DR. ROSY SARMAH

Contact Details

  Curriculum Vitae  

Qualification

• Ph. D. in Computer Science from Tezpur University in 2011

Areas of Specialization

• Computational Biology
• Image Processing
• Data Science

Research Publications

• Publications

Some Recent Publications

• BJ Singha, N Jitani, R Sarmah, DK Bhattacharyya, "EIMF: An Enhanced Iterative Mean Filter for Effective Denoising of Medical CT Images". SN Computer Science 6 (5), 449, 2025
• S Paul, M Rahman, A Dolley, K Saikia, CS Singh, A Mohammed, G. Muteeb, R. Sarmah, ND Namsa"A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children". PeerJ 13, e19025, 2025
• R Sarmah, Ramakrishnananda, PS Katiyar, "Employing Grad-CAM in DL Models for Tumor Segmentation and Visual Explanation: An Empirical Study." International Conference on Data Science and Applications, 477-488 2024
• PS Katiyar, R Sarmah, "VU-NET: An Explainable AI Approach For Liver Segmentation", 15th International Conference on Computing Communication and Networking, pp. 1-7, 2024
• N Jitani, BJ Singha, G Barman, A Talukdar, R Sarmah, DK Bhattacharyya, Medical image segmentation using automated rough density approach, Multimedia Tools and Applications 83 (13), 39677-39705, 2024
• RK Prasad, R Sarmah, S Chakraborty, "NNVDC: A new versatile density-based clustering method using k-Nearest Neighbors." Expert Systems with Applications 227, 120250, 2023
• RK Prasad,S Chakraborty,R Sarmah,"Impact of distance measures on partition-based clustering method—an empirical investigation." International Journal of Information Technology 15.2, 627-642, 2023
• K Mandal, R Sarmah,"SGAClust: Semi-supervised graph attraction clustering of gene expression data." Network Modeling Analysis in Health Informatics and Bioinformatics 11.1, 2022
• RK Prasad, S Chakraborty, R Sarmah, Lockdown Phases and Changing Clusters of Indian States with Respect to Number of Cases of COVID-19,Smart Intelligent Computing and Applications, Volume 2,2022
• K Mandal, R Sarmah, DK Bhattacharyya, POPTric: Pathway-based Order Preserving Triclustering for gene sample time data analysis, Expert Systems with Applications 192, 116336, 2022.
• N Jitani, B Singha, G Barman, A Talukdar, BK Choudhury, R Sarmah, Gallbladder CT Image Segmentation by Integrating Rough Entropy Thresholding with Contours, Advanced Computational Paradigms and Hybrid Intelligent Computing, 651-659, 2022.
• K Mandal, R Sarmah, DK Bhattacharyya, JK Kalita, B Borah, Rank-preserving biclustering algorithm: a case study on miRNA breast cancer, Medical & Biological Engineering & Computing 59 (4), 989-1004, 2021.
• P Patowary, R Sarmah, DK Bhattacharyya, Developing an effective biclustering technique using an enhanced proximity measure, Network Modeling Analysis in Health Informatics and Bioinformatics 9 (1), 1-17, 2021
• K Mandal, R Sarmah, DK Bhattacharyya, POPBic: Pathway-based Order Preserving Biclustering algorithm towards the analysis of gene expression data, IEEE/ACM Transactions on Computational Biology and Bioinformatics 18, 2020.
• M Haque, R Sarmah, DK Bhattacharyya, A common neighbor based technique to detect protein complexes in PPI networks,Journal of Genetic Engineering and Biotechnology 16 (1), 227-238, 2019
• K Mandal, R Sarmah, DK Bhattacharyya, Biomarker identification for cancer disease using biclustering approach: An empirical study, IEEE/ACM transactions on computational biology and bioinformatics 16, 2018.
• S Keretsu, R Sarmah, Identification of protein complexes in protein-protein interaction networks by core-attachment approach incorporating gene expression profile, International Journal of Bioinformatics Research and Applications 13, 2017
• S Keretsu, R Sarmah, Weighted edge based clustering to identify protein complexes in protein–protein interaction networks incorporating gene expression profile, Computational Biology and Chemistry 65, 69-79, 2016.
(Detail in the CV)

Softwares Developed

• Shared Resources

Courses Taught

• Courses Taught

Experience

• Faculty, Dept. of CS & Engg., Tezpur University since 2009
• Faculty, DOEACC Programme, Tezpur University, 2006-2008
• Faculty, Dept of MCA, Jorhat Engineering College, 2004-2005.

Teaching

• Computer Graphics
• Data Mining & Data Warehousing
• Software Engineering
• Data Structures
• Data Structures & Object Oriented Programming

About

Dr. Rosy Sarmah is an Assistant Professor in the Dept. of Computer Science and Engineering, Tezpur University, Tezpur, India. She received her Ph.D. (Computer Science) from Tezpur University in the year 2012. Her research interests include Image Processing, Clustering and Bioinformatics. Till 2010, she held the surname of Das and her published papers were under the name of Rosy Das. She has published a book titled "Clustering Techniques in Spatial Data Analysis". She has a total of 14 international journal papers, 08 book chapters and 12 international conference papers.