Bidita Sarkar Diba
Lecturer
Love to research and explore new ideas, turning them into meaningful and impactful solutions
Publications
A Multisectoral Study of Mpox Epidemiology, Resistance Surveillance, and Policy Gaps: Toward a One Health Framework
2025From centralization to decentralization: Blockchain’s role in transforming social media platforms
2025Open problems and challenges in federated learning for IoT: A comprehensive review and strategic guide
2025Secure Collaborative Learning for CSV-Based Ovarian Cancer Diagnosis: A Federated Approach
2025Explainable federated learning for privacy-preserving bangla sign language detection
2024Federated learning-based architecture for personalized next emoji prediction for social media comments
2024Research Interest
- Federated Learning (FL)
- Machine Learning (ML)
- Deep Learning (DL)
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Generative AI
- Computer Vision
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Download PDFI am a Lecturer in the Department of Computer Science and Engineering at the University of Asia Pacific (UAP), where I completed both my B.Sc. and M.Sc. in CSE. I graduated with distinction, securing First Class First position among all graduates and was awarded the prestigious Chancellor’s Gold Medal (Fall 2023), along with the Vice Chancellor’s Honor Award in every semester.
My research focuses on Generative AI, LLMs, Federated Learning, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. I have published multiple Q1 journal articles in reputed venues such as Engineering Applications of Artificial Intelligence, Computers and Electrical Engineering and IEEE Access along with contributing book chapters for Elsevier.
Educational Qualification
Master of Science in Computer Science and Engineering
University of Asia Pacific (UAP) | 2025
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Academic Standing: CGPA 3.98 / 4.00 (Batch Rank: 2nd)
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Thesis: Explainable Federated Learning for Privacy-Preserving Bangla Sign Language Detection.
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Core Focus: Designing an explainable federated learning framework for privacy-preserving Bangla sign language detection, enabling accurate gesture recognition while ensuring data security and model transparency.
Bachelor of Science in Computer Science and Engineering
University of Asia Pacific (UAP) | 2024
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Academic Standing: CGPA 3.99 / 4.00 (Batch Rank: 1st || Chancellor’s Gold Medalist)
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Thesis: From Dialect to Digital: Bangla Local Language Generation Using Multilingual Generative AI
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Core Focus: Developing a multilingual pipeline to convert English speech into standard Bangla and subsequently into local dialects, focusing on speech-to-text, low-resource NLP and generative AI for dialect adaptation.
Higher Secondary & Secondary Education
Sylhet Education Board | 2017 – 2019
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Higher Secondary Certificate (HSC), 2015: GPA 5.00 / 5.00 (Science Group)
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Secondary School Certificate (SSC), 2013: GPA 5.00 / 5.00 (Science Group)
Academic Recognition & Expertise
Outstanding Academic Excellence:
Graduated with exceptional academic distinction, securing a CGPA of 3.99/4.00 in undergraduate studies and 3.98/4.00 in postgraduate studies, earning the prestigious Chancellor’s Gold Medal (Fall 2023) along with multiple Vice Chancellor’s Honor Awards.
Advanced Research Trajectory:
Demonstrated a strong and evolving research focus spanning Natural Language Processing, Computer Vision and Generative AI, progressing toward cutting-edge Privacy-Preserving Machine Learning, including Federated Learning, Blockchain integration and Explainable AI.
High-Impact Research Contributions:
Authored and co-authored multiple Q1 journal publications in renowned journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Computers and Electrical Engineering, alongside contributing book chapters in Springer, reflecting consistent research excellence.
Consistent Top Performer:
Maintained an outstanding academic record throughout all levels of education, achieving perfect GPAs in both Secondary and Higher Secondary education and consistently ranking among top students with numerous academic awards.
CSE 102: Computer Fundamentals and Programming Lab
CSE 203: Data Structures and Algorithms I
CSE 204: Data Structures and Algorithms I Lab
CSE 301: Object Oriented Programming II: Visual and Web Programming
CSE 307: Project Strategy and Management
CSE 321: Software Engineering
CSE 404: Artificial Intelligence and Expert Systems Lab
CSE 406: Operating Systems Lab