Date of Joining: 05-10-2004
Educational Qualification: M.Sc., M.Phil., M.Tech.
Teaching Experience: 22 Years  11 Months
Field of Research: Artificial Intelligence, Machine Learning

Publications:

• Mr. R Karthikeyan, P Geetha, Plant Disease Identification Using the K-Nearest Neighbors Classifier Algorithm , Recent Trends in Computer Sciences – RTCS 2023, ISBN : 978-81-955309-5-3
• Mr. R Karthikeyan^1a,b*, P. Geetha², E. Ramaraj³, The Rule-Based Multi-Class Classification Model Predicts Early Diabetes Using Supervised Machine Learning Techniques, Journal of Northeastern University, November , 2022
• Mr. R Karthikeyan, P Geetha, Diagnosis of Diabetes Using Clustering and Classification Techniques Based on Machine Learning Techniques, International E-Conference on Scientific Research in Multidisciplinary Approach, PN 65,2022
• Mr. R Karthikeyan, T Prabakar, R Soundarya, Alzheimer’s Disease Prediction Using Supervised Machine Learning Techniques, International E-Conference on Scientific Research in Multidisciplinary Approach, PN 66,2022
• Mr. R Karthikeyan, B Sowmiya, Decision Tree Based Diabetes Prediction, National Conference on Recent Trends in Advanced Computing Technologies, April 17, 2015.
• Mr. R Karthikeyan, Information Retrieval Of Cloud Computing And It’s Service Models” National Conference, March 2014
• Mr. R Karthikeyan, The Pros & Cons Of Cloud And Various Aspects Of Security, Threats In Cloud Computing, National Conference On Recent Trends In Computer Science, ISBN:9788183716659, 2014.
• Mr. R Karthikeyan, An Overview Of Data Mining Concepts And Techniques With Confluence of Multiple Disciplines, National Conference, March 2013
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