Dr. Nabanita Choudhury

Dr. Nabanita Choudhury

About

Specialization:
Artificial Intelligence, Machine Learning, Case-based Reasoning

Qualification

 

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) -- -- --

 

 

 

 

 

 

 

  • Certified in Artificial Intelligence and Deep learning, a 6 months online certification course conducted by IIT Roorkee, June 2022.
  • Qualified UGC-NET (December 2012) for Lectureship with 60.57% marks.

 

 

Personal Interest

Reading and Creative Writing

Working Experience

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

 

Research

Sharma, K., Shah, H.A., Choudhury, N. et al. Improved medical science image filtering with a novel neural network technique. Int J Syst Assur Eng Manag (2025). https://doi.org/10.1007/s13198-024-02667-3

Paper titled “Enhancing Rehabilitation Outcomes: A Hybrid Cognitive-Machine Learning Approach” accepted in IEEE sponsored 9th International Conference on Communication and Electronics Systems (ICCES-2024), to be held during 16th December to 18th December, 2024 (to be published in Scopus indexed proceedings)

Paper titled “Precision Health: Maximizing Well-being with IAHN Integration” accepted in IEEE sponsored 3rd International Conference on Automation, Computing and Renewable Systems, to be held during 4th December to 6th December, 2024 (to be published in Scopus indexed proceedings)

Paper titled “A Hybrid Optimal Strategy for Improved Seat Selection and Revenue Growth of the Rental Vehicles” accepted and presented in 5th Congress on Intelligent Systems (CIS 2024), organised by Christ (Deemed to be University), Bengaluru and Liverpool Hope University, UK during 4th and 5th September, 2024 (to be published in Scopus indexed proceedings) 

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. (Google Scholar Citation count: 1)

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: 4)

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: 84)

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.

Awards & Achievements

Awards

  • Gold Medalist in B. Sc (Computer Science) from Assam University, SIlchar
  • Awardee - Hrishikesh Saha Memorial Scholarship for securing highest rank in Dept. of Computer Science, Assam University, Silchar.

Certifications and Badges

  • Certified Peer Reviewer, Elsevier Research Academy, November 2024
  • Applied Generative AI Certification, Infosys Springboard, November 2024
  • Google Advanced Data Analytics Professional Certificate (7 courses), online non-credit professional certificate, April 2024
  • Micro-Certification - Welcome to ServiceNow, August 2023
  • Google Data Analytics Professional Certificate (8 courses), online non-credit professional certificate, July 2023
  • IBM Machine Learning with Python, online non-credit course, July 2023
  • IBM Cognos Analytics V11.1.x Reporting Essentials Badge, May 2023