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performance. Research in the group is a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling
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al. 2023). This study has not been performed in multi-dimensional simulations due to a lack of available simulation software. Ruan et al. (2020) developed the first beam-MHD hybrid model capable
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to handle constraints and optimize the performance or economy of the system. One of the main barriers to adoption of MPC for power system control (and, indeed, large-scale systems in general) is its
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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Overview The Clinical Trials Research Unit (CTRU) is a UK Clinical Research Collaboration (UKCRC) -UKCRC-registered clinical trials unit providing high-quality support in running clinical trials in
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robots have the task to inspect underground sewer and clean water pipe networks. The robots are equipped with different sensors and with data from them can perform intelligent sensing and navigation
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volumes of data and high dimensional systems. We have two case studies in particular: intelligent transportation systems and search and rescue. In both case studies there are elements of data collection via
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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data science, computer programming, simulation modelling, ecological theory and climate science, with the potential for fieldwork or ecological experiments in Australia. We welcome applications from
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to enhance the stability and performance of dynamical systems. We will focus on systems described by ordinary differential equations (ODEs) or partial differential equations (PDEs). A key insight is that time