B.Sc in Software Engineering, American International University(AIUB)

Theory of Computing, System Analysis and Design, Documentation of Software Engineering, Data Communication

Journals:

1. Dipu, M. T. A., Hossain, S. S., Arafat, Y., & Rafiq, F. B. (2021). Real-time driver drowsiness detection using deep learning. International Journal of Advanced Computer Science and Applications, 12(7).
2. Rahman, S. S. M. M., Rafiq, F. B., Toma, T. R., Hossain, S. S., & Biplob, K. B. B. (2020). Performance assessment of multiple machine learning classifiers for detecting the phishing URLs. In Data Engineering and Communication Technology: Proceedings of 3rd ICDECT-2K19 (pp. 285-296). Springer Singapore.
   
   

Conference: 

1. Sarwar, M. N., Arman, M. S., Bhuiyan, T., & Rafiq, F. B. (2025, February). Optimizing Intrusion Detection with Hybrid Deep Learning Models and Data Balancing Techniques. In 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC) (pp. 1-6). IEEE.
2. Rahman, S., Hossain, S. S., Arman, M. S., Rawshan, L., Toma, T. R., Rafiq, F. B., & Badruzzaman, K. B. M. (2020). Assessing the effectiveness of topic modeling algorithms in discovering generic label with description. In Advances in Information and Communication: Proceedings of the 2020 Future of Information and Communication Conference (FICC), Volume 2 (pp. 224-236). Springer International Publishing.

Human Computer Interaction(HCI), Internet of Things(IOT) , Management Information System (MIS)

• Software Quality Assurance Engineer (Intern), Geeks & Technology, (November,2016- February, 2017)
• Part Time Faculty member, Department of Software Engineering, Daffodil International University.