Email: nishavm@vit.ac.in
PhD: VIT Chennai
Research Area: Theoritical computer science and artificial intelligence
| Employee ID | 50036 | ||||
| Intercom | 044 3993 1229 | ||||
| Educational details | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2020 | Cellular Automata | VIT Univerisity | ||
| M.Tech | 2008 | Computer Science and Engineering | Anna University | ||
| B.E./B.Tech | 2004 | Computer Science and Engineering | The Institution of Engineers (India) | ||
| Post-Doctoral Experience if any | nil | ||||
| Research Details | |||||
| Areas of Specialization | Theoretical Computer Science, Artificial intelligence | ||||
| ORCID ID | https://orcid.org/0000-0001-7235-659X | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57200277029 | ||||
| H-index (scopus) | 2 | ||||
| Google Scholar ID | scholar.google.co.in/citations?user=yU18zlwAAAAJ&hl=en | ||||
| i10 index | |||||
| On-going Consultancy Project Details | |||||
| On-going Consultancy Project Title | Funding Agency | ||||
| Human Performance evaluation in automobile industry using deep learning techniques | ALPHABET | ||||
| Completed Funded Project Details | |||||
| Completed Funded Project Title | Funding Agency | ||||
| Identification of infections in Prawns using image processing | DST | ||||
| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| An Efficient Transfer Learning–Based CNN Multi-Label Classification and ResUNET Based Segmentation of Brain Tumor in MRI
|
Taylor & Francis | 2022 | |||
| Major International Collaboration Details – Industry collaboration Details | |||||
| Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration | |||||
| Collaboration with an industry- Name of the industy- ALPHABET, year of collaboration-2020,2021, 2022 | |||||
