Jinman Kim

Professor Jinman Kim is a Professor of computer science at the University of Sydney. He leads the Biomedical Data Analysis and Visualisation (BDAV) Lab at the School of Computer Science and serves as the Imaging Theme Leader of the ARC Training Centre in Innovative Biomedical Engineering on musculoskeletal technologies. He is also the Director of the Telehealth and Technology Center, Nepean hospital. Prof Kim co-leads the ‘digital health imaging’ initiative as part of the Faculty of Engineering’s Digital Science Initiative. His research interests include image processing, deep learning, computer vision, pattern recognition, neural networks, and adversarial machine learning.

Jinman Kim is a researcher in the School of Computer Science at the University of Sydney, specializing in Medical Visualisation, Medical Image Segmentation, and Telehealth. Their work focuses on developing advanced computational techniques for medical image analysis, including deep learning models for tumor segmentation, dermatological image processing, and AI-driven clinical decision support systems. Kim's research also explores the integration of multimodal data, such as PET-CT images, for improved diagnostic accuracy and the application of AI in radiology for conditions like prostate cancer and cardiovascular disease. Their contributions span benchmark datasets, automated segmentation methods, and telehealth innovations aimed at enhancing healthcare delivery.