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to integrate floating offshore wind turbines and wave energy converters to capture wind and wave energy. The hybrid system’s dynamic responses will be investigated and advanced vibration control technologies
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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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
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networks. C2 research that better reflects the rich dynamics and complexities that occur in real-world contexts has the potential to result in major benefits for many sociotechnical systems. Therefore
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systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
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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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with Master degrees with technical publications and research experiences in structural engineering, structural dynamics and protective structures are preferred. Application process To apply, please send
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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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 of Science