NITER

Umme Sara is a faculty of computer science and engineering department at National Institute of Textile Engineering & Research (NITER). At now, she is serving as head of the department of computer science and engineering.

She holds her bachelor and master's degree from the department of CSE of Jahangirnagar University in 2014 and 2016 respectively. Currently she is an ongoing PhD researcher at the same institution. Her research area includes computer vision system, digital image processing, machine learning and data science.

Sara began working as a lecturer in this institution in October 2015.Before joining at NITER, she served as a lecturer at Gono University, Savar, Dhaka. She has also been the Superintendent of NITER Female Hostel's since 2020. Umme Sara is currently the member of NITER Coordination & Development Committee.

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Degree Name	Group/Major Subject	Board/Institute	Country	Passing Year
M.Sc.	CSE	Jahangirnagar University	Bangladesh	2016
B.Sc.	CSE	Jahangirnagar University	Bangladesh	2014

Title	Organization	Location	From Date	To Date
Lecturer	Gono Bishwabidyalaya	Savar,Dhaka	03/13/2014	10/12/2015
Lecturer	National Institute of Textile Engineering and Research (NITER)	Nayarhat,Savar,Dhaka	10/13/2015	03/02/2020
Assistant Professor	National Institute of Textile Engineering and Research (NITER)	Nayarhat,Savar,Dhaka	03/03/2020	Continue

Research Interest

Subject	Description	Research Interest (Goal, Target Indicator)
Automatic Disease Detection (Vegetables and Agricultural Crops)	Digital image processing, Pattern Recognition, Feature Extraction Texture Analysis and image quality analysis on vegetables and agricultural crops image data	PhD program Curriculum
Computer Vision System	Computer Vision System to disease diagnosis and fault detection using machine learning and Deep Learning approach	Current Research proposal Title-1
Pattern Recognition System	Using Pattern Recognition and classification to extract features and ranking them to diagnose successfully the diseases of vegetables and Agricultural	Current Research proposal Title-2

Project/Research Supervision

Level of Study	Title	Supervisor	Co-Supervisor(s)	Name of Student(s)	Area of Research	Current Completion
No project/research supervision is found

Project/Research Work

Subject	Project Name	Source of Fund	From Date	To Date	Collaboration
No project/research work is found

Invited Talk

SL	Invited Talk
No invited talk is found

Collaboration & Membership Name	Type	Membership Year	Expire Year
No Data Found

Journal Article
1	Sara, U., & Tashrif, M. T. A. (2025). Privacy-Preserving Text Summarization through Differentially Private Federated Learning with Transformer Models. View Link
2	Abrar, J. M. A. K., Tashrif, M. T. A. T., Mahir, S. H. M., Sara, U. S., & Shorif, M. S. U. (2025). Emotion Recognition from Bangla Dialect Speech using Privacy-Aware Deep Learning Models: A Comparative Analysis. Visit Link
3	Utpol Das, Umme Sara et al. “Enhancing Sentiment Analysis Accuracy on Social Media Comments Using a Tuned BERT Model,” Visit Link
4	Umme Sara et al. “Automated Skin Cancer Classification and Detection Using Convolutional Neural Networks and Dermoscopy Images,” Visit Link
5	Sara, U., Rajbongshi, A., Shakil, R., Akter, B., & Uddin, M. S. (2022). VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system. Data in Brief, 43, 108422. Visit Link
6	Sara, U., Rajbongshi, A., Shakil, R., Akter, B., Sazzad, S., & Uddin, M. S. (2022). An extensive sunflower dataset representation for successful identification and classification of sunflower diseases. Data in brief, 42, 108043. Visit Link
7	Rahman, A., Montieri, A., Kundu, D., Karim, M. R., Islam, M. J., Umme, S., ... & Pescapé, A. (2022). On the integration of blockchain and sdn: Overview, applications, and future perspectives. Journal of Network and Systems Management, 30(4), 73. Visit Link
8	Rajbongshi, A., Sazzad, S., Shakil, R., Akter, B., & Sara, U. (2022). A comprehensive guava leaves and fruits dataset for guava disease recognition. Data in Brief, 42, 108174. Visit Link
9	Islam, S., Sara, U., Kawsar, A., Rahman, A., Kundu, D., Dipta, D. D., ... & Hasan, M. (2021). Sgbba: An efficient method for prediction system in machine learning using imbalance dataset. International Journal of Advanced Computer Science and Applications, 12(3). Visit Link
10	Rahman, A., Sara, U., Kundu, D., Islam, S., Islam, M. J., Hasan, M., ... & Nasir, M. K. (2020). Distb-sdoindustry: Enhancing security in industry 4.0 services based on distributed blockchain through software defined networking-iot enabled architecture. arXiv preprint arXiv:2012.10011. Visit Link
11	Sara, U., Akter, M., & Uddin, M. S. (2019). Image quality assessment through FSIM, SSIM, MSE and PSNR—a comparative study. Journal of Computer and Communications, 7(3), 8-18. Visit Link

Conference Proceedings
1	[ICCCNT’22] B. Akter, U. Sara et al.Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach. 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Scopus, India, 2022, pp. 1-6, View Link
2	[ICSSIT’22] B. Akter, U. Sara et al. A Machine Learning Approach to Detect the Brain Stroke Disease. 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Scopus, India 2022, pp. 897-901, View Link

Award Type	Title	Year	Country	Description
National	Research Grant - 2023	2023	Bangladesh	Awarded by NITER CRIR (Center for Research and Industrial Relation) Research Grant - 2023 on " Implementation of Vision Transformer (ViT) in Image Processing: A robust approach in the multiscale object detection."

Academic

Mail: usara@niter.edu.bd

Contact: +880 1674 668366;

Workstation : AC-103, C-2

Institute – Faculty

Name of the Department: Computer Science and Engineering

Position: Assistant Professor