Rajesh Kanna R
Christ University, Dr NGP Arts and Science College, Muthayammal College of Arts and Science
About
Rajesh Kanna R working as is Assistant Professor at CHRIST(Deemed to be University), Bangalore, India. He Holds a PhD degree in Computer Science in Mobile adhoc Network at Bharathiar University, Coimbatore, India. His research areas are Mobile Adhoc Networks, VANET, Machine Learing and medical image analysis. He is acted as Coordinator for centre for e-learning and NAAC Criterion II.He published 27 Journal articles in various international peer reviewed journals, 3 Book publications and 35 presentations in various international level conference held in india and abroad.He received morethan 15 lakhs for researchand consultancy for research promotion.
Employment
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Christ University Assistant Professor2022 - Present
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Dr NGP Arts and Science College Professor and Head2013 - 2022
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Muthayammal College of Arts and Science Assistant Professor2012 - 2013
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PGP College of Arts and Science Assistant Professor2008 - 2012
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Designing an Efficient and Scalable Relational Database Schema: Principles of Design for Data Modeling Save
- Exploring Best Practices in Mobile App Design Patterns and Tools Save
- An efficient web log file classification techniques to identify the fault data identification using multi-class support vector machine algorithm Save
- Adaptive Multicast Multimedia Transmission Routing Protocol System (ACMMR) for Congestion Control and Load Balancing Techniques in Mobile Adhoc Networks Save
- A Novel Blockchain-Based Fault-Tolerant Authentication Technique for Secure and QoS Aware Vehicular Ad Hoc Network Using Save
- Effective Urban Ranking Routing Protocol To Improve Data Transmission For Enhanced Vehicular Ad Hoc Network Save
- Improved Random Forest Algorithm for Cognitive Radio Networks' Distributed Channel and Resource Allocation Performance Save
- IoT Based Smart Agriculture To Avoid Post Harvest Losses Using Machine Learning Algorithms Save
- Risk identification and traffic prediction based on AI Technologies in VANET Save