Wearable sensors for healthcare applications
Wearable sensors for healthcare applications
About the Project The project will aim to develop new types of wearable sensors that can potentially used in a clinical setting. Through collaboration with University Hospital Southampton, the project … Read More Read More
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AI-enhanced high-fidelity cardiovascular modelling
AI-enhanced high-fidelity cardiovascular modelling
About the Project Are you interested in exploring cardiovascular biomechanics and machine learning in biomedical applications? Be part of a research that merges AI-based medical image processing and multiphysics cardiovascular … Read More Read More
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Modelling and identification of cerebral blood flow control
Modelling and identification of cerebral blood flow control
About the Project Co-Supervisor: Professor David Simpson The project focuses on understanding cerebral blood flow and its physiological control, to improve diagnosis and treatment of brain injuries. The project will … Read More Read More
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Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data
Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data
About the Project This PhD project is part of a cutting-edge research initiative aimed at developing transformative AI solutions for healthcare by leveraging big data to address key challenges in … Read More Read More
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Design for functionally graded 3D printing
Design for functionally graded 3D printing
About the Project This project will investigate methods to design and develop functionally graded parts through 3D printed plastics. The primary focus will be on orthopaedic medical devices used to … Read More Read More
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Catalytic nanocages for in situ drug delivery
Catalytic nanocages for in situ drug delivery
About the Project Therapeutic nanoreactors are innovative nanocompartments that confine one or more biocatalysts (e.g., enzymes) for the in-situ production of therapeutic agents, enabling targeted drug delivery with minimal off-site … 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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Biomedical Control Systems
Biomedical Control Systems
About the Project Developing effective, inexpensive systems for stroke rehabilitation is an urgent, worldwide problem. This PhD research project will develop rehabilitation systems that use functional electrical stimulation (FES) to … Read More Read More
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