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Khaled ELKarazle is a research assistant at Swinburne University of Technology Sarawak Campus, focusing on the development of an advanced algorithm for movement and fall detection in medical IoT devices. With a background as a software engineer and web developer, Khaled possesses extensive experience in AI, image processing, and full-stack development, having previously contributed significantly to various projects, including e-commerce solutions and data visualization systems. Khaled's educational journey includes a Doctor of Philosophy in Computer Science and a Master's degree in the same field, both from Swinburne University, alongside a Bachelor's degree in Information Technology. Additionally, experience as a non-medical observer at Sarawak General Hospital involved applying AI expertise for colorectal polyp detection, showcasing a blend of technical skills and medical collaboration.