Department of Computer Science

• Assistant Professor & Dean of Sciene - Jairams Arts & Sciene College, Karur - 4 Years
  Assistant Professor - Computer Applications- Karpagam Deemed University - 2 Years
  Assistant Professor - MCA- SVS College of Engineering, Coimbatore - 2 Years
• Assistant Professor- Computer Science - SNMV , Coimbatore - 1 year
• Assistant Professor - Computer Science- VLBJCAS - 2 Years

• Possess 16+ years of teaching and academic administrative experience in reputed higher education institutions.
• Currently serving as Associate Dean (R&D) and Head (i/c), Department of Computer Science, Thiagarajar College, Madurai
• Published 13+ research articles in reputed Scopus / UGC / International journals in areas including AI, Data Mining, Networking, Healthcare Informatics, and IoT.
• Authored and co-authored 10+ international book chapters published by Springer Nature, Elsevier, Wiley, CRC Press, and other leading publishers.
• Maintained active researcher profiles with Scopus ID and ORCID, contributing to global research visibility.
• Granted 2 Indian patents:
  • Chronic Care Model Based on IoT for Type-2 Diabetes Monitoring (2023).
  • Smart Vehicle Tracking System (2023).
• Active member of the Institution Innovation Council (IIC), promoting innovation and entrepreneurship
• Served as Dean of Science and Head of Computer Science at Jairams Arts & Science College, Karur.
• Acted as NAAC Coordinator, contributing to quality assurance and accreditation processes.
• Member of Board of Studies (BOS) in multiple autonomous and affiliated colleges.
• Strand Lead Member – Data Processing Team, Thiagarajar College, Madurai.
• Successfully guided 40+ MCA and M.Sc. Computer Science student projects.
• Actively involved in curriculum development and academic planning as BOS subject expert.

                                                                            Journals

1.Rakesh, G., et al. (2019). *Resilience as a Translational Endpoint in the Treatment of PTSD*. Molecular Psychiatry*, 24(9), 1268-1283.
2.Dhas, L. J. S., Mukunthan, B., & Rakesh, G. (2020). *Hybridized Gradient Descent Spectral Graph and Local-Global Louvain Based Clustering of Temporal Relational Data*. International Journal of Engineering & Advanced Technology.
3.Rakesh, G., & Thangadurai, K. (2017). *Congestion Identification and Avoidance Approach to Internetworking for Traffic Engineering Mechanism*. *International Journal of Advanced Research in Computer Engineering.
4.Rakesh, G., & Thangadurai, K.** (2016). *TDA Routing for Internet Backbone to Ensure Optimized Computing in Networks*. *International Journal of Computer Science and Network Security.
5. Rakesh, G., & Thangadurai, K. (2014). *A Short Study on Routing and Traffic Engineering Design for Global Internetworking*. *International Journal of Advanced Research in Computer Science and Software Engineering*, 4(2), 240-248.
6.Rakesh, G., Mukunthan, B., & Selvi, K. (2020). *An Analysis on Impact of Data Mining Algorithms and Its Accuracy in Education System.
Page 3 of 9
7.Rakesh, G., et al. (2023). *Using a Content-Based Filtering Approach, Advanced Study on Spam Detection and Spammer Behavior Analysis on Twitter*. *BP International.
8.Rakesh, G. (2023). *Study on Hybridized Gradient Descent Spectral Graph and Local-global Louvain Based Clustering of Temporal Relational Data*. *Recent Progress in Science and Technology*, 3, 25-42.
9.Rakesh, G.(2023). *Forecasting the Factors Responsible for Improving the Yield of Sugarcane Crop Using Artificial Neural Network. *SSRG International Journal of Electronics and Communication Engineering.
10.Rakesh, G. (2021). *Data Aggregation in VANET for Probabilistic B-Tree Based Multi-Hop Clustering Algorithm*. *Research Trends in Multidisciplinary Subjects.
11.Rakesh, G. (2020). *MRI Image Brain Tumor Detection and Segmentation Using Texture-Based Statistical Characterization Method*. Journal of Advanced Research in Dynamical and Control Systems.
12.Rakesh, G. (2024), Architectural Framework For Enhancing The Artificial BrainMemory Segmentation Mechanism Using K-Mapping Algorithm, Afr. J. Biomed. Res. Vol. 27(4s) (November 2024); 488-492
13.Rakesh, G. (2024), Personalized Cardiac Health Threat Prediction System: Enhancing Individual Health Insights, Journal of Computational Analysis &
Applications, Vol. 33 , issue 8.

                                                                                             Book Chapter

1.Natarajan, G., Balasubramanian, S., Elango, E., & Gnanasekaran, Rakesh. (2024). *Leveraging Artificial Intelligence and Machine Learning for Advanced Threat Detection in Smart Manufacturing*. In *Artificial Intelligence Solutions for CyberPhysical Systems*, 101-119.
2.Soman, S., Gnanasekaran, R., Natarajan, G., & ALSaidi, F. K. S. (2024). *Applications of UAV-AD (Unmanned Aerial Vehicle-Agricultural Drones) in Precision Farming*. In *Intelligent Robots and Drones for Precision Agriculture*, 307325.

3.Natarajan, G., Elango, E., Gnanasekaran, R., & Soman, S. (2024). *Explainable Artificial Intelligence for Ocean Health: Applications and Challenges*. In *Artificial Intelligence and Edge Computing for Sustainable Ocean Health*, 241-270.
4.Gnanasekaran, R., Soman, S., Natarajan, G., & AL’Abd AL-Busaidi, S. A. (2024). *Smart Organic Agriculture in Traditional South Indian-Based Farming System*. In *Intelligent Robots and Drones for Precision Agriculture*, 265-282.
5.Sundaravadivazhagan Balasubramanian & Elakkiya Elango Gnanasankaran Natarajan, Rakesh Gnanasekaran (2025), Machine Learning for Bioinformatics and Healthcare: Applications and Challenges, Cyber-Physical Systems Security, Springer Nature, vol. 150, 53-70.
6.Gnanasankaran Natarajan, Elakkiya Elango, Shirley Chellathurai Pon Anna Bai, Rakesh Gnanasekaran (2025) ,6G communication paradigm: A comprehensive exploration of the next generation connectivity, Elsevier, 2025/4/4.
7.Gnanasankaran Natarajan, Rakesh Gnanasekaran, Sundaravadivazhagan Balasubramanian & Elakkiya Elango
Machine Learning for Bioinformatics and Healthcare: Applications and Challenges
Cyber Physical Systems Security, Springer Nature 2025.

8.Rakesh Gnanasekaran a, Gnanasankaran Natarajan a, Sundaravadivazhagan Balasubramanian b, Shirley Chellathurai Pon Anna Bai
XAI implementation in traditional alternate medicine system,
Explainable AI in Healthcare Imaging for Medical Diagnoses: Digital Revolution of Artificial Intelligence, Elseiver 2025.
9.Rakesh Gnanasekaran, Gnanasankaran Natarajan,
Efficient Mixed Tracking of AR and VR Applications,
Virtual Reality and Augmented Reality with 6G Communication,
Wiley Scrivener 2025.
10.Rakesh Gnanasekaran, Devika Govindhan,
Internet of Medical Things: Architecture and Technologies
Internet of Medical Things: Case Studies and Applications in Healthcare
Chapman and Hall- CRC Press 2025

• BOS Subject Expert for Department of Computer Applications, Kongu College of Arts & Science, Erode
• Review Member for Scopus Indexed Journal ( Computational Biology )