Email: bhavadharini.rm@vit.ac.in
PhD: SNS College of Technology,Anna University, Chennai
Research Area: Mobile AdHoc Networks
| Employee ID | 52261 | ||||
| Intercom | |||||
| Educational details (Please mention all the degrees with latest first) | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2016 | Information and Communication Engineering | SNS College of Technology/Anna University | ||
| M.Tech | 2009 | Computer Science and Engineering | SNS College of Technology/Anna University | ||
| B.E./B.Tech | 2002 | Computer Science and Engineering | VLB Janaki Ammal College of Engineering and Technology/Bharathiyar University | ||
| Research Details | |||||
| Areas of Specialization | Mobile Ad Hoc Networks, Wireless Communication, Internet of Things, Machine Learning, Deep Learning | ||||
| ORCID ID | · https://orcid.org/0000-0002-3096-4885 | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=36709341000 | ||||
| H-index (scopus) | 3 | ||||
| Google Scholar ID | https://scholar.google.co.in/citations?user=qj5doQoAAAAJ&hl=en | ||||
| i10 index | 2 | ||||
| On-going Consultancy Project Details | |||||
| On-going Consultancy Project Title | Funding Agency | ||||
| Patent Published Details | |||||
| Patent Published Title | Patent Published Application No. | ||||
| REAL-TIME INFORMATION AND TRACKING SYSTEM FOR A VEHICLE | 202241020779 A | ||||
| Patent Granted Details | |||||
| Patent Granted Title | Patent Granted Application No. | ||||
| A system for detecting fault in a network and performing recovery management and a method thereof | 2022/01775 | ||||
| Blockchain Technology based IoT Consensus protocol for Smart Home | 2020101466 | ||||
| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| Intelligent Heart Disease Detection and Classification Method Using Optimal Neuro-Fuzzy with Stochastic Gradient Descent Model for Smart Societies (https://onlinelibrary.wiley.com/doi/book/10.1002/9781119841937) | Springer | 2021 | |||
| Investigations on Machine Learning Models to Envisage Coronavirus in Patients (https://onlinelibrary.wiley.com/doi/book/10.1002/9781119841937) | Wiley | 2022 | |||
