Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in
Doctor of Philosophy (Ph.D.) in Computer Science & Engineering
National Institute of Technology (NIT), Silchar, Assam.
Master of Technology (M.Tech.) in Computer Science & Engineering
Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai.
Bachelor of Technology (B.Tech.) in Computer Science & Engineering
Pt. Ravishankar Shukla University (Pt. RSSU), Raipur.
Over 9 years of teaching experience in Computer Science & Engineering at the undergraduate and postgraduate levels.
. DST-SERB SPONSOREDONE-WEEKHIGH ENDWORKSHOP(Karyashala) on ’Hands on Training on Computational Intelligence
for Health Informatics and Wearable Device Data Analysis by NIT Silchar and under Vigyan Scheme
•Machine Learning and Computer Vision Applications, Research Challenges: MLCV-2020 by NIT Silchar and Guwahati University.
M. Roy and U. Baruah,
“Enhancing medical image classification through controlled diversity in ensemble learning,”
Engineering Applications of Artificial Intelligence, Vol. 133, p. 108138, 2024.
DOI: 10.1016/j.engappai.2024.108138
M. Roy, U. Baruah, and V. Varma,
“TransDL: A transfer learning-based concatenated model for COVID-19 identification and analysis of posteroanterior chest X-ray images,”
Multimedia Tools and Applications, Springer, pp. 1–23, 2023.
DOI: 10.1007/s11042-023-16825-5
M. Roy and U. Baruah,
“Challenges in COVID-19 detection and the imperative for improved methods,”
Presented at 2nd Hinweis International Conference on Advanced Research in Engineering and Technology (ARET 2024).
Scopus Indexed – Accepted, 2024
