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Project title: Biometric deepfake to physical attack instrument assessment Supervisory Team: Richard Guest and Jennifer Williams Project description: Deepfake technologies have increased
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range of opportunities to enhance your professional development and transferable skills. The Faculty of Engineering and Physical Sciences covers diverse topics in the areas of Chemistry and Chemical
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of Engineering and Physical Sciences, next page select “PhD Elect & Elect Eng (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Hywel Morgan Applications should
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fields of science and engineering like light weight design, engineering, medical applications, dampers, energy absorbers, thermal management, artificial intelligence and many more. The proposed topic
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a medical diagnosis based on a similarly spurious rule such as visible marks left by medical previous treatments . It is therefore difficult to ensure that the models we train are reliable
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equivalent to medical CAT scanning) provides an excellent tool to address AM inspection, but can be difficult to apply to in larger components. Working as part of a well-established group of PhDs and Doctoral
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collaboration with partners at GE Healthcare. The project focusses on development of new metal complexes for radiofluorination for potential applications as next generation medical imaging agents via positron
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model of complex systems, considering both cyber and physical aspects, and the human element. Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised
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. The project will involve a detailed study into the physics of nonlinear frequency-converted fibre lasers operated at very high-power levels to formulate a strategy for power scaling and to determine the
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& Security (CISDnS), which will recruit motivated and inquisitive candidates across the themes of Digital, Physical and Biological systems to provide a diverse and interconnected cohort training environment