Md Shahidul Islam Shabuz

• Computer Vision & Attention Mechanisms: attention-enhanced CNNs, Vision Transformers, real-time visual recognition.
• Medical Image Analysis: tumor and lesion segmentation in MRI; CNN and CNN–Transformer hybrid architectures.
• Sequence Modeling & Explainable AI: Transformer, encoder–decoder and RNN/LSTM models; Grad-CAM interpretability for deployment under limited compute.

Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

• CGPA 4.00 / 4.00 (first semester completed).

Dhaka University of Engineering & Technology (DUET), Gazipur, Bangladesh

A. Al Mamun, M. S. I. Shabuz, M. N. Rahaman, K. I. Masud, and M. B. Hossain, “An Attention-Enhanced CNN with Explainable AI for Driver Behavior Detection in Intelligent Transportation Systems,” Algorithms (MDPI), vol. 19, no. 8, art. 615, 2026. DOI: 10.3390/a19080615  |  Full text PDF

B.Sc. Thesis, DUET, Gazipur, Bangladesh

• Developed a CNN-based deep learning model for automatic segmentation of brain tumor regions in MRI images.
• Implemented the full pipeline — image preprocessing, model training, and evaluation against reference annotations.

Rajshahi Science and Technology University (RSTU), Natore, Bangladesh

• Teach undergraduate computer science courses and laboratory sessions in English; advise students on undergraduate thesis and project work.

Rajshahi Science and Technology University (RSTU), Natore, Bangladesh

• Taught core undergraduate courses and developed course materials; promoted to Assistant Professor in 2024.

Brain Station 23, Dhaka, Bangladesh

• Built a CLI-based task management system in Python using object-oriented design and Git version control.

• Courses taught: Machine Learning, Artificial Intelligence, Digital Image Processing, Data Structures, Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems.
• Lectures and laboratory sessions delivered in English; course material developed for each course.

B.Sc. final-year project, RSTU. Student: Md. Marzan Haque.

• Supervised a peer-to-peer marketplace for second-hand books, built with Next.js, React, TypeScript and Supabase PostgreSQL and deployed publicly.

• Public learning group of approximately 30,000 members, helping readers build English vocabulary from the daily newspapers for competitive examinations and English proficiency tests — facebook.com/groups/dailyenglishvocab

Student societies, DUET: Senior Vice President, English Language Club; Finance Director, DUET Computer Society; Volunteer, DUET CSE Fest 2019.

• Programming Languages: Python, C++, C, MATLAB
• Deep Learning Frameworks: PyTorch, TensorFlow, Keras
• Architectures & Methods: CNN, U-Net, ResNet, Swin Transformer, Transformers, Attention Modules, RNN, LSTM, Encoder–Decoder Models, Transfer Learning, Explainable AI (Grad-CAM)
• Tools & Databases: Git, GitHub, SQL

Dr. Momotaz Begum — Professor and Head, Department of Computer Science and Engineering, DUET, Gazipur, Bangladesh
M.Sc. Supervisor  |  drmomotaz@duet.ac.bd

Dr. Mohammod Abul Kashem — Professor, Department of Computer Science and Engineering, DUET, Gazipur, Bangladesh
B.Sc. Thesis Supervisor  |  drkashemll@duet.ac.bd