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Dr. Vergin Raja Sarobin M

Associate Professor


PhD: VIT Chennai

Research Area: IoT, Artificial Intelligence

Employee ID50138
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2018Wireless Sensor NetworkVIT Chennai
M.Tech2007Computer ScienceAnna University
B.E./B.Tech2004EEEM.S University
Post-Doctoral Experience if anyyes
Research Details
Areas of SpecializationIoT, AI
Scopus ID
H-index (scopus)5
Google Scholar ID
i10 index3
Patent Published Details
Patent Published TitlePatent Published Application No.
Automated Sewage Channel Blockage Detection System202141020912 A
Book / Book Chapter Published Details
Automated Health Monitoring system using IoT for improving healthcareCRC Press2022
Machine Learning Based Intrusion Detection for IoTCRC Press2022
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Sanket S, Vergin Raja Sarobin M, Jani Anbarasi L, Thakor J, Singh U, Narayanan S. Detection of novel coronavirus from chest X-rays using deep convolutional neural networks. Multimed Tools Appl. 2021 Sep 8:1-26. doi: 10.1007/s11042-021-11257-5. Epub ahead of print. PMID: 34512112; PMCID: PMC8423603.


Chazhoor, A., Sarobin, V.R. Intelligent automation of invoice parsing using computer vision techniques. Multimed Tools Appl (2022).


Major International Collaboration Details – Industry collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration
Narendra, M., Valarmathi, M.L., Anbarasi, L.J. et al. High embedding capacity in 3D model using intelligent Fuzzy based clustering. Neural Comput & Applic (2022).


B. Abhishek, Rukmani Panjanathan, Vergin Raja Sarobin, Benson Edwin Raja, Modigari Narendra,

Data security in e-health monitoring system, Materials Today: Proceedings,

Volume 62, Part 7, 2022, Pages 4620-4628,ISSN 2214-7853,


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