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Raisa NazifaRN
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Raisa Nazifa

@raisanazifa

Computer Science researcher at CUET studying EEG-based motor imagery and multimodal deep learning for medical AI.

Bangladesh
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What I'm looking for

I aim to pursue a career as a lecturer, contributing to teaching and mentoring students in research projects.

At CUET, my research spans EEG-based motor imagery classification, multimodal deep learning for knee osteoarthritis, and cross-dataset evaluation of medical AI models. My work comparing EEG classification pipelines was accepted and presented at the International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure 2026.

I also developed backend functionality for a payment gateway using Laravel and MySQL, and contributed to a full-stack complaint management system using the MERN Stack. I’m pursuing an M.Sc. in Computer Science & Engineering and aim to become a lecturer, contributing to teaching and mentoring students in research projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Chittagong University of Engineering & Technology (CUET) logoCC

Chittagong University of Engineering & Technology (CUET)

Master of Science, Computer Science and Engineering

2026 -

Pursuing a Master of Science in Computer Science and Engineering at CUET, with research in machine learning and biomedical signal processing.

GC

Govt. Hazi Mohammad Mohsin College

Higher Secondary Certificate, General

Grade: GPA: 5.00/5.00

Completed Higher Secondary Certificate (HSC) with a GPA of 5.00/5.00.

BS

Bayezid Line High School

Secondary School Certificate, General

Grade: GPA: 5.00/5.00

Completed Secondary School Certificate (SSC) with a GPA of 5.00/5.00.

Chittagong University of Engineering & Technology (CUET) logoCC

Chittagong University of Engineering & Technology (CUET)

Bachelor of Science, Computer Science and Engineering

Grade: CGPA: 3.77

Completed a Bachelor of Science in Computer Science and Engineering at CUET with a CGPA of 3.77.

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