Faculty Details

Md. Apu Hosen

Md. Apu Hosen

Department Computer Science and Engineering
Designation Senior Lecturer
Email [email protected]
Phone +8801948085306
Website

EDUCATION

Master of Science in Engineering (M.Sc) in CSE

Name of the University : Jashore University of Science and Technology

Year of Passing : Ongoing

Subject : CSE

Result : 3.79 (Out of 4.00)

Position : 3rd

Bachelor of Science in Engineering (B.Sc) in CSE

Name of the University : Jashore University of Science and Technology

Year of Passing : 2020

Subject : CSE

Result : 3.57 (Out of 4.00)

Position : 3rd

Higher Secondary Certificate (H.S.C)

Name of the Institution : Shailkupa Govt. Degree College

Board : Jashore

Year of Passing : 2016

Group : Science

Result : 5.00 (Out of 5.00)

Secondary School Certificate (S.S.C)

Name of the Institution : Shailkupa Pilot High School

Board : Jashore

Year of Passing : 2013

Group : Science

Result : 4.94 (Out of 5.00)

WORK EXPERIENCE

  • Designation: Trainee Engineer
  • Institution: Business Automation Limited
  • Duration: 22 December 2021 to 21 March 2022
  • Designation: Lecturer, Dept. of CSE
  • Institution: Northern University of Business & Technology Khulna
  • Duration: 31 March 2022 to date

PUBLICATIONS
1. Md. Apu Hosen, Syed Md. Galib (2025). Quality and shelf-life prediction of cauliflower using machine learning under vacuum and modified atmosphere packaging. International Journal of Artificial Intelligence, 14(2), 907–916. https://doi.org/10.11591/ijai.v14.i2.pp907-916.
2. Md. Apu Hosen, Moz, S. H., Kabir, S. S., Adnan, M. N., & Galib, S. M. (2024). In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform. Indonesian Journal of Electrical Engineering and Computer Science, 33(1), 581–590. https://doi.org/10.11591/ijeeecs.v33.i1.pp581-590.
3. Md. Apu Hosen, Moz, S. H., Kabir, S. S., Adnan, M. N., & Galib, S. M. (2023). Enhancing Thyroid Patient Dietary Management with an Optimized Recommender System based on PSO and K-means. Procedia Computer Science, 230, 688–697. https://doi.org/10.1016/j.procs.2023.12.124.
4. Md. Apu Hosen, Moz, S. H., Khalid, M. M. H., Kabir, S. S., & Galib, S. M. (2023). Face recognition-based attendance system with anti-spoofing, system alert, and email automation. Radioelectronic and Computer Systems, 2, 119–128. https://doi.org/10.32620/reks.2023.2.10. 
5. Md. Apu Hosen, Moz, S. H., & Adnan, M. N. (2023, July). An innovative two-way recommender system for students and teachers. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–5). IEEE. https://doi.org/10.1109/ICCCNT56998.2023.10307697.
6. Md. Apu Hosen, Moz, S. H., & Akber, M. A. (2023, July). Design and implementation of a distributed network management system for a multi-branch university using GNS3. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–7). IEEE.
https://doi.org/10.1109/ICCCNT56998.2023.10307357. 
7. Kabir, S. S., Md. Apu Hosen, Moz, S. H., & Galib, S. M. (2024). MPCNN: A novel approach for detecting human Monkeypox from skin lesion images leveraging deep neural network. Indonesian Journal of Electrical Engineering and Computer Science, 36(3), 1573–1582. https://doi.org/10.11591/ijeeecs.v36.i3.pp1573-1582.
8. Moz, S. H., Md. Apu Hosen, Santo, M. N. S., Kabir, S. S., Adnan, M. N., & Galib, S. M. (2024). Precision cardiodiet: Transforming cardiac care with AI-driven dietary recommendations. Radioelectronic and Computer Systems, (4), 19–29. https://doi.org/10.32620/reks.2022.4.02. 
9. Moz, S. H., Md. Apu Hosen, & Tanny, N. F. I. (2023, April). Campus network configuration, monitoring and data flow simulation using Cisco Packet Tracer. International Conference on Inventive Computation Technologies (ICICT) (pp. 793–798). IEEE. https://doi.org/10.1109/ICICT57646.2023.10134506. 
10. Hasan, S. A, Md. Apu Hosen, Moz, S. H., Kabir, S. S. and Galib, S. M. (2024). A Comprehensive Deep Learning Approach for Precise Concrete Crack Detection and Severity Classification Using Ensemble Learning . International conference on Advanced Computing and Intelligent Technologies (ICACIT 2024). Springer, Cham. https://doi.org/10.1007/978-981-96-4933-4_22. 
11. Reza, S., Md. Apu Hosen, Rahman, A., & Galib, S. M. (2025). A hybrid approach to digital image watermarking integrating DWT, DFT, and genetic algorithm. In 2025 International Conference on Artificial Intelligence and Smart Energy (pp. 484–496). Springer, Cham. https://doi.org/10.1007/978-3-031-90482-0_39 
12. Ulfat, A., Md. Apu Hosen, Kabir, M. I., Reza, S., & Galib, S. M. (2025). Predicting nitrogen deficit in tea leaf using image processing and machine learning. In 2025 Second International Conference on Innovations and Advances in Cognitive Systems (ICIACS). Springer, Cham.https://doi.org/10.1007/978-3-031-97713-8_28. 
13. Islam, S., Md. Apu Hosen, Zaman, S. F. B., Islam, R., Sheikh, M. N. A., & Galib, S. M. (2025). Ensemble-based classification of Bengali crime news headlines using machine learning. In 2025 Second International Conference on Innovations and Advances in Cognitive Systems (ICIACS). Springer, Cham. https://doi.org/10.1007/978-3-031-97713-8_29. 

RESEARCH GRANTS AND AWARD
• Masters Research Fellowship, ICT Division, Ministry of Posts, Telecommunications, and Information Technology, Bangladesh.
• International Best Technical/Digital Innovation Award, Asia Research Awards – Scopus Index International Research Award 2025. Awarded for research excellence in “Quality and shelf-life prediction of cauliflower using machine learning under vacuum and modified atmosphere packaging.”
• Best Poster Presentation Award, ‘Varsity Day’ Poster Presentation, Jashore University of Science and Technology.

AREA OF RESEARCH INTERESTS

  • Machine Learning
  • Image Processing
  • Networking
  • Deep Learning

PROGRAMMING SKILL

  • C, C++, HTML, CSS, JavaScript, PHP, Python, MYSQL, firebase, sublime text.

SUCCESSFUL PROJECT

  • Course Registration System for University (Web Application)
  • Technologies: HTML, CSS, JavaScript, PHP
  • Smart Attendance System (Mobile App, Technologies: Java)
  • Image Filtering System (Mobile App, Technologies: Java)
  • Recommender System for students and teachers (Web Application)
  • Technologies: HTML, CSS, JavaScript, PHP

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