معرفی
Ala Al Kafri is a Senior Lecturer in Computer Science at Teesside University's Department of Computing & Games, affiliated with the Centre for Digital Innovation. With over 16 years of teaching experience across multiple institutions globally, he specializes in machine learning, artificial intelligence, and medical imaging applications. His research focuses on AI-driven diagnostics for lumbar spine diseases, with notable contributions to MRI analysis using convolutional neural networks. He has collaborated on projects involving physiotherapy education technology, autism screening, and multidisciplinary learning initiatives.
Education includes a PhD in Machine Learning for Lumbar Spine Disease Diagnosis from Liverpool John Moores University (2019), an MSc from New York Institute of Technology (2005), and a bachelor’s degree. Professional development includes a Postgraduate Certificate in Academic Practice.
Research interests span medical AI, data science, and education technology, with emphasis on practical applications in healthcare and learning environments. Key collaborations include developing an AI tool for lumbar spine disease prediction with University Multimedia Nusantara, and creating video-based physiotherapy assessment systems.
Recent projects include AI-powered physiotherapy education systems, autism screening using ML, and smart highway vehicle detection. His work integrates technical innovation with real-world societal impact through multidisciplinary approaches.
