Email: thomasabraham.jv@vit.ac.in
PhD: VIT Chennai
Research Area: Speaker Recognition, AI, Deep Learning, Machine Learning
| Employee ID | 50177 | ||||
| Intercom | 044 3993 1287 | ||||
| Educational details | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2022 | Speaker Recognition, Deep Learning | Vellore Institute of Technology Chennai | ||
| MCA | 1999 | Computer Applications | Presidency College, University of Madras | ||
| B.Sc. | 1996 | Statistics with Computer | Loyola College, University of Madras | ||
| Post-Doctoral Experience if any | |||||
| Research Details | |||||
| Areas of Specialization | Speaker Recognition, Deep Learning, Machine Learning | ||||
| ORCID ID | https://orcid.org/0000-0003-0418-4057 | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57195103216 | ||||
| H-index (scopus) | 2 | ||||
| Google Scholar ID | Provide the link not just the ID – It should direct to your Google Scholar page | ||||
| i10 index | 0 | ||||
| Patent Published Details | |||||
| Patent Published Title | Patent Published Application No. | ||||
| IoT Based Automatic Steam Inhalation Machine For The Public (COVID ASIM) | 202141060899 | ||||
| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| Systematic approach to deal with internal fragmentation and enhancing memory space during covid-19 | Auerbach Publications, Taylor & Francis Group | 2021 | |||
| Performance evaluation of guest operating system following obliteration of pre-installed features | Springer | 2019 | |||
