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Congratulations to Md. Mahadi Hasan on Successfully Completing His M.Sc. from RUET Seminar on “Shedding Light on the Black Box: The Role of Explainability in Machine Learning”

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

Department of Computer Science and Engineering (CSE)

Profile

Lecturer & Program Coordinator

Md. Khalid Syfullah

Designation: Lecturer & Program Coordinator

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

Mobile: 01979234629 (Official), 01617070297 (Personal)

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

Areas of Interest

Lecturer, Dept. of Computer Science and Engineering (CSE)
Bangladesh Army University of Science and Technology (BAUST)
Saidpur, Nilphamari | July 2023 – Present

  • Instructed a range of undergraduate courses, including: Computer Graphics, Structured Programming Language, Data Structures and Algorithms II, Machine Learning Sessional, Software Development Project II, Artificial Intelligence, and Digital Image Processing Sessional.
  • Supervised multiple undergraduate thesis projects and actively engaged in three ongoing research initiatives focused on AI, computer vision, and natural language processing.
  • Served as faculty advisor to student organizations including the BAUST Computer Club and BAUST Robotics Club; organized and conducted technical workshops on programming, algorithmic problem-solving, and software development.
  • Appointed as the Departmental Program Coordinator (DPC) for the CSE department, overseeing academic planning, curriculum coordination, and program-level quality assurance.
  • Honored with the Vice-Chancellor’s Teaching Excellence Award (2024) in recognition of outstanding dedication to teaching and student mentorship.

    • Software Engineer
    A.K. Apps Limited (Student Startup)
    Active since 3rd year of B.Sc. Engg. | Full-time: February 2023 – June 2023

  • Developed software solutions using Java, C#, Unity, Android SDK, and managed backend systems with various database tools.
  • Proficient with tools such as Android Studio, Unity Gaming Services, and Git.
  • Strengthened skills in teamwork, time management, communication, and professional presentation.

    • 1. Syfullah, M. K., Amin, R., Manirujjaman, M., Hasan, M. M., Abid, M. R., & Ahmed, S. (2024, September). Detecting and understanding cyberbullying in Bengali: An explainable AI approach. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1–7). IEEE. [Link]
    2. Syfullah, M. K., Ali, M. S., Oishy, A. M., & Hossain, M. S. (2024, September). Towards early dengue diagnosis in Bangladesh: A non-invasive prediction model based on symptoms and local trends. In 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) (pp. 833–838). IEEE. [Link]
    3. Syfullah, M. K., Ali, M. S., & Hossain, M. M. (2024). Federated learning for autism spectrum disorder detection. Paper accepted for presentation at the International Conference on Machine Intelligence and Emerging Technologies (MIET 2024), November 8–9, 2024. [Will be Published on Springer Soon Link] [Preprint]
    4. Amin, R., Tusher, M. M. R., Syfullah, M. K., Alam, S. J., Manirujjaman, M., & Faisal, F. (2024, September). Enhancing Bangla Sign Language recognition with Max Voting Ensemble. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1–6). IEEE. [Link]
    5. Hossain, M. N., Karmakar, D., Nandi, P., Osama, M., & Syfullah, M. K. (2024). A deep learning approach for multiclass domain-specific question classification in computer science for Bangla language. In Proceedings of the 4th International Conference on Electrical, Computer and Communication Engineering (ECCE). [Will Appear on IEEE Soon] [Preprint]
    6. M. A. Kadir, B. Nassar, S. M. J. Alam, S. Ahmed, and M. K. Syfullah, “Car Price Prediction: A Comparative Study of Machine Learning and Deep Learning Approaches,” In Proceedings of the 4th International Conference on Electrical, Computer and Communication Engineering (ECCE). [Will Appear on IEEE Soon] [Preprint]

    1. Image Processing
    2. Computer Vision (Image Classification, Image Segmentation, Multimodal Image Classification, Video Classification)
    3. Natural Language Processing (Text Generation, Text Classification, Transformer-Based Models, Large Language Models)
    4. Software Engineering
    5. Multimodal Deep Learning
    6. AI based solutions for real world problems.

  • Honored with the Vice Chancellor’s Teaching Excellence Award 2024, organized by IQAC, BAUST.
  • Reviewer at the Undergraduate Conference on Intelligent Computing and Systems (UCICS 2025), held on 26–27 February 2025 at Varendra University, Rajshahi, Bangladesh.
  • Dean’s Award, Fourth Year, Session: 2020–21, From Faculty of Electrical and Electronic Engineering, KUET.
  • Passed the ITEE FE Exam, governed by IPA, Japan, in 2022.
  • Dean’s Award, Third Year, Session: 2019–20, From Faculty of Electrical and Electronic Engineering, KUET.
  • 9th Position, Science Olympiad, National Division, 2017.
  • SSC Scholarship 2015, Board of Intermediate and Secondary Education, Rajshahi.