Email: csrimathi@vit.ac.in
PhD: Vellore Institute of Technology, Vellore
Research Areas: Machine Learning, Cyber Security, Cloud Computing
| Employee ID | 54759 | ||
| Intercom | |||
| Educational details | |||
| Degree | Passed out year | Specialization | Institute/University/ College |
| PhD | 2012 | Computer Science and Engineering | Vellore Institute of Technology, Vellore |
| M.E | 1999 | Computer Science and Engineering | Madurai Kamaraj University |
| B.E | 1998 | Electrical and Electronics Engineering | Bharathiar Univerisity |
| Research Details | |||
| Areas of Specialization | Machine Learning, Cyber Security, IoT, Cloud Computing | ||
| ORCID ID | https://orcid.org/0000-0002-1146-4447 | ||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=35274624300 | ||
| H-index (scopus) | 8 | ||
| Google Scholar ID | https://scholar.google.com/citations?user=MdMFua8AAAAJ&hl=en&oi=ao | ||
| i10 index | 3 | ||
| On-going Consultancy Project Details | |||
| On-going Consultancy Project Title | Funding Agency:
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| Automate AWS(WAR) Well Architected Review – Security Pillar | SAMSUNG PRISM | ||
| Completed Consultancy Project Details | |||
| Completed Consultancy Project Title | Funding Agency : | ||
| Affective Captioning Model Predicting Positive, Neutral and Negative Reponses
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SAMSUNG PRISM | ||
| IoT Noise Based Predictive Maintenance of Smart Home Devices | SAMSUNG PRISM-CERTIFICATE OF EXCELLENCE | ||
| Create a Cross Identity Video Motion Retargeting Model with Joint Transformation | SAMSUNG PRISM | ||
| GenAI OnDevice Instruction Based Object Addition with Non-Rigid Transformations | SAMSUNG PRISM | ||
| Completed Funded Project Details | |||
| Completed Funded Project Title | Funding Agency: | ||
| Interactive kiosk for farmers using sensor grid based on meta modeling | NRDMS (DST)-2011-2014 | ||
| Enabling Smart and Safe Cities through IoT Technologies | SPARC, MHRD-2019 | ||
| Patent Published Details | |||
| Patent Published Title | Patent Published Application No. | ||
| Self-Driving Car in Smart Environment | 201941035015A Dated 30/08/2019
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