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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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Professor Wensu Chen on his Australian Research Council Future Fellowship project regarding “Multi-hazard resilient hybrid modular structures” along with Professor Hong Hao. This project aims to develop multi
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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: Bachelor degree (first-class honours or upper second-class honours) in Civil and Structural Engineering or related fields. Language requirement: IELTS, Overall 6.5, Speaking, Writing, Reading and Listening
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biomineralization plays a critical role in biogeochemical cycling as well as has important environmental applications especially in the area of sustainable construction materials. But much of our knowledge in
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planes and enable the in-situ growth of active nanoparticles. These lattice planes inherently exhibit distinct properties, including defects, electronic structures, and a tendency to form nanoparticles
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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty