AI-assisted robust aero-engine structural analysis due to fan blade-off
AI-assisted robust aero-engine structural analysis due to fan blade-off
About the Project Supervisory Team: Dr. Jie Yuan, Dr. David Toal Project description: Robust design is crucial to ensure the durability and reliability of aerospace components throughout their entire life … Read More Read More
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Next-generation statistical models of rivers and transport phenomena for the water industry
Next-generation statistical models of rivers and transport phenomena for the water industry
About the Project This project is offered by the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics ( SAMBa ), for study commencing in September 2025. Overview of the … Read More Read More
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Bio-inspired control of non-equilibrium turbulent boundary layers for efficient low-noise aerofoils
Bio-inspired control of non-equilibrium turbulent boundary layers for efficient low-noise aerofoils
About the Project This project aims to study and identify the beneficial effects of using bio-inspired geometry on aerofoils, enhancing aerodynamic efficiency and reducing the noise generated from non-equilibrium turbulent … Read More Read More
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Resilient Resource Allocation in Dynamic Settings under Uncertainty (RRADSU)
Resilient Resource Allocation in Dynamic Settings under Uncertainty (RRADSU)
About the Project Supervisory Team : Dr Bahar Rastegari, Dr Vahid Yazdanpanah, Prof Sebastian Stein Allocation of scare resources is prevalent in our lives. From allocating drivers and vans for … Read More Read More
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Predicting and monitoring the health of Lake Wairewa using spatio-temporal early warning signals
Predicting and monitoring the health of Lake Wairewa using spatio-temporal early warning signals
About the Project Do you want to do genuinely interdisciplinary research at the interface of applied mathematics, biology and freshwater ecology? Applications are invited for a PhD scholarship at the … Read More Read More
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Towards a clinical MEG system: theoretical and practical insights into the use of optically pumped magnetometers
Towards a clinical MEG system: theoretical and practical insights into the use of optically pumped magnetometers
About the Project Magnetoencephalography (MEG) is a non-invasive medical imaging technique that allows characterisation of human brain electrophysiology by measuring magnetic fields generated by neural currents. Since its invention, MEG … Read More Read More
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Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
Characterisation of tissue microstructure from non-invasive MRI using Machine Learning
About the Project The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including … Read More Read More
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Advanced numerical methods for solving the forward problem in E/MEG
Advanced numerical methods for solving the forward problem in E/MEG
About the Project Electroencephalography (EEG) is a technique that measures the electric potential originating from the brain using electrodes located on the scalp. Its main purpose is to characterise the … Read More Read More
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The semiring of partial transformations: an algebraic and algorithmic approach to modularity
The semiring of partial transformations: an algebraic and algorithmic approach to modularity
About the Project This project will aim to design algorithms to efficiently solve equations in the semiring of partial transformations. This is a theoretical project in an area that combines … Read More Read More
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Programmable networking for Internet of things (IoT) applications
Programmable networking for Internet of things (IoT) applications
About the Project Internet of things (IoT) is a rapidly growing technology that connects physical devices to the internet, allowing them to communicate and exchange data. As the number of … Read More Read More
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