MD. MEHEDI HASAN SHUVO

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

1. American International University–Bangladesh (AIUB)

   B.Sc. in Computer Science and Engineering — CGPA: 3.75/4.00 (Expected Graduation: 2026)

   Relevant Courses: Data Science, Machine Learning, Artificial Intelligence, Data Structures, Algorithms, Databases

2. Govt. Keshab Chandra College, Jhenaidah

   Higher Secondary Certificate (Science) — GPA: 5.00/5.00

3. Garagonj Secondary School

   Secondary School Certificate (Science) — Year: 2018

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. We propose a framework for accurately detecting and classifying on-road vehicles using a deep learning model called You Only Look Once (YOLOv11). Our study provides a comprehensive knowledge of model efficiency in vehicle detection and classification across nine classes: bicycle, bus, car, e-bike, jeep, motorcycle, tricycle, truck, and van. We tested the performance of the proposed improved YOLOv11 model and evaluated it using four performance matrices. The proposed improved YOLOv11 model achieved a precision of 96.5% and a recall of 96%, an F1 score of 77%, and an AUPRC of 82%. We also compared the proposed model performance with other versions of the YOLO series, as well as various traditional deep learning models to determine the effectiveness in vehicle detection and classification. The framework is a strong option for real-time traffic monitoring and autonomous driving applications, as the results show that it greatly increases precision and recall, especially in high-traffic situations.

Memberships

• Student Member, IEEE (Institute of Electrical and Electronics Engineers)
• Student Member, IEEE Computer Society