I am a research scholar and educator specializing in Artificial Intelligence, Machine Learning, and their applications in medical imaging, medical big data, and multimodal sensor fusion. With a strong academic foundation and hands-on experience, my work focuses on leveraging AI for impactful healthcare solutions. My research spans several interdisciplinary domains, including, Artificial Intelligence | Machine Learning | Multimodality AI Pipelines | LLM | Medical Imaging | Medical Big Data | Segmentation | Classification | Detection | Image Processing | Cyber Physical Systems | Electronics

       Currently, I serve as a Postdoctoral Fellow at the National Health and Medical Big Data Research Institute of Shandong University, where I contribute to projects involving digital twins, medical AI pipelines, and big data fusion. In parallel with my research, I have been teaching Python, Artificial Intelligence, Machine Learning, Image Processing, and Digital Logic Design for over four years across universities, open platforms, and freelance engagements. I take pride in bridging the gap between academic research and real-world applications through collaborative projects and continuous learning.