Notice :
 
TEAM BAUST: BAUSTian_Inventors at ICPC Congratulations to the Honorable Vice Chancellor Seminar on “Shedding Light on the Black Box: The Role of Explainability in Machine Learning” Seminar on “Building Innovation Ecosystem for Smart Bangladesh” CSE OBE Syllabus 2021

Bangladesh Army University of Science and Technology (BAUST), Saidpur

Department of Computer Science and Engineering (CSE)

Profile

Lecturer

Md. Mahadi Hasan

Designation: Lecturer

Qualification: B.Sc. Engg. in CSE, CUET
M.Sc. Engg. in CSE, RUET (Ongoing)

Mobile: 01303516351

E-mail: mahadihasan@baust.edu.bd (Official)
mahadihasan1604020@gmail.com

Areas of Interest

Education

1.M.Sc. Engg. in Computer Science and Engineering, Rajshahi University of Engineering and Technology (RUET) [Ongoing]

2. B.Sc. Engg. in Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET)

Experience
1. Lecturer, Department of Computer Science & Engineering, Bangladesh Army University of Science & Technology, Saidpur (15 January 2023-Current)
2. Assistant Hall Provost, Shaheed Dr. Zikrul Haque Hall, BAUST (January 2023- August 2023)
3. Lecturer, Department of CSE, University of Information Technology and Science (UITS), (12 November 2022 – 12 January 2023)

Publications
1. M.K. Syfullah, R. Amin, M. Manirujjaman, M.M. Hasan, M. R. Abid & S. Ahmed (2024). Detecting and Understanding Cyberbullying in Bengali: An Explainable AI Approach. In IEEE Conference on Computing, Applications, and Systems (COMPAS 2024), September 25-26, 2024.

2.M. M. Hasan, S. Sakib, and K. Deb, “Road damage detection and classification using deep neural network,” in 2022 4th International Conference on Electrical, Computer Telecommunication Engineering (ICECTE), 2022, pp. 1–6.

3. M. Zubair, M. M. Hasan, S. Ahmed, A. Dey, A. Das, et al., ‘An intelligent model to suggest top productive seasonal crops based on user location in the context of Bangladesh,’ in Smart Systems: Innovations in Computing, Springer, 2022, pp. 289–300.