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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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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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concept of this project lies in the design of novel perovskite materials as both electrolyte and electrodes for facilitating water splitting for hydrogen production. Such new technology is anticipated
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to achieve energy and environmental sustainability for Australia. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type
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. The candidate is expected to show interest and enthusiasm in scientific research in catalysis, energy, and engineering and to develop knowledge in renewable conversion technologies. Student type Future Students
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the value of the spent battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research
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and expertise in energy storage technology. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by
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are available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidates will work with Associate