Computer Vision
- Object Detection
- Image Classification
- Medical Imaging
- OCR
- Vision Transformer
- Ultralytics/YOLO
Ragib Hasan
Aspiring PhDStudent
Open to research collaborations
01Introduction
Building intelligent systems through machine learning research.
I am Md. Ragib Hasan, a graduate in Computer Science and Engineering with a growing research interest in Machine Learning, Computer Vision, Image Processing and Intelligent Healthcare Systems. I am currently a Research Assistant and Adjunct Lecturer in the Department of CSE at Sylhet Engineering College, working under Md. Abu Naser Mojumder. My goal is to pursue a PhD and contribute to research that bridges academic innovation with practical real-world applications.
- Currently
- Research Assistant & Adjunct Lecturer
- Institution
- Sylhet Engineering College
- Research Focus
- Computer Vision
- Image Processing
- Deep Learning
- Object Detection
- Future Goal
- PhD in Machine Learning
02Research
Research driven by practical problems.
My research focuses on developing reliable machine learning systems for healthcare, intelligent transportation and document understanding. I enjoy building datasets, evaluating deep learning architectures and creating models that remain reliable beyond controlled laboratory settings.
I believe research should solve practical problems while maintaining scientific rigor.
Machine Learning
- Deep Learning
- CNN
- Transfer Learning
- Model Evaluation
- Real-World Implementation
Research Interests
- Computer vision and deep learning for real-world visual understanding
- Object-centric recognition, OCR, and document intelligence
- Multimodal learning
- Efficient and robust systems for challenging, real-world environments
- Applications in healthcare and low-resource language and script recognition
03Publications
Selected papers and ongoing studies.
A selection of papers and ongoing studies, from handwritten character recognition to document intelligence, each one built on real datasets and evaluated against real-world conditions.
ChakmaCNN: A Pronunciation-Aware CNN for Handwritten Chakma Script Recognition
A pronunciation-aware CNN for handwritten Chakma script recognition. First-author IEEE conference paper, now live on IEEE Xplore.
Read MoreDateFNet: From Pixels to Plates, Attention Based Multi-Stream CNN for Date Fruit Classification
An attention-based multi-stream CNN for date fruit classification from image data, published at an IEEE conference.
Read MoreTowards Secure Digital Communication: Deep Learning-Based Automated Classification of Malicious Bangla Messages
Deep learning-based automated classification of malicious Bangla messages for safer digital communication.
Read More04Projects
Selected work built for real users.
My projects focus on solving practical problems through machine learning, intelligent systems and modern web technologies. Every product is designed with usability, performance and long-term maintainability in mind.
BloBax
Active DevelopmentDjango-based AI healthcare platform with health predictions, Gemini-powered emergency guidance, prescription medicine recognition, and a Bangladesh doctor directory.
- Python
- Django
- Gemini API
- Machine Learning
- MySQL
BioEnclave
LiveOfficial website for BioEnclave, a paid client project built with Next.js, premium editorial design, and optimized performance.
- Next.js
- TypeScript
- Tailwind CSS
- Cloudflare
- Vercel
BizTrade Venture
CompletedProduct management and admin management web application developed for BizTrade Venture as a paid client project.
- Next.js
- React
- Node.js
- Tailwind CSS
Baymax
Research PrototypeDesktop AI medical assistant with first-aid chatbot, prescription recognition, disease predictions, and an emergency hospital directory for Bangladesh.
- Python
- TensorFlow
- Scikit-learn
- MySQL
05Experience
Growing through research, engineering and leadership.
My journey combines academic research, software engineering and student leadership. Every stage has strengthened my technical foundation while teaching me how to collaborate, communicate and deliver meaningful work.
2022
Started Bachelor of Science in Computer Science and Engineering
Sylhet Engineering College
Focused on programming fundamentals, algorithms, C++ and competitive programming.
2023
Competitive Programming with C++
Built strong problem-solving skills through C++ on Codeforces, CodeChef and related platforms.
2024
Machine Learning, Python and Java Projects
Started learning machine learning and Python in depth; built Java-based academic projects alongside coursework.
2025
Research, AI Projects and Client Work
Published IEEE conference papers; built ML and AI projects; delivered paid web project for BizTrade Venture; continued student leadership roles.
2026
Graduation, Academic Roles and Research
Graduated with BSc in CSE; joined as Research Assistant and Adjunct Lecturer; completed thesis on vehicle detection and Bangla license plate recognition; advancing journal and ICCIT 2026 submissions.
06Leadership
Building communities beyond the classroom.
Leadership has helped me grow beyond technical knowledge. Organizing events, collaborating with teams and mentoring fellow students have strengthened my communication, planning and decision-making skills.
Vice President
SEC CSE Research Club
Promoting research, organizing research activities and supporting collaborative projects.
General Secretary
CSE Society
Led technical events, seminars, competitions and student initiatives. Oct 2025 – Aug 2026.
Organizing Secretary
SEC Programming Club
Organized programming contests, workshops and technical events. Oct 2025 – Aug 2026.
07Contact
Let's create something meaningful.
Whether you want to discuss research, collaborate on a project or simply start a conversation, I would be happy to hear from you.
