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 ID51328
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2019Software Defined Networks(SDNMadras Institute of Technology / Anna University, Chennai
M.Tech2011Computer Science and Engineering(CSE)Anna University of Technology, Tirunelveli
B.E./B.Tech2009Computer Science and Engineering(CSE)Anna University Chennai
Research Details
Areas of SpecializationNetworking, Software Defined Networks(SDN), Internet of Things(IoT), Cloud Computing, High Performance Computing, Web Technology
ORCID IDhttps://orcid.org/my-orcid?orcid=0000-0002-5863-5047
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=57191364726
H-index (scopus)4
Google Scholar IDhttps://scholar.google.com/citations?user=D1DFwEoAAAAJ&hl=en
i10 index1
On-going Consultancy Project Details
On-going Consultancy Project TitleFunding Agency
Web Based Retail Solution for Solar Energy ProductNatural Towers

(Complete Solar PV Power Solution)

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

Patent Granted Details
Patent Granted TitlePatent 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     
Switch Failure Detection in Software Defined NetworksSpringer, LNCS, Advances in Intelligent Computing2019
Hybrid Load Balancing Approach for SDN-Enabled M2M NetworksLecture 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 VectorLecture Notes in Electrical Engineering/Advances in Electrical and Computer Technologies,   Springer2021
Energy Efficiency Optimization in Clustered Wireless Sensor Networks via MachineMachine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems, Taylor and Francis Group2021
Cloud-Based Face and Face Mask Detection SystemIntelligent 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 FrameworkLecture Notes in Networks and Systems, vol 394. Springer, Singapore.2022
Other Details
Editorial Experience (if any)Guest Editor, IGI Global Publishers