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Associate Professor Zongyuan Ge conducts interdisciplinary research at the intersection of Medical Artificial Intelligence, Computer-aided Diagnosis, Biomedical Engineering, Digital Health, and Medical Imaging. He is a multi-award-winning medical information science technology entrepreneur whose research leverages cutting-edge AI technologies using large-scale multi-modality medical data including imaging, medical records, and gene data. His work helps clinicians' medical knowledge to improve tasks related to diagnosis, prognosis, and treatment for multiple health conditions. Zongyuan holds a tenure position at Monash University's Faculty of IT and the Faculty of Engineering, where he leads the Monash Medical AI group. He has significantly contributed to AI technology product development, including healthcare monitoring products that have received multiple regulatory approvals. He has a strong publication record with more than 100 senior author publications in top-tier journals and conferences. Zongyuan is also actively engaged in various academic and professional communities, coordinating programs and serving on technical committees for top-tier conferences in AI and medical imaging. His work has secured more than 35 million dollars in funding and has impacted millions of patients worldwide.
Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.