progress and Research,ISSN: 2349-4689,Volume 5,Number 3 11,pp 6-8,November 2014.

6. Karpagavadivu, Maragatham T, Karthik S,"A Survey of Different Software Fault Prediction using Data Mining Techniques Methods”,In. Journal of Advanced Research in Computer Engineering & Technology, Volume 1, Issue - 08, 2012.

7.  S Kannan , T Maragatham, S Karthik, V P Arunachalam “ A study of Attack Detection Methods in Proactive and Reactive Protocols” in Medwell Journal, pp 178-183. 2011

8. S Karthik, Z Gugha Priya, T Maragatham, B Chellaprabha, M Marikannan "An Enhanced Secured Data Hiding Using Digital Signature Ink Method”  in Research Journal of Applied Sciences, ISSN: 1815-932x, 5(3): 2010, pp 226-230

Paper Presented in National Conferences

1. T.Maragatham,“ Review on Routing Protocols, Attack and Attack Detection Method in Mobile Ad-Hoc Networks” conducted by the Department of Electronics and Communication Engineering, at SNS Collage of Technology on 10th March 2011.

2. T.Maragatham, “An approach for Detection and Prevention of IP-Spoofed DDoS Attacks” at PGP College of Engineering and Technology on 7th April 2010.

3. T.Maragatham,“Survey on Document Clustering” conducted by the Department of Information Technology, at SNS Collage of Technology on 5th February 2010.

4. T.Maragatham,“Controlling IP Spoofing through Inter Domain Packet Filters” at Nandha Engineering College on 6th March 2009.

5. T.Maragatham, “An overview in Perspective Learning for Software Development” at K.S.Rangasamy College of Technology on 20th February 2008.

6. T.Maragatham,“A Comparison of Challenges and Opportunities in Persistent Grids” conducted by Information Technology Department, at SNS College of Technology on 7th February 2008.

7. T.Maragatham,“Mobile IP Based Mobility Management Technology” conducted by the Department of Computer Science and Engineering,  at SNS College of Technology on 5th October 2007.

8. T.Maragatham “Implementation of Effective Routing Approach in Data Communication Network using Adaptive RTMP Algorithm” conducted by Information Technology Department, at SNS Collage of Technology on 8th February 2007.

Paper Presented in International Conferences

1. T.Maragatham, S Kannan ,“A new Approach for improving packet retransmission over Mobile Adhoc networks using TASR Technology “at Sri Shakthi college of Engineering and Technology on 12th January 2011.

2. R.M. Bhavadharini, T.Maragatham,“ An Efficient Routing in Data Communication Network using RTMP Algorithm” at Avinashilingam University for women on 24th and 25th January 2007

3. Maragatham T, P Balasubramanie ," IoT Based Home Automation System using Raspberry Pi 4" International Virtual conference on Robotics, Automation, Intelligent Systems and Energy (IVC-RAISE 2020) , Department of Mechatronics Engineering, Kongu Engineering College, 15th December 2020.

4. Maragatham T, P Yuvarani ," Security Concerns during Photo Sharing in Social Network Platforms " International Virtual conference on Robotics, Automation, Intelligent Systems and Energy (IVC-RAISE 2020) , Department of Mechatronics Engineering, Kongu Engineering College, 15th December 2020.

5. Maragatham, T., Vinodhini, B., Yuvarani, P., and Samyugtha, K., (2023). Predicting the Uncertainty of Data Generated by Power Transformer using Gradient Boosting Decision Tree. 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), pp.99-108.  

6. Maragatham, T., Chandru Vignesh, C., Sathya, S., and Yokesh, R., (2024). Air Sense: Empowering Air Quality Prediction through Machine Learning Algorithms. 6th International Conference on Recent Trends in Advance Computing (ICRTAC), pp.617-631, IEEE.

7. T. Maragatham, P. Yuvarani, S. Harishri and R. Swetha(2024), "Student Placement Prediction using Deep Learning Techniques," 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, pp. 620-626, doi: 10.1109/ICECA63461.2024.10800998.

8. Yuvarani Pathmanaban, Maragatham Thiagarajan & Haries Palaniappan  (2025). USB-Sentinel: A Generalized AIO Software-Assisted Insider Threat Detection Framework. In: Das, N., Khan, A.K., Mandal, S., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2023. Lecture Notes in Networks and Systems, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-97-8476-9_29 .

9. Maragatham T; Vinodhini B; Abineshwar M.K(2024), "Reinforcement Learning Based Prediction and Classification of Sleep Disorder," 2024 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India, pp. 1-8, doi: 10.1109/ICERCS63125.2024.10894788.

10. Maragatham T; Vanitha K; Sivarajan R,"Dual Space DTR-Net Learning Based Heart Disease Prediction," 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025, pp. 1464-1471, doi: 10.1109/IDCIOT64235.2025.10914786.

11. Yuvarani P; Maragatham T; Gokul Kanna S(2025), "Hybrid Swin Transformer–EfficientNetV2 Model for Robust and Explainable Deepfake Detection," 2025 5th International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), MANDYA, India, pp. 1-6, doi: 10.1109/ICERECT65215.2025.11377109.

12. Yuvarani P; Maragatham T; Nithya S(2025), "Fairness-Aware Loan Approval Prediction using Ensemble Boosting and Deep Tabular Models," 2025 IEEE First International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS), Coimbatore, India, pp. 1-6, doi: 10.1109/ICINVENTS64613.2025.11401396.

13. T. Maragatham, B. Vinodhini and  Kiruthikbairavan C(2026), "Enhanced Bitcoin Price Direction Prediction Using Deep Learning and Cross-Cryptocurrency Market Signals," 2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), Namakkal, India, pp. 1-8, doi: 10.1109/AIMLA67915.2026.11522399.

14. Yuvarani P; Maragatham T; P. Balasubramanie; Nandhini S(2026) , "Computational and IoT Methods for Myocardial Infarction Prediction: A Review," 2026 9th International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India, pp. 757-763, doi: 10.1109/ICICCS67901.2026.11502601. 

Subjects Handled:

• Python Programming

• Distributed Computing

• Graphics and Multimedia 

• Software Engineering

• Agile Software Engineeirng 

• Data Structures 

• Programming and Linear Data Structures 

• Introduction to Data Science

• Machine Learning

• Operating Systems