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Field
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project’s focus is to: Conduct cutting-edge experiments to investigate how surface texture affects seal performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with
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from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
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Primary supervisor - Dr Penelope Pickers Background Current projections of the global land carbon sink are widely divergent, because there is currently no robust method to separate net ecosystem
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and flight path analysis
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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, the so-called ‘Dark Kinome’. These knowledge gaps limit our understanding of signalling networks, and emerging evidence links several of these understudied kinases to ageing, cancer, and neurodegenerative
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, optoelectronic, neuromorphic; Scale-up and Systems - Nanomanufacturing, cellular manufacturing, sensors /actuators, bioelectronics, IoT, theranostics; Frontiers in Nano-Metrology - in-situ nanometrology, electron
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changes in ecosystem function, fisheries productivity and the biological carbon pump. As imaging technologies become increasingly accessible alongside traditional net sampling, new opportunities
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core stages: Data Integration and Preprocessing: Develop a scalable, automated pipeline to collect, synchronise, and merge heterogeneous datasets from sources including OpenFlights, OpenSky Network