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conjunction with Curtin University, and supported by the Department of Mines, Industry Regulation and Safety (DMIRS) and industry. This PhD candidate based at Curtin University will develop vision-based
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intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods
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teaching experience or lab demonstration skills. Candidates are required to hold a PhD in Metallurgical Engineering, Chemical Engineering, Chemistry, Applied Chemistry, Materials Science or related field
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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AI models including computer vision will be complemented by some experiment conduct experiences. The applicant must be eligible to enrol in PhD program at Curtin University, and physically present in
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landing sites for future human and robotic landing missions. The work will involve trade studies by analysis, imaging system development, embedded electronics, computer vision, assembly, ground testing in
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Organisation Collaborating Centre for Climate Change and HIA at Curtin University to support low- and middle-income countries meet the sustainable development agenda. The proposed PhD project aims to: • Utilize
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video as it does not require wearing a device and remebering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due to false privacy concerns, cost, and
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team of collaborators and stakeholders with expertise in biomechanics, spatial and speech sciences, computer vision, machine learning, and clinical experience in the diagnosis/management of Speech Sound
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, can improve water management practice. Develop a shared vision and process with community and water professionals for sustainable urban water management. Ancient water technologies and indigenous