Ensemble-Based Transfer Learning Approach for Brain Tumor Segmentation from MRI Images
A. F. M. Minhazur Rahman, Md Ali Hossain
Machine Learning for Healthcare Informatics
Assistant Professor · RUET, Bangladesh
Deep learning researcher working on computer vision — medical image segmentation, classification, and trustworthy AI.
Department of Computer Science & Engineering, Rajshahi University of Engineering & Technology (RUET), Bangladesh

I am a Computer Science and Engineering (CSE) graduate from Rajshahi University of Engineering & Technology (RUET), Bangladesh, where I earned a Bachelor of Science degree with first-class honors, ranking first in my class. I earned a Master of Science degree in CSE at RUET, where my thesis involved deep learning-based image segmentation for medical image analysis. Currently, I serve as an Assistant Professor at the same institution.
My research focuses on deep learning, particularly in computer vision tasks, including segmentation and classification. I am passionate about contributing to advances in computer vision, a field that I believe will significantly shape the future.
Research output
A. F. M. Minhazur Rahman, Md Ali Hossain
Machine Learning for Healthcare Informatics
Md. Farhan Shakib, Md. Shahid Uz Zaman, Md. Al Mamun, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Md. Azmain Yakin Srizon, A. F. M. Minhazur Rahman
IEEE Access
A. F. M. Minhazur Rahman, Md. Ali Hossain
2023 26th International Conference on Computer and Information Technology (ICCIT)
Background
Education
Rajshahi University of Engineering & Technology (RUET), Rajshahi, Bangladesh
Thesis
An Effective Deep Learning Approach for Analysis of Abnormalities in MRI Images
Supervised by Dr. Md. Ali Hossain, Professor, CSE, RUET
Rajshahi University of Engineering & Technology (RUET), Rajshahi, Bangladesh
Thesis
Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks
Supervised by Dr. Boshir Ahmed, Professor, CSE, RUET
Appointments
Funded work
A research project funded by the University Grants Commission (UGC), Bangladesh, and RUET. Proposed a novel, efficient deep learning based model for semantic segmentation of brain tumors in MRI images.
Lead Consultant– Technical Architecture, System Performance & UI/UX Evaluation
Focal Point
Consultancy Coordinator
Engineering
Currently designing and developing a bilingual enterprise HRMS for Pashchimanchal Gas Company Ltd., covering recruitment, employee management, transfers, promotions, payroll, and provident fund. The system incorporates configurable multi-level approval workflows, role-based access control, audit logging, and automated CI/CD deployment.
A Laravel-based web application that streamlines backlog exam registration, resolves scheduling conflicts, and notifies students and teachers through on-site notices and email.
Compiler for a programming language similar to C that generates MIPS assembly code.
An Android application for taking class attendance, keeping track of students and generating attendance reports.
An Android application for keeping track of medication, setting reminders, keeping doctor appointment notes, etc.
Recognition
Student of the Year — 4th Year
Awarded for outstanding result in 4th year with average 3.97 GPA and academic excellence
Student of the Year — 3rd Year
Awarded for outstanding result in 3rd year with average 3.93 GPA and academic excellence
Student of the Year — 1st Year
Awarded for outstanding result in 1st year with average 3.94 GPA and academic excellence
Board Scholarship, Higher Secondary Certificate (HSC)
Recipient of the Rajshahi Board Scholarship for academic excellence
Institute of Electrical and Electronics Engineers (IEEE)
Member (#97378082) · 2025–
IEEE Young Professionals
Member (#97378082) · 2025–
Deep Learning Libraries
Data Analysis Tools
Programming Languages
Software Development
Language Proficiency
English
Professional