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Modelling and characterisation of chip formation and machining induced defects of nano-particle toughened Carbon Fibre Polymer Composites School of Mechanical, Aerospace and Civil Engineering PhD
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), radiological and clinical images. The aim of this project is to investigate the use of artificial intelligence and machine learning in automated detection and segmentation of cancer and its microenvironment
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). Modelling tools used will vary according to application but are likely to including process simulation using Population Balance Modelling, DEM simulations and Machine Learning Approaches. Main duties and
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of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality control. Knowledge transfer of the methods developed onto industrial machine platforms will be a
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, comprising immune cells, fibroblasts, and endothelial cells, actively contributes to tumour invasion and dissemination by secreting pro-tumour factors. Advancements in AI and machine learning (ML) offer
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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project by addressing specific case studies or specific targeted techniques. The main tools to be used will come from the discipline of Machine Learning, particularly those based on Bayesian methods
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Intelligent Materials Health Monitoring: Utilising Machine Learning to Ensure the Long-term Stability of Perovskite Solar Cells CDT in Developing National Capabilities for Materials 4.0 PhD Research
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The Centre for Doctoral Training in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing CDT) is a collaboration between the Faculty of Engineering, Advanced
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) improve the estimation method using information from the first part of the work and additional constraints, including a Machine Learning approach. (3) inspect how the mismatched expected and measured