Najeeb Ullah

Hi, I'm Najeeb Ullah

AI Research Assistant at IFIT Lab

Passionate about Deep Learning, Medical Imaging, and Smart Healthcare Innovation.

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About Me

I’m an AI researcher and graduate student at National Taipei University, passionate about using deep learning and medical imaging to improve healthcare diagnostics.

My current research focuses on developing AI-based detection models for dental implants in panoramic radiographs, combining computer vision and clinical insight to enhance diagnostic precision and workflow efficiency.

Education

MSc. Smart Healthcare Management (SHM)

National Taipei University, Taiwan

2025 – Present

BSc. Software Engineering

Hazara University, Pakistan

2020 – 2024

Research Projects

Technical Skills

  • AI & Machine Learning

    PyTorch · TensorFlow · YOLOv8/YOLO11 · OpenCV · CNNs

  • Programming

    Python · C++ · SQL · FastAPI · JavaScript (basic)

  • Tools & Platforms

    MATLAB · VS Code · GitHub · Streamlit · Colab

  • Languages

    English · Urdu

Certificates & Training

100 Days of Code: Python Bootcamp

Udemy | Issued Nov 2025

Build a Computer Vision App with Azure

Microsoft | Issued Oct 2025

General Occupational Safety and Health

Taiwan OSHA | Issued Jun 2025

Generative AI Explained

NVIDIA | Issued May 2025

Academic Research Ethics Education

AREE Taiwan | Issued May 2025

Build a Webpage with HTML & CSS

Board Infinity | Issued Jul 2023

Advanced Python for Data Analysis

MachineLearning.org.in | Issued Aug 2022

R Programming with Data Structures & Algorithms

Learn.MachineLearning | Issued Aug 2022

Publications & Ongoing Research Journey

My academic journey is all about exploring how AI and deep learning can make a real difference in healthcare and smart systems. I enjoy working on research that connects technology with practical use — finding ways to make diagnosis, treatment, and health monitoring more accurate and efficient.

🚀 As I continue learning and growing in this field, I’m excited to turn my research ideas into meaningful contributions and share them through future publications.

Get in Touch

Open to collaborations and new ideas in AI research, healthcare innovation, and deep learning.

Let’s build the future of intelligent healthcare together.