| Specialization: |
|---|
| Artificial Intelligence, Machine Learning, Case-based Reasoning |
| Education | Board/University | Percentage | Div | Rank |
| AISSE (10th) | CBSE | 86.4 | Ist | -- |
| AISSCE (12th) | CBSE | 81.2 | Ist | -- |
| B.Sc (Computer Science) | Assam University, Silchar (A Central University) | 74 | Ist | First Class First (Gold Medal) |
| M.Sc (Computer Science) | Assam University, Silchar (A Central University) | 78.88 | Ist | First Class Second |
| Ph.D | Assam University, Silchar (A Central University) | -- | -- | -- |
Qualified UGC-NET (December 2012) for Lectureship with 60.57% marks.
| Institution | Designation | Duration | Role |
| GLA University (NAAC A+ Accredited), Mathura |
Assistant Professor | March, 2022 - March, 2023 | Teaching and Research |
| Assam University, Silchar | Guest Faculty | April, 2013 – February, 2014 | Teaching and Research |
| Assam University, Silchar | Teaching Assistant |
September, 2011 – February, 2013 |
Teaching and Research |
| Guru Charan College, Silchar | Lecturer |
September, 2008 – September, 2011 |
Teaching |
| Assam University, Silchar | Demonstrator | April, 2005 – April, 2008 | Teaching |
Rakshit, R. D., Dev, D. S., Choudhury, N., & Kisku, D. R. (2023). Biometric-based computer vision for boundless possibilities: process, techniques, and challenges. Intelligent Multimedia Processing and Computer Vision: Techniques and applications, 64, The Institution of Engineering and Technology, London, United Kingdom.
Dev, D. S., Rakshit, R. D., Choudhury, N., & Kisku, D. R. (2023). Machine learning and revolution in agriculture: past, present and future. Intelligent Multimedia Processing and Computer Vision: Techniques and applications, 64, The Institution of Engineering and Technology, London, United Kingdom.
Kumar, M., Gangadharan, S. M. P., Choudhury, N (2023). Machine learning model for teaching and emotional intelligence, In Garg & Koundal [Eds.], Emotional AI and Human-AI Interactions in Social Networking, Elsevier Science. Paperback ISBN: 9780443190964, eBook ISBN: 9780443190971.
Choudhury, N. & Begum, S. A. (2020). Neuro-fuzzy-rough classification for improving efficiency and performance in case-based reasoning retrieval. In Pant, M. et al. [Eds.], Computational Network Application Tools for Performance Management, Asset Analytics, Springer Nature Singapore Pte Ltd. ISBN: 978-981-32- 9584-1.
(Google Scholar Citation count: 3)
Choudhury, N. & Begum, S. A. (2017). The role of fuzzy logic in case-based reasoning: A survey, Indian Journal of Computer Science and Engineering, 8(3), 333–340. ISSN: 0976-5166. [Indexed in Scopus, UGC CARE List II]
(Google Scholar Citation count: 7)
Choudhury, N. & Begum, S. A. (2017). Classification in the retrieval phase of case-based reasoning, International Journal of Advanced Research in Computer Science, 8(5), 1728–1731. ISSN: 0976-5697.
Choudhury, N. & Begum, S. A. (2016). A survey on case-based reasoning in medicine, International Journal of Advanced Computer Science and Applications, 7(8), 136–144. ISSN: 2156-5570. [Indexed in Clarivate Emerging Sources Citation Index, Web of Science, Thomson Reuters; Scopus]
(Google Scholar Citation count: 82)
Choudhury, N. & Begum, S. A. (2013). Case-based reasoning in medical diagnosis: An overview, In Proceedings of the 1st National Conference on Research & Higher Education in Information Technology (RHEIT, 2013), 81–86.