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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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models to desing institutions to do science better: these may include contests in grant-seeking, review process for publications, ways to diseminate scientific findings and other mechanisms that are part
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law
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Using the Project-1 hiPSC platform, this project builds AI pipelines to learn disease-relevant representations from cellular images, fused with multi-omics. Models will classify diagnosis and predict
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9 Dec 2025 Job Information Organisation/Company Monash University Department School of Mathematics Research Field Other Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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. This would provide thousands of diverse example images with corresponding body part locations. These data would be used to train a deep learning model 5, 7 . The model’s high-quality body part predictions may
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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Australia. The scholarship was created in honour of Ric (Frederic) Bouvier who was an icon in the evolution of ambulance services and the paramedic profession in Australia. Total scholarship value $10,000