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Skip to main content Main Menu - Primary Home Projects Supervisors Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng Wong Research area
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unavailable or imprecise, either because the species is cryptic and hard to detect by visual monitoring or because current methods struggle to separate individuals from one another. Passive acoustic monitoring
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explored through touch. The RTD is the blind person's equivalent of the computer visual display. The second is genAI-powered conversational agents. These enable the blind user to control the RTD and obtain
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estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual processing, and efficient use of multiple foundation models. The work will combine algorithm development with
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machine learning techniques, the model processes visual data to recognize distinct architectural features, signage, and contextual cues associated with each landmark type. It enhances location-based
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visual and plain language content that accurately translates complex health and research information for non-specialist audiences Coordinating internal and external communications activities, including
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provides a robust alternative for visual attribution. The model tracks unique body movements and postures to create a “gait signature” that can be used to match individuals across different camera feeds
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and deployment of these models into automation scenarios. We seek to develop a human-centred AI solution, a suite of visual tools for integrating and understanding various AI techniques in application
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for the role, as determined by the University. Enquiries: Mr Peter MacLean, Audiovisual Design Manager and Lead Audiovisual Architect +61 400 418 215 Position Description: Senior Audio Visual Engineer
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and videos for symbols, gestures, or contextual clues associated with radical groups or criminal activities. Multimodal approaches that integrate text, audio, and visual data enhance the detection