Sadia Jannat Mitu

Experience

Research Interests

Research Profiles

• ResearchGate

Journal Article (3)

1. Integrated prognostic framework for survival status, Cancer stages and time estimation in hepatocellular carcinoma using machine learning approaches

   Sadia Jannat Mitu*, Syada Tasmia Alvi, Mohammed Nasir Uddin, Md. Ashraf Uddin

   Journal of Genetic Engineering and Biotechnology, August 2026 2026 DOI

2. Deep learning-based binary detection and multiclass subtyping of non-small cell lung cancer with model interpretability

   Sadia Jannat Mitu*, Md.Ferdous Jaman, Somaia Sarmin Shouma, Mohammed Nasir Uddin, Md. Ashraf Uddin

   August 2026, Informatics in Medicine Unlocked 65:101789 2026 DOI

3. 4mC-CGRU: Identification of N4-Methylcytosine (4mC) sites using convolution gated recurrent unit in Rosaceae genome

   Abida Sultana, Sadia Jannat Mitu, Md Naimul Pathan, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal

   Computational Biology and Chemistry 107(2):107974 2024

Conference Proceedings (12)

1. An Explainable Hybrid Shallow CNN-VGG16 Architecture for Trustworthy Pneumonia Detection in Chest X-rays

   S. J. Mitu, S. T. Alvi, and M. R. Alam

   2026 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2026 2026

2. An Efficient Deep Learning Framework for Lung Cancer Detection: Addressing Class Imbalance With Generative Adversarial Network

   S. J. Mitu, N. J. Oyshi and M. R. Alam

   2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), Chittagong, Bangladesh, 2026, pp. 1-6 2026 DOI

3. Survival Forecasting of Breast Cancer Patients Using Advanced Machine Learning Approaches

   S. J. Mitu, S. T. Alvi and M. B. Chowdhury

   2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2025, pp. 353-358 2025 DOI

4. Hybrid Deep Learning with Uncertainty Quantification for Robust Detection of Acute Lymphoblastic Leukemia in Blood Smear Images

   S. J. Mitu, M. F. Jaman, S. S. Shouma and M. Parvin

   2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2025, pp. 325-330 2025 DOI

5. Ensemble Deep Learning of CNN and Vision Transformers for Accurate Multi-Class Gallbladder Disease Detection

   S. J. Mitu, M. Bashar Chowdhury and M. R. Alam

   2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2025, pp. 388-393 2025 DOI

6. Survival and Stage Prediction in Hepatocellular Carcinoma Using Machine Learning: A Two-Stage Fusion-Based Framework

   S. J. Mitu, S. T. Alvi, M. N. Uddin and M. A. Islam

   2025 9th International Conference On Electrical, Electronics And Information Engineering (ICEEIE), Mataram, Indonesia, 2025, pp. 1-6 2025 DOI

7. An Efficient Machine Learning Framework for Panic Disorder Detection: Addressing Data Imbalance with SMOTE to Reduce False Negatives

   N. S. Joya, S. Biswas, S. J. Mitu, R. Khatun and M. M. Islam

   2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6 2025 DOI

8. A Robust Deep Learning Approach for Automated Cardiovascular Disease Diagnosis Using ECG Image Analysis

   M. D. A. Shiam Shanto, M. Ferdous Jaman and S. J. Mitu

   2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2025, pp. 405-410 2025 DOI

9. DeepLungBalance: Addressing Class Imbalance in Deep Learning-Based Lung Cancer Detection with Explainable AI and Prototype Deployment

   M. F. Jaman, S. S. Shouma, Morium and S. J. Mitu

   2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), Chittagong, Bangladesh, 2026, pp. 1-6 2026 DOI

10. A Comprehensive Study of Microservices Architecture in Comparison with SOA and Monolithic Models

    C. A. Anjum Era, S. T. Alvi, M. S. Rana and S. J. Mitu

    2025 2nd International Conference on Advanced Innovations in Smart Cities (ICAISC), Jeddah, Saudi Arabia, 2025, pp. 1-6 2025 DOI

11. MRI Based Brain Tumor Detection Comprising a Hybrid Segmentation Technique

    J. Akonda, S. T. Alvi, C. A. A. Era, S. J. Mitu and M. N. Uddin

    2024 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2024, pp. 1-6 2024 DOI

12. Deep Learning-Based Breast Cancer Classification: A Comprehensive Study on Mammogram Images

    S. Ahmed, S. S. Shouma, M. Ferdous Jaman and S. J. Mitu

    2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2026, pp. 1-6 2026 DOI

Published Books (1)

1. StrokeNetBench: A Comparative Framework of Deep Architectures for Stroke Detection and Classification

   Mashuka Bashar Chowdhury1, Sadia Jannat Mitu1, *

   June 2026 2026 DOI

Awards

• Dean's Award Jagannath University Bangladesh, 2024
• Best Mentor, Mentoring Management System Daffodil International University Bangladesh, 2024
• National Science and Technology (NST) Fellowship(2023-2024) Ministry of Science and Technology Bangladesh, 2024
• University Merit Scholarship Jagannath University Bangladesh, 2024
• Listed of Honor Prime Minister Gold Medal(2023) Jagannath University Bangladesh, 2023
• University Grants Commission Scholarship Faculty of Science, Jagannath University Bangladesh, 2023