Department of Business Administration
Md. Fahad Hossain  Lecturer
Name :
Md. Fahad Hossain
Designation
Lecturer  
Department
Department of Business Administration
Faculty
Faculty of Business & Entrepreneurship
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/bba/fahadhossain-bba.html
E-mail
fahad.ba@diu.edu.bd
Phone
Cell-Phone
01946704373
  • Master of Science in Computer Science and Engineering, Daffodil International University
  • Bachelor of Science in Computer Science and Engineering , Daffodil International University
  • OBE Curriculum Preparing and Practicing, Daffodil International University.
  • OBE Curriculum Renewal and IEB Accreditation, Daffodil International University.
  • Induction Training for Teachers, Daffodil International University.
  • Programming for Business Analytics
  • Cyber Security for Business 

 

  1. Md. F. Hossain, Md. A. Supto, Z. Chowdhury, H. S. Chowdhury, and S. Abujar, “Baad: A multipurpose dataset for Automatic Bangla Offensive Speec Recognition,” Data in Brief, vol. 48, p. 109067, 2023. doi:10.1016/j.dib.2023.109067.Elsevier[Scopus Indexed].
  2. H. Ali, Md. F. Hossain, Md. M. Hasan, and S. Abujar, “Covid-19 dataset: Worldwide spread log including countries first case and First Death,” Data in Brief, vol. 32, p. 106173, 2020.Elsevier[Scopus Indexed]
  3. H. D. Arpita, A. A. Ryan, Md. F. Hossain, Md. S. Rahman, and MD. Sajjad, “Exploring Bengali speech for gender classification: Machine Learning and deep learning approaches," Bulletin of Electrical Engineering and Informatics, vol. 14, no. 1, pp. 328–337, 2025, doi: 10.11591/eei.v14i1.8146.IAES[Scopus Indexed]
  4. Md. F. Hossain, Md. M. Hasan, H. Ali, M. R. Sarker, and Md. T. Hassan, “A machine learning approach to recognize speakers of the United Kingdom from continuous speech based on Accent Classification,” 2020 11th International Conference on Electrical and Computer Engineering (ICECE), 2020. doi:10.1109/icece51571.2020.9393038.IEEE Xplore[Scopus Indexed].
  5. Md. F. Hossain, Md. Mehedi Hasan, H. Ali, and S. Abujar, “A continuous word segmentation of Bengali noisy speech,” Advances in Intelligent Systems and Computing, pp. 525–534, 2020. doi:10.1007/978-981-15-7394-148.Springer Singapore[Scopus Indexed].
  6. P. Roy, Md. F. Hossain, and N. Jahan, “Machine learning approach to predict the influence of smoking on student life,” 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021. doi:10.1109/icccnt51525.2021.9579775.IEEE Xplore[Scopus Indexed]
  7. H. Ali, Md. F. Hossain, S. B. Shuvo, and A. Al Marouf, “Banglasenti: A dataset of Bangla words for sentiment analysis,” 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020. doi:10.1109/icccnt49239.2020.9225565.IEEE Xplore[Scopus Indexed].
  8. Md. M. Hasan, H. Ali, Md. F. Hossain, and S. Abujar, “Preprocessing of continuous Bengali speech for feature extraction,” 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020. doi:10.1109/icccnt49239.2020.9225469.IEEE Xplore[Scopus Indexed].
  9. M. Akter, N. Sultana, Md. F. Hossain, and S. R. Noori, “Factors that has effect on early movie recommendation: A systematic literature review,” 2021 12t International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021. doi:10.1109/icccnt51525.2021.9579861.IEEE Xplore[Scopus Indexed].
  10. Md. Abdullah-Al-Kafi, Md. F. Hossain, and S. R. Noori, “A review on the relationship between human and artificial imagination with their implementations in current machine learning algorithms,” 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021. doi:10.1109/icccnt51525.2021.9579860.IEEE Xplore[Scopus Indexed].
  11. Rashid, Md.M., Nayeem, S.K. and Md. F. Hossain ‘A proposed approach to detect incident and violation through CCTV using convolutional neural network’, Lecture Notes in Electrical Engineering, pp. 903–916,2023 doi:10.1007/978-981-19-7753-469.Springer Nature[Scopus Indexed].

Research Interests:

  • Natural Language Processing
  • Machine Learning
  • Deep Learning
  • Data Mining
  • Computer Vision