Hi, I am Md. Mehedi Hasan Shuvo
AI Researcher | Undergraduate Student at AIUB | Passionate about Artificial Intelligence, Machine Learning, Deep Learning, and Data Science
About Me
I am an AI researcher and undergraduate student of Computer Science and Engineering (major in Information Systems) at the American International University–Bangladesh (AIUB). My academic and research interests revolve around Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Computer Vision, focusing on building intelligent, data-driven systems that connect research innovation with real-world application.
- AI Researcher
- Undergraduate Student
- Computer Science and Engineering
- Information Systems
- American International University–Bangladesh (AIUB)
Skills
Programming: Python, Java, C#, C++, C, R, HTML
ML/AI: KNN, Decision Trees, SVM, XGBoost, CNN, RNN, LSTM, YOLO, NLP
Frameworks: TensorFlow, PyTorch, Keras
Libraries: Scikit-learn, Pandas, NumPy, Matplotlib
Databases: Oracle, MySQL
Tools: Google Colab, R Studio, Matlab, VS Code, Git, Kaggle
Projects
Selected Projects
- Vehicle Detection: Real-time multi-class detection using YOLO and CNN models.
- Recyclable Waste Classification (MS-YOLOv12): Enhanced YOLO for sustainable waste detection.
- Medical & Plant Disease Detection: ML/DL-based bone fracture and tomato leaf diagnosis.
- Driver Behavior Analysis (DBNet): Vision-based driver activity detection for safety.
- Text Mining & NLP Projects: Agricultural abstract clustering and Bangla text quality analysis.
- Management Systems: Coaching and AIUB Shuttle Management systems (Java & C#).
- Data Science: EDA and visualization using Python & R.
- Database Project: School Management System using Oracle
Education
| Degree | Institution | Year | Result |
|---|---|---|---|
| B.Sc. in CSE | American International University–Bangladesh (AIUB) | Expected 2026 | CGPA 3.75/4.00 |
| HSC (Science) | Govt. Keshab Chandra College, Jhenaidah | 2020 | GPA 5.00 |
| SSC (Science) | Garagonj Secondary School | 2018 | GPA 4.67 |
Publications
- ECCE 2025 (IEEE, Bangladesh): A Deep Learning-Based Framework for Accurate Detection and Classification of On-Road Vehicles Using Improved YOLOv11
Abstract: Vehicle detection and classification systems have significantly improved in recent years due to the developments in deep-learning-based frameworks for object detection. These systems have various applications in autonomous driving, intelligent transportation, traffic management, and urban planning...
Memberships
- Student Member, IEEE
- Student Member, IEEE Computer Society
Contact
- Email: mdmehedihasanshuvo994@gmail.com
- Phone: +8801954-596854
- LinkedIn: https://www.linkedin.com/in/mh-shuvo-aiub/
- GitHub: https://github.com/MH-SHUVO20
- Portfolio: https://mhshuvo.me/
- Facebook: https://www.facebook.com/mh.shuvo.7370
References
-
AMINUN NAHAR
Assistant Professor
Department of Computer Science, AIUB
Email: aminun.nahar@aiub.edu -
Md Monayem Islam
Senior Software Engineer
Nybsys (Pvt.) Ltd.
Email: contact@monayemislam.me
Website: https://monayemislam.me