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Dr. Muthumanikandan V

Associate Professor

Email: muthumanikandan.v@vit.ac.in

PhD: Madras Institute of Technology / Anna University

Research Area: Software Defined Networks, Internet of Things, Networking, Cloud Computing

Employee ID 51328
Intercom 044 3993 1185
Educational details
Degree Passed out year Specialization Institute/University/ College
PhD 2019 Software Defined Networks(SDN Madras Institute of Technology / Anna University, Chennai
M.Tech 2011 Computer Science and Engineering(CSE) Anna University of Technology, Tirunelveli
B.E./B.Tech 2009 Computer Science and Engineering(CSE) Anna University Chennai
Research Details
Areas of Specialization Networking, Software Defined Networks(SDN), Internet of Things(IoT), Cloud Computing, High Performance Computing, Web Technology
ORCID ID https://orcid.org/my-orcid?orcid=0000-0002-5863-5047
Scopus ID https://www.scopus.com/authid/detail.uri?authorId=57191364726
H-index (scopus) 4
Google Scholar ID https://scholar.google.com/citations?user=D1DFwEoAAAAJ&hl=en
i10 index 1
On-going Consultancy Project Details
On-going Consultancy Project Title Funding Agency
Web Based Retail Solution for Solar Energy Product Natural Towers

(Complete Solar PV Power Solution)

No.613, Otthai St, Muthupillaimandapam, Kumbakonam-612401

Patent Granted Details
Patent Granted Title Patent Granted Application No.
 “Internet of Things (IOT) based smart grid systems for smart cities” Application Number: 201941041404.
 “Automated Token Based System to Minimize Crowd in a General Post Office”. Application Number :201941044561.

 

Book / Book Chapter Published Details     
Title Publisher Year
Switch Failure Detection in Software Defined Networks Springer, LNCS, Advances in Intelligent Computing 2019
Hybrid Load Balancing Approach for SDN-Enabled M2M Networks Lecture Notes on Data Engineering and Communications Technologies Springer book series (LNDECT, volume 36) 2019
Multi-Class Brain Tumor Classification System in MRI Images Using Support Vector Lecture Notes in Electrical Engineering/Advances in Electrical and Computer Technologies,   Springer 2021
Energy Efficiency Optimization in Clustered Wireless Sensor Networks via Machine Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems, Taylor and Francis Group 2021
Cloud-Based Face and Face Mask Detection System Intelligent Systems and Sustainable Computing. Smart Innovation, Systems and Technologies, vol 289. Springer, Singapore. 2022
Toward Machine Learning and IoT Environment-Enabled Smart Personal Health Monitoring Framework Lecture Notes in Networks and Systems, vol 394. Springer, Singapore. 2022
Other Details
Editorial Experience (if any) Guest Editor, IGI Global Publishers

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