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Faculty of Engineering

Computer Science and Engineering

Research

Academic papers and publications by the faculty of the Department of Computer Science and Engineering.

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

    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
    Conference Proceedings
  2. Automated Classification of Diseased Cauliflower: A Feature-Driven Machine Learning Approach

    Automated Classification of Diseased Cauliflower: A Feature-Driven Machine Learning Approach

    M. R. Barman et al

    TELKOMNIKA (Telecommunication Computing Electronics and Control), 2024. [Scopus Indexed]

    2024
    Journal Article
  3. Potential risks of using Advanced Driver Assistance Systems (ADAS) on Wuling Almaz as a media for Chinese espionage in Indonesia

    Potential risks of using Advanced Driver Assistance Systems (ADAS) on Wuling Almaz as a media for Chinese espionage in Indonesia

    Bagus Tri Wibowo, Diky Zakaria, Armi Susandi, Maya Rahayu, Md. Biplob Hossain, and Tajul Miftahushudur

    2024
    Journal Article
  4. A real-time application-based convolutional neural network approach for tomato leaf disease classification

    A real-time application-based convolutional neural network approach for tomato leaf disease classification

    Showmick Guha Paul, Al Amin Biswas, Arpa Saha, Md. Sabab Zulfiker, Nadia Afrin Ritu, Ifrat Zahan, Mushfiqur Rahman, Mohammad Ashraful Islam

    Array, vol. 19, p. 100313, Sep. 2023, (WoS, Scopus, Q1, Impact Factor 4.5)

    2023
    Journal Article
  5. Survival Forecasting of Breast Cancer Patients Using Advanced Machine Learning Approaches

    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
    Conference Proceedings
  6. Design and Performance Enhancement of a Wireless Microstrip Patch Antenna at 2.4 GHz
    2024
    Journal Article
  7. A Comprehensive Review of Green Computing: Past, Present, and Future Research

    A Comprehensive Review of Green Computing: Past, Present, and Future Research

    S. G. Paul et al

    in IEEE Access, vol. 11, pp. 87445-87494, 2023. [DBLP, Scopus Indexed]

    2023
    Journal Article
  8. Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

    Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

    Showmick Guha Paul, Arpa Saha, Al Amin Biswas, Md. Sabab Zulfiker, Mohammad Shamsul Arefin, Md Mahfujur Rahman, Ahmed Wasif Reza

    Array, vol. 17, p. 100271, Mar. 2023, (WoS, Scopus, Q1, Impact Factor 4.5)

    2023
    Journal Article
  9. Bifurcations and optimal control in Nipah virus epidemiology

    Bifurcations and optimal control in Nipah virus epidemiology

    Zasmin Haque, Md Mashih Ibn Yasin Adan, Md Sabab Zulfiker, Faizunnesa Khondaker, Md Kamrujjaman

    PLoS One 21(3): e0342764. (WoS, Scopus, Q1, Impact Factor 3.2)

    2026
    Journal Article
  10. Hybrid Deep Learning with Uncertainty Quantification for Robust Detection of Acute Lymphoblastic Leukemia in Blood Smear Images

    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
    Conference Proceedings