G Kumaravelan

About

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 35 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 18 years of rich teaching and research experience. He has acted as resource person in various FDPs, Conferences and Seminars in higher educational institutions.

Employment

• Pondicherry University Associate Professor
  2009 - Present
• Bharathidasan University Lecturer
  2006 - 2009
• Avvaiyar Govt. College for Women Hourly-paid Lecturer
  2000 - 2006

Education

• Bharathidasan University PHD
  2009 - 2013
• Bharathidasan University M.Tech (Advanced Information Technology)
  2007 - 2009
• Manonmaniam Sundaranar University M.Phil Computer Science
  2000 - 2002
• Pondicherry University M.Sc Computer Science
  1998 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Orphan-aware unlearning: erasing derived facts via same-author entanglement inlanguage models
  2026 DOI: 10.2139/ssrn.7291271
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• Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness
  ACM Computing Surveys 2025 DOI: 10.1145/3675392
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• A secured and lightweight RFID-tag based authentication protocol with privacy-preserving in Telecare medicine information system
  Computer Communications 2022 DOI: 10.1016/j.comcom.2022.05.002
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• An Efficient Key Frame Extraction from Surveillance Videos for Real-World Anomaly Detection
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-3-031-12413-6_16
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• An Improved 2-Factor Authentication Scheme for WSN Based on ECC
  IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) 2022 DOI: 10.1080/02564602.2022.2055671
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• Outlier detection strategies for WSNs: A survey
  Journal of King Saud University - Computer and Information Sciences 2022 DOI: 10.1016/j.jksuci.2021.02.012
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• RFID tag-based mutual authentication protocol with improved security for TMIS
  International Journal of Information and Computer Security 2022 DOI: 10.1504/ijics.2022.125268
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• Rice plant nutrient deficiency classification using modified MOBILENET convolutional neural network
  International Journal of Modeling, Simulation, and Scientific Computing 2022 DOI: 10.1142/S1793962322430036
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• Temporal Features-Based Anomaly Detection from Surveillance Videos using Deep Learning Techniques
  Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022 2022 DOI: 10.1109/ICAIS53314.2022.9742960
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• Plant leaf disease detection and classification using machine learning approaches: A review
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4543-0_55
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