Department of Computer Science and Engineering

Md. Ferdous

Blood Group:

Lecturer

Phone: 8801721250385

E-mail: md.ferdous@gstu.edu.bd, md.ferdous.kuet@gmail.com

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Current Research working Topic


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Short Biography


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Current Research


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Research Interests


  • Computer Vision and Image Processing Machine Learning Tele-Robotics Natural Language Processing Human Computer Interaction

Degree Name Group/Major Subject Board/Institute Country Passing Year
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Master of Science in Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna-9203.

Bachelor of Science in Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj

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Title Organization

Lecturer, Uttara University

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Course Material


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Publication TypePublication TitlePublished Year
Publications1. Ferdous, Md, and Sk Md Masudul Ahsan. "PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites." PeerJ Computer Science 8 (2022): e999.

2. Ferdous, Md, and Sk Md Masudul Ahsan. "A computer vision-based system for surgical waste detection." International Journal of Advanced Computer Science and Applications 13.3 (2022).

3. Ferdous, Md, and Sk Md Masudul Ahsan. "Multi-scale safety hardhat wearing detection using deep learning: a top-down and bottom-up module." 2021 international conference on electrical, communication, and computer engineering (ICECCE). IEEE, 2021.

4. Mahmud, Saifuddin, Md Ferdous, Redwanul Sourave, Mohammad Insanur Rahman Shuvo, and Jong-Hoon Kim. "An Essential Robot Vision System for Robot Assisted Plant Disaster Prevention and Response Missions." In 2022 25th International Conference on Computer and Information Technology (ICCIT), pp. 1116-1121. IEEE, 2022.

5. Peya, Zahrul Jannat, Md Ferdous, M. A. H. Akhand, Mohammed Golam Zilani, and Nazmul Siddique. "ASD Detection using Higuchi’s Fractal Dimension from EEG." In 2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), pp. 22-25. IEEE, 2021.

6. Sikder, Md Fahim, Md Ferdous, Shraboni Afroz, Uzzal Podder, Kaniz Fatema, Mohammad Nahid Hossain, Md Tahmid Hasan, and Mrinal Kanti Baowaly. "Explainable Bengali Multiclass News Classification." In 2023 26th International Conference on Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2023.

Book/Book Chapter

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