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Field
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Porous construction materials, such as concrete, brick, or wood, are widely utilised in built environments due to their structural strength, durability, and thermal mass. However, their
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insights into the robustness and resilience of land use decisions in an uncertain future. Relevant landscape models will be applied in selected case study countries to explore greenhouse gas flux and
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researcher with expertise in communication, project management, and leadership. You will build a robust national and international network and acquire advanced knowledge essential for implementing critical
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. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
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recovery in critical applications, including aerospace, healthcare, and industrial automation. Research Focus Areas: Predictive Analytics for Fault Detection: Develop AI models that predict potential system
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of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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advancements and evidence-based policymaking within the aviation and energy sectors. The impacts of aviation arises from both CO2 and non-CO2 emissions, including soot, aerosols, water vapor, nitrogen oxides