Date of Joining: 12/8/2014
Nature of Association: Regular
Email: revathi.gk@vit.ac.in
PhD: Sri Sarada College for women (Autonomous), Salem-16, Affiliated to Periyar University, Salem
Research Area: Fuzzy Topology
| Employee ID | 50636 | |||||
| Salutation (Prof./ Dr.) | Dr. | |||||
| Name | G K Revathi | |||||
| Designation | Associate Professor Grade 2 | |||||
| School/Centre | SAS | |||||
| Intercom | 044 3993 1482 | |||||
| Educational details (Please mention all the degrees with latest first) | ||||||
| Degree | Passed out year | Specialization | Institute/University/ College | |||
| PhD | 2013 | Fuzzy Topology | Sri Sarada College For Women (Autonomous), Salem-16 Affiliated to Periyar University. | |||
| M.Phil., | 2010 | Sri Sarada College For Women (Autonomous), Salem-16 Affiliated to Periyar University. | ||||
| M.Sc., | 2007 | Sri Sarada College For Women (Autonomous), Salem-16 Affiliated to Periyar University. | ||||
| B.Sc., | 2005 | Sri Sarada College For Women (Autonomous), Salem-16 Affiliated to Periyar University. | ||||
| Research Details | ||||||
| Areas of Specialization | Fuzzy Topology, Fuzzy Decision making, Fuzzy Inference Systems, Machine learning, Mathematical Modelling, Differential Equation and Topological data Analysis. | |||||
| ORCID ID | 0000-0003-1899-7390 | |||||
| Scopus ID | 56509248600 | |||||
| H-index (scopus) | 2 | |||||
| Google Scholar ID | https://scholar.google.co.in/citations?hl=en&user=NL9ctWAAAAAJ&view_op=list_works&sortby=pubdate | |||||
| Book / Book Chapter Published Details | ||||||
| Title (Chapter-4) | Publisher | Year | ||||
| Beginner’s guide to understand Topolgical Properties of vague sets | RN Publications | |||||
| Identification of Korean wave influenced age group by using MCDM method. Futuristic Trends in Computing Technologies and Data Sciences | IIP Series | 2024 | ||||
| Analysis and prediction of covid-19 in Tamil Nadu. Futuristic Trends in Computing Technologies and Data Sciences | IIP Series | 2024 | ||||
| Predicting the chance of death rate for covid 19 using biomathematical modelling via fuzzy inference system. | Royal Book Publishing International | 2022 | ||||
