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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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. This position will be part of the National Infrastructure for federated learNing in DigitAl health (NINA) initiative and will drive high-quality research in federated and multimodal learning, with a particular
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability
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evolved from limited, heavy, and computer-tethered devices to standalone, lightweight alternatives resembling conventional screens. Furthermore, technology to digitally capture and depict physical