Dr. G. Kumaravelan
About
Research Area
Dr. G. Kumaravelan, currently serving as Associate Professor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Karaikal Campus, Karaikal. He received his M.Tech Degree in Advanced Information Technology and Ph.D in Computer Science from Bharathidasan University, Trichy, India in the year 2009 and 2013 respectively. He has published more than 25 research papers in reputed international journals indexed in Scopus and SCI and conferences including IEEE, SPRINGER and ACM. He received two best paper awards in the International conferences organized by IITs. He has received “Best Teacher Award” by Pondicherry University, based on student’s evaluation for past six years (2013-14, 2014-15, 2015-16, 2016-17, 2017-18 and 2018-19). He has gained 17 years of rich teaching and research experience. He has acted as resource person in various FDPs, Conferences and Seminars in higher educational institutions.
- Associate Professor
+91-4368231030
gkumaravelan.kcs@pondiuni.edu.in, gkumaravelanpu@gmail.com
Notable Publications
Bhanu Chander, G. Kumaravelan, Outlier detection strategies for WSNs: A survey, Journal of King Saud University - Computer and Information Sciences, Volume 34, Issue 8, Part B, Pages 5684-5707, 2022. (Impact factor 13.47).
Bhanu Chander and Kumaravelan Gopalakrishnan, A secured and lightweight RFID-tag based authentication protocol with privacy-preserving in Telecare medicine information system, Computer Communications, Volume 191, Pages 425-437, 2022. (Impact factor 3.167)
Bichitrananda Behera, G. Kumaravelan, Text document classification using fuzzy rough set based on robust nearest neighbor (FRS-RNN), Soft Computing, Springer, 25, pp. 9915–9923, 2021. (Impact factor 3.05)
BhanuChander and G. Kumaravelan, Secure authentication in IoT and cloud server: An ECC based practice, Journal of Discrete Mathematical Sciences and Cryptography, Volume 24, Issue 5, pp. 1229-1240, 2021. (Impact factor 2.050)
Majji V. Appalanaidu and G. Kumaravelan, Rice plant nutrient deficiency classification using modified MOBILENET convolutional neural network, International Journal of Modeling, Simulation, and Scientific Computing, DOI:10.1142/S1793962322430036, 2022. (Impact factor 0.923)
