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I'm HOSEN ARAFAT

Deeply Passionate about advancing Artificial Intelligence, Image Computing, Image Processing, Machine Learning, Deep Learning, Computer Vision, with a strong desire to continuously learn, conduct impactful research, and publish high-quality scientific papers throughout my Master's and PhD journey.

Artificial Intelligence Image Computing Image Processing Machine Learning Deep Learning Computer Vision
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HOSEN ARAFAT

About

Personal Information and Career Summary

HOSEN ARAFAT | Bogura, Bangladesh

  • I grew up in Bogura, Bangladesh, a city renowned for its natural harbor, rolling hills. I completed my Secondary School Certificate (SSC) at Fulbari Hamidia Dhakil Madrasa. Then I pursued my Higher Secondary Certificate (HSC) at Sherwood In't (Pvt) College. Then I enrolled in Anhui University of Technology in China to pursue a Bachelor of Software Engineering, which I completed in 2023 with an outstanding GPA. Now I am building intelligent systems powered by Artificial Intelligence, Image Computing, Image Processing, Machine Learning, Deep Learning, Computer Vision. Passionate about learning every day, exploring new ideas, and transforming research into real-world solutions. Focused on developing advanced AI technologies that enable machines to understand, learn, and make smarter decisions for the future.

Language Proficiency


Bengali

Native | Mother Tongue

English

Fluent

Chinese (HSK 4)

Listening: 78 | Reading: 89 | Writing: 98

Total Score: 265

Arabic

Conversational

Urdu

Conversational

Hindi

Conversational

🎓 Education

🎓

Bachelor of Software Engineering

Anhui University of Technology

GPA: 4.00 Out of 4.00

Engineering
2019 – 2023 | China
🏫

Higher Secondary Certificate (HSC)

Sherwood In't (Pvt) College

GPA: 5.00 Out of 5.00

Science
2016 – 2018 | Bangladesh
📚

Secondary School Certificate (SSC)

Fulbari Hamidia Dhakil Madrasa

GPA: 5.00 Out of 5.00

Science
2011 – 2016 | Bangladesh

🏆 Awards

Anhui University of Technology

AHUT Scholarship
"First Level"
for Academic Performance

Anhui University of Technology

Academic Year 2021 - 2022

AHUT Scholarship
"First Level"
for Academic Performance

Anhui University of Technology

Academic Year 2020 - 2021

AHUT Scholarship
"Second Level"
for Academic Performance

Anhui University of Technology

Academic Year 2019 - 2020

Chinese Film and Television Online Dubbing Competition
"Encouragement Prize"

Anhui University of Technology

May - 2021

📜 Certifications

Machine Learning - Dimensionality Reduction

IBM • September 19, 2025

Cancer Image Detection With PyTorch

IBM • September 17, 2025

Build an IoT Blockchain Network for a Supply Chain

IBM • September 15, 2025

Agentic AI Hands-on

IBM • September 13, 2025

IBM Cloud Essentials

IBM • September 17, 2023

Deep Learning Fundamentals

IBM • September 17, 2023

Data Analysis with Python

IBM • September 4, 2023

Introduction to JavaScript

BOHUBRIHI • August 16, 2023

Data Visualization with Python

IBM • August 15, 2023

HTML5, CSS3 & Bootstrap 4 For Web Development

BOHUBRIHI • August 11, 2023

Python 101 for Data Science

IBM• July 31, 2023

Machine Learning with Python

IBM • July 20, 2023

Projects

Trajectory Forecast Multi Object Tracking

Trajectory Forecast is a lightweight, modular extension built on top of Ultralytics YOLO that enables real-time multi-object tracking with future motion prediction. It combines detection, tracking, motion history modeling, and velocity-based forecasting into a unified pipeline that can be used both as a command-line tool and as a Python library.

OpenCV-Python Ultralytics NumPy Matplotlib Pillow
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Traffic Analysis

Object Detection with oriented boxes using the off-the-shelf YoloV8s-OBB model from Ultralytics compiled and running on the accelerator. It implements an object detection pipeline for oriented bounding boxes (OBB) where Objects are detected in an image. Bounding boxes and keypoints are generated to represent detected objects. The bounding boxes and keypoints are processed for further use in downstream tasks.

OpenCV-Python PyQt5 YOLO Object Detection
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Vehicle Detection

The Vehicle Detection project demonstrates how to perform real-time vehicle detection using a trained vehicle-detection model. The system processes images or video streams and identifies vehicles by detecting their positions within each frame. This project is designed to help developers and researchers quickly understand how to set up and run a vehicle detection pipeline for applications such as traffic monitoring, intelligent transportation systems, and smart city solutions.

Python OpenCV NumPy TensorFlow Pytorch
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Advanced Lane Detection

The Advanced Lane Detection is a computer vision–based project designed to detect and track road lane markings using image processing and classical computer vision techniques. The system processes road images and video streams to identify lane boundaries in real time.

Python OpenCv NumPy Matplotlib
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Car Parking Space Detection

Deep learning and Computer vision to monitor parking lots in real-time. It detects cars using the YOLOv8 object detection model, highlights occupied and free parking spaces, and provides a live count of available slots. This project can help automate parking management, improve efficiency, and reduce time spent searching for parking.

Python OpenCv NumPy YOLO Matplotlib Deep Learning Computer Vision
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Face generation GAN

Generative Adversarial Network. A GAN takes a different approach to learning than other types of neural networks(NN). GANs algorithmic architectures that use two neural networks called a Generator and a Discriminator, which “compete” against one another to create the desired result.

Python TensorFlow Keras Image Classification Image Processing
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Technical Skills

💻

Programming & Scripting

Python C++ R MATLAB Bash/Shell Html CSS JavaScript
🤖

Machine Learning & Deep Learning

Python TensorFlow Keras NumPy Pandas Matplotlib Scikit-learn PyTorch Seaborn XGBoost LightGBM Convolutional Neural Networks (CNNs) Vision Transformers (ViT) Diffusion Models Transfer Learning
👁️

Computer Vision - Image Computing - Image Processing & NLP

OpenCV YOLO Hugging Face Transformers SpaCy NLTK PIL Semantic Segmentation Multi-Scale Feature Extraction Monocular and Stereo Vision Depth Estimation Motion Analysis Lane Perception
🚗

Autonomous Driving & Robotics

Sensor Fusion (Camera, Radar, LiDAR) Object Detection Traffic Sign Recognition Drivable Area Segmentation Multi-Object Tracking Path Planning Autonomous Navigation
🌐

Web & Frontend Development

React.js Vue.js Bootstrap Tailwind CSS Web APIs UI Design Dynamic Content
🗄️

Databases & Backend Development

MySQL PostgreSQL MongoDB Node.js API Development CMS Backend Architecture
☁️

Cloud & DevOps Tools

AWS Docker Git GitHub CI/CD Cloud Deployment
🛠️

Other Tools & Libraries

Jupyter Notebook VS Code Anaconda Google Colab ROS Data Visualization Model Prototyping Virtual Environments Linux

Experiences

Gallery 27

October 2023 to February 2025
  • I worked as a System and Network Administrator at Gallery 27 in the IT and Systems Department. In this role, I managed computer hardware and software, maintained network systems, provided IT support, and ensured data security and system efficiency. This experience strengthened my technical, problem-solving, and communication skills, while also enhancing my teamwork, professional responsibility, and understanding of how IT systems support organizational operations. The practical knowledge and skills I gained have prepared me well for advanced studies and future professional challenges in technology and engineering.

Get In Touch

Contact Information

Location

Bogura, Bangladesh

Email

hosenarafat@126.com

Send Me a Message