Naiwrita Borah

Assistant Professor

Department of Computer Science Engineering

GITAM School of Technology

Bengaluru

Education

Ph. D.

nborah@gitam.edu

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ORCiD

Dr. Naiwrita Borah is an Assistant Professor in Computer Science and Engineering. Her research focuses on Content-Based Image Retrieval (CBIR), pattern recognition, and medical imaging. She has a PhD in CBIR for Assamese script and actively publishes in reputed journals and conferences.

Research Publications

Borah, N., Baruah, U., Ramakrishna, M. T., Kumar, V. V., Dorai, D. R., & Annad, J. R. (2023). Efficient assamese word recognition for societal empowerment: a comparative feature-based analysis. IEEE Access, 11, 82302-82326.
Borah, N., Baruah, U., Dey, B., Thomas, M., Das, S., Pandit, M., ... & Biswas, A. (2023). Enhancing Assamese Word Recognition for CBIR: A Comparative Study of Ensemble Methods and Feature Extraction Techniques. International Journal of Advanced Computer Science & Applications, 14(12).
Borah, N., Varma, P. S. P., Datta, A., Kumar, A., Baruah, U., & Ghosal, P. (2022, December). Performance analysis of breast cancer classification from mammogram images using vision transformer. In 2022 IEEE Calcutta Conference (CALCON) (pp. 238-243). IEEE.
Chutia, D., Borah, N., Baruah, D., Bhattacharyya, D. K., Raju, P. L. N., & Sarma, K. K. (2020). An effective approach for improving the accuracy of a random forest classifier in the classification of Hyperion data. Applied Geomatics, 12, 95-105.
Chandrasekar, V., Shanmugavalli, V., Mahesh, T. R., Shashikumar, R., Borah, N., Kumar, V. V., & Guluwadi, S. (2024). Secure malicious node detection in flying ad-hoc networks using enhanced AODV algorithm. Scientific Reports, 14(1), 7818.

Expertise

Content Based Image Retrieval
Image Processing
Machine Learning
Document Analysis and Recognition
Deep Learning for Medical Imaging