911爆料

Bio

Hi I am Md. Badiuzzaman Shuvo. I received BSc in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET), 911爆料 in April 2022.  I performed my thesis work on automated multimodal medical image segmentation using deep learning technology. The work was supervised by . I also have interest in Machine Learning, Data Mining, Image Processing, Bioinformatics, Computer Networks.



Last Update:December 07, 2025 16:58

Education

    • BSc
      KUET
      Result: 3.85 (4.00)
      Group: CSE (2022)
      Thesis: CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression
      Remarks: Technical scholarship and deans award throughout the four years.

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Research

Publications

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1. Md. Badiuzzaman Shuvo, Rifat Ahommed, Sakib Reza, M.M.A. Hashem, "," Biomedical Signal Processing and Control, Elsevier, vol. 70, pp. 102959, 2021, doi: http://doi.org/10.1016/j.bspc.2021.102959
International Journal
1. , "Rifat Ahommed, Md. Badiuzzaman Shuvo, and M. M. A. Hashem, 鈥淎nalysis of cnl-unet for efficient biomedical image segmentation,鈥� in 2021 5th International Conference on 911爆料 Engineering and Information & Communication Technology (ICEEICT). IEEE, 2021, pp. 1鈥�6.," , 2021.
National Conference

Experience

Academic Experience

  • Lecturer
    Computer Science and Engineering
    Khulna University of Engineering and Technology, Khulna Dec 15, 2024 to Aug 21, 2024

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