Ruoyan Meng is a first-year PhD student at the Queensland University of Technology’s Cardiovascular Technology Laboratory. He holds a bachelor’s degree in Internet of Things Engineering from Hebei University of Technology and a master’s degree in information technology from the University of New South Wales. With a background in information processing, Ruoyan joined a new drug research and development project as an intern and gained experience in processing biological data from cells, which aroused his interest in biomedical engineering. Through his PhD research, Ruoyan aims to link his knowledge of artificial intelligence to the field of biomedical engineering. Specifically, Ruoyan and his supervision team are working to develop an auto diagnosis of Intracranial Aneurysm Vulnerability based on multi-modal machine learning to provide a new approach for intracranial aneurysm rupture risk stratification through medical images, computational fluid dynamics and other diagnostic technologies.
Thesis title
Data-Driven Multi-Modal Risk Assessment of Intracranial Aneurysm Vulnerability
Principal Supervisor
Associate Supervisor