The University of Sydney
Jinman Kim is an Associate Professor of computer science at the University of Sydney. Kim’s primary research is in the innovative applications of machine learning for biomedical multi-modal image analysis and visualization. He has pioneered algorithms for multi-modal biomedical data processing, including image-omics, multi-modal data processing, and image data correlation to other health data. His algorithms have been applied to e.g., skin lesion / melanoma, cancer imaging, musculoskeletal disorders, fetal ultrasound data analysis and eye disease. He has developed software system for use in various research studies, for example, 3SVR AI-enhanced visualization algorithms is currently going through clinical trial at Royal Prince Alfred (Sydney), and fetal health US imaging informatics algorithms are in used at the Nepean hospital for clinical research.
Kim has actively been involved in research translation. He is the Academic Director of Healthcare Engineering at Westmead – an academic initiative to establish a multi-disciplinary research-driven health precinct. He is also the Imaging Theme Leader of the ARC Training Centre in Innovative Biomedical Engineering on musculoskeletal technologies. He is also the Research Director of the Telehealth and Technology Center, Nepean hospital, where his team has established a research center to innovate through the integration of AI into Telehealth applications.
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