Md Sajeebul Islam Sk

I'm a machine learning researcher at BRAC University in Dhaka. I did my master's in Computer Science and Engineering from BRAC University, where I was supervised by Dr. Md. Golam Rabiul Alam and bachelor in Mathematics from Khulna University, where I was supervised by Dr. Md. Rafiqul Islam.

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Research

I'm interested in machine learning, computer vision, deep learning, generative AI, natural language processing and similar fields.

Reducing the difficulty of accurate and explainable Lumbar Spinal Stenosis diagnosis from MRI by proposing an end-to-end explainable VLM framework using Spatial Patch Cross-Attention, Adaptive PID-Tversky loss, and automated radiology report generation module.

Propose a foundation model that reduces noise, biased prediction, overfitting, poor generalization, and model size by using Morlet–DB4 wavelet denoising, ADASYN class balancing, pretraining CBAM–GAT–TST attention architecture and predicts Normal/Abnormal ECGs and five cardiac diseases from ECG diverse datasets.

Create Bengali language based speech datasets and a speech-text based personality classification framework by introducing MoMF feature extraction, and developing DistilRo (DistilBERT and RoBERTa) and BiG (Bi-LSTM and GRU) soft-voting ensemble models to predicts ten different personality traits.

Analyze 5-second speech signals with Haar, Sym2, db4 wavelets and calculated PSNR, and SNR values for both drug-addicted and non-addicted people.

Experience

Research Assistant
Advisor: Md. Mehedi Hasan Shawon, Dr. Md. Golam Rabiul Alam

Research Assistant
Advisor: Dr. Md. Golam Rabiul Alam

Education

Thesis: Unveiling Personality Traits through Bangla Speech using Morlet Wavelet Transformation and Soft-Voting Classifier

Thesis: Identification of Drug-addicted and Non-addicted People Using Voice Signal Through Haar Wavelet Transform

Miscellanea

Template stolen from Yijia Weng (and also Jon Barron).
Last updated: May 10, 2026