Raisa Fabiha

Raisa Fabiha is a Lecturer in the Department of Computer Science and Engineering (CSE) at Notre Dame University Bangladesh. She graduated from Notre Dame University Bangladesh with a Bachelor of Science (B.Sc.) in Computer Science and Engineering in 2024, achieving a remarkable CGPA of 3.99/4.00 and earning the Summa Cum Laude distinction in Spring 2024. She then completed her Master’s in Information Technology (MIT) from the University of Dhaka in 2026.

She began her academic journey at Viqarunnisa Noon School and College, where she completed both her Secondary School Certificate (SSC) and Higher Secondary Certificate (HSC)

In addition to her academic achievements, she gained valuable industry experience. She worked as a Software Developer Intern at Spectrum IT Solutions Limited and later at Pridesys IT, where she gained practical experience in software engineering, web development.

Education

• Master’s in Information Technology (MIT), University of Dhaka.
• B.Sc. in Computer Science and Engineering, Notre Dame University Bangladesh, 2024. CGPA: 3.99/4.00
• Higher Secondary Certificate – Viqarunnisa Noon School and College, 2019. GPA: 5.00/5.00
• Secondary School Certificate – Viqarunnisa Noon School and College, 2017. GPA: 5.00/5.00

Publications

Journal

Raisa Fabiha, Stein Joachim Reberio, Zubayer Farazi, Fernaz Narin Nur, Shaheena Sultana, and A. H. M. Saiful Islam. “IDPS: A Machine Learning Framework for Real-Time Intrusion Detection and Protection System for Malicious Internet Activity.” International Journal of Electrical and Computer Engineering (IJECE), vol. 16, no. 1, pp. 437–449, 2026. DOI: https://doi.org/10.11591/ijece.v16i1.pp437-449

Conference

Raisa Fabiha, Stein Joachim Reberio, Zubayer Farazi, Fernaz Narin Nur, and Shaheena Sultana. “A Machine Learning Framework for Real-Time Intrusion Detection for Malicious Internet Activity.” Proceedings of the 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI), Narayanganj, Bangladesh, 2024, pp. 1–6. IEEE. DOI: https://doi.org/10.1109/STI64222.2024.10951140

Research Interests

Machine Learning, Artificial Intelligence, Cybersecurity, Computer Networks, Network Security, Data Mining and Data Science.