. Abdullah

I am a final-year Ph.D. researcher in Artificial Intelligence (AI) at James Cook University (JCU) in the Department of Information Technology, supervised by Dr. Euijoon Ahn. My research focuses on computer vision, generative AI, and self-supervised learning for medical imaging. I aim to develop robust and generalizable AI systems by integrating deep learning and generative modeling techniques to improve medical image analysis and clinical decision-making.

Prior to joining JCU, I worked as a Research Assistant at Inje University, South Korea, where I collaborated with hospitals and industry partners on applied AI research. I also completed my M.S. at Inje University under the supervision of Prof. Hee-Cheol Kim. In addition, I have industry experience working with startups on computer vision applications, including real-time face-shape identification and baseball speed detection systems. My research interests include AI, deep learning, computer vision, medical imaging, foundation models,  self-supervised learning, diffusion model and GenAI. I have worked with X-rays, histopathology, MRI, and ultrasound imaging, focusing on developing practical AI solutions for healthcare.

Additionally, I serve as a Topic Coordinator for Frontiers in Digital Health and actively contribute as a reviewer for leading venues, including IEEE TMI, MICCAI, and journals from major publishers such as IEEE and MDPI. 

Research Interests:

• Artificial Intelligence, Machine Learning, Deep Learning, Weakly Supervised Learning, Self-Supervised Learning, Foundation Models, Computer Vision, Large Language Models (LLMs), Vision-Language Models (VLMs), LLMs with Retrieval-Augmented Generation (RAG), Agentic AI, Diffusion Models, Generative AI (GenAI).