About Me
I am Md. Mahafujer Rahman,
a highly motivated Computer Science (Graduated) student specializing in Machine Learning and Data Science. My research focuses on leveraging Deep Learning and Computer Vision for advancements in Healthcare AI, including medical image analysis for early disease detection and genomic data analysis. I am passionate about utilizing AI for social good and am eager to apply my skills to challenging research projects.
- Research Areas : Deep Learning, Computer Vision, Computational Biology, AI for Social Good, Representation Learning, Generative Modeling, Cross-Modal Understanding, Limited Supervision Learning, Structured Data Analysis
- Research Topics : Healthcare AI, Medical Image Analysis, Early Disease Detection, Genomic Data Analysis, AI-Driven Social Network Analysis
Education
Showcasing my academic history.
Research
Showcasing my research contributions.
An Intelligent Biomedical Framework for Predicting Liver Cirrhosis Using Machine Learning and Clinical Biomarkers
Conference PaperAbstract—Liver cirrhosis is a progressive chronic disease characterized by irreversible hepatic fibrosis and functional deterioration,
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A Machine Learning Framework for Multi-Class Classification of Liver Diseases Using Clinical Biomarkers
Conference PaperLiver diseases represent a critical global health challenge requiring accurate and timely diagnosis for effective intervention...
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A Hybrid Deep Learning Model for Classifying Myocardial Infarction Complications Through ECG Images with XAI
Conference PaperAbstract—Every year, cardiovascular diseases cost the lives of around 18 million people; this number is sometimes increased by inaccurate or delayed diagnoses....
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Publication and Articles
Showcasing my research contributions, publications, and academic articles.
Submitted and Ongoing
all submitted and ongoing Research Papers and Articles.
- Research Title : Generative Adversarial Networks for Designing Novel Nanofunctional Materialswith Tailored Microstructures
- Research Title : Eye Disease Classification Using Machine Learning Algorithm, (BSc Thesis)
Another Publication / Articles
another publication, research project or article.
- Progga Parmita, Aishwarya, Mahafujer Rahman, Khadiza Akter : A Hybrid Deep Learning Model for Classifying Myocardial Infarction Complications Through ECG Images with XAI , Submitted in 2025
Project
Showcasing all my academic and personal projects.
Research Work / Professional Experience
Showcasing my research Work / professional Experience Experience
DeepScope Research Lab at IUBAT | - Research Assistant (February 2026 – Present)
Dhaka , Bangladesh
- Collaborate with other researchers and professors.
Plexus Cloud | SOFTWARE ENGINEER - FLUTTER (June 2025 – Present)
Banani, Dhaka, Bangladesh
- Create and maintain internal Flutter apps.
- Deliver smooth UI, performance, and stability.
- Collaborate with backend and product teams to integrate APIs, debug issues, and deliver features efficiently.
Spark Tech | SOFTWARE ENGINEER - FLUTTER (August 2024 – May 2025)
Banasree, Rampura, Dhaka
- Build high-performance applications tailored to client needs.
- Work with UI/UX designers for intuitive interfaces and backend developers for seamless API integration.
- Deliver applications to clients, ensuring clear communication throughout the development process to align expectations and gather feedback.
Taagid Technology | Jr. SOFTWARE ENGINEER - FLUTTER (December 2023 – July 2024)
Mirpur DOHS, Dhaka, Bangladesh
- Collaborated with senior developers to identify and resolve bugs, contributing to the improvement of app stability and user experience.
- Developed & maintained Flutter app following best practices and industry standards, ensuring efficient performance and reliability.
- Actively participated in team discussions and code reviews, continuously learning.
Services
My Research & Innovation Areas
Peer-reviewed
- Peer-reviewed work on medical image analysis and disease detection
- Publications in computational biology and genomic data analysis
- Research on AI for social good using NLP and social networks
Innovation Projects
- Created smart diagnostic tools as cross-platform apps for faster clinical decision-making
- Engineered human-centered AI systems ensuring ethical and explainable outputs
- Integrated multi-disciplinary AI solutions (healthcare + social sciences) into real-world software
Testimonials
What they are saying about me
Suhala Lamia
Assistant Professor, IUBAT
Mahafujer Rahman made remarkable contributions to a healthcare ML project under my supervision. He applied machine learning to medical data with precision and creativity, achieving impactful results. His work shows strong potential for advancing healthcare through AI.
Khadiza Akter
Software Engineer
Researcher at DeepScope Research Lab
Working with Mahafujer Rahman on our research project was a great experience. His dedication and critical thinking consistently elevated the quality of our work.
Md. Rawnak Saif Adib
Lecturer, IUBAT
Involved Mahafujer Rahman in an extra-curricular event. He carried out the responsibilities I assigned with dedication and creativity. His active participation and teamwork added real value to the event.
Dr. Tawfikur Rahman
Assistant Professor
Department of Electrical and Electronic Engineering, IUBAT
Mahafujer Rahman demonstrated exceptional technical proficiency and a proactive mindset while collaborating on this research article in our laboratory, consistently delivering high-quality results.
Contact
Address
Rampura, Dhaka - 1219, Bangladesh
Call
+880 1755 460087
mahafujer.work@gmail.com