Shakib Al Hasan
BSc
BSc, Dept. of Biomedical Engineering, IU
Shakib Al Hasan is pursuing a BSc in Biomedical Engineering at Islamic University, Bangladesh, where he serves as a full-time research assistant in the Bio-Imaging Laboratory. His research focuses on machine learning, deep learning, and medical image processing, with recent advancements in natural language processing (NLP) and large language models (LLMs). By integrating technical expertise with healthcare applications, he aims to drive innovation in biomedical technology through cutting-edge research.
Google Scholar Profile
Name: Shakib Al Hasan
Citation Count: 51
Published Papers:
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Unlocking the potential of XAI for improved Alzheimer’s disease detection and classification using a ViT-GRU model
Cited by: 45 | Year: 2024 -
TransMixer-AF: advanced real-time detection of atrial fibrillation utilizing single-lead electrocardiogram signals
Cited by: 4 | Year: 2024 -
DSIT UNet a dual stream iterative transformer based UNet architecture for segmenting brain tumors from FLAIR MRI images
Cited by: 1 | Year: 2025 -
Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model
Cited by: 1 | Year: 2025 -
A Hybrid VGG16‐ViT Approach With Image Processing Techniques for Improved White Blood Cell Classification and Disease Diagnosis: A Retrospective Study
Cited by: 0 | Year: 2025 -
DSP-UNet: Dual-Skip Perceiver UNet for Lower-Grade Glioma Segmentation
Cited by: 0 | Year: 2024 -
AFNet-MI: Motor Imagery EEG Signal Classification for Hand Movements Using Attention-Integrated FNet Blocks
Cited by: 0 | Year: 2024