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information technology. The projects within the Centre are expected to accelerate research translation and industry engagement through the development and application of digital, robotics and sensor-based
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problems and data types and modality, from large-scale unstructured data, to highly varied sensor data and multimodal data. ADM+S students will participate in a national ARC Centre-based research and
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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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research translation and industry engagement through the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition
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: Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network
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focuses on developing the first-ever closed-loop cardiopulmonary resuscitation (CPR) feedback device. The device uses non-invasive sensors to measure blood oxygenation in the brain and tells the CPR
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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to incorporate diamond quantum sensors into other materials like glasses and polymers to add sensing functionality to optical fibres and polymer-based bioscaffolds.The project involves the processing and
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distribution and transmission network in Australia present a potential solution. This network includes 42,000 km of high-pressure low-carbon steel pipelines for transmission and 97,000 km of low-pressure
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and it involves a large number of computational operations. A network simplification approach will be designed to slim network sizes to suit real time implementations. Robust underwater acoustic