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. Khalid Syfullah

Designation: Lecturer

Qualification: B.Sc. Engg. in CSE, KUET
M.Sc. Engg. in CSE, KUET (ongoing)

Mobile: 01617070297

E-mail: khalidsyfullah@baust.edu.bd (official)
khalidsyfullah3@gmail.com (personal)

Areas of Interest

Education
1. B.Sc Engg. in Computer Science and Engineering, KUET

Experience
1. Lecturer (Jul 2023 – Present)
Department of Computer Science and Engineering, BAUST.

Publications
1. M.K. Syfullah, M.S. Ali & M.M. Hossain (2024). Federated Learning for Autism Spectrum Disorder Detection. In International Conference on Machine Intelligence and Emerging Technologies (MIET 2024), November 8-9, 2024. [Accepted]

2. 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.

3. M.K. Syfullah, M.S. Ali, A.M. Oishy & M.S. Hossain (2024). Towards Early Dengue Diagnosis in Bangladesh: A Non-invasive Prediction Model based on Symptoms and Local Trends. In IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON 2024), September 12-13, 2024.

4. R. Amin, M. M. R. Tusher, M.K. Syfullah, S.M.J. Alam, M. Manirujjaman, & F. Faisal. (2024). Enhancing Bangla Sign Language Recognition with Max Voting Ensemble. In IEEE Conference on Computing, Applications and Systems (COMPAS 2024), September 25-26, 2024.