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-Driven Hardware Security and Embedded Resilience – Explore AI-powered hardware security primitives, anomaly detection, and self-healing mechanisms for IoT, cyber-physical systems, and mission-critical
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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problem. This project will develop a co-printing strategy to print a novel UAS body with novel properties to enhance defence and security applications. The main objectives are: Identify and evaluate
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and adaptive navigation in uncertain environments. Objectives: 1. Uncertainty Modelling: Identify and quantify key sources of positional drift (e.g., model uncertainties, navigational inaccuracies, post
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lower orbit space debris). The increasing density of space objects in Lower Earth Orbit (LEO), including the proliferation of satellite constellations, further exacerbates the risk of collisions and the
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robot can consequently suffers limitations in performance, bandwidth, and stability. The low bandwidth and stability problems result in degraded performance. The main objectives of this project
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areas pages. You will also find links to related staff biographies on these pages which will enable you to contact them directly if you need advice or guidance on your area of interest, and to identify a
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living expenses . Scholarships and bursaries may be available. How to apply Potential students are encouraged to consult the research areas pages. You will also find links to related staff biographies
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to cover their own tuition fees and the living expenses . Scholarships and bursaries may be available. How to apply Potential students are encouraged to consult the research areas pages. You will also find