Electronics and Electrical Engineering

Electronics and Electrical Engineering at the School of Engineering

The integration of distributed and non-dispatchable renewable energy into the wider energy system (electricity, heat/cold and transport) poses significant challenges for the design and operation of the energy system. For example, due to the increasing fraction of non-dispatchable generation it becomes more important to provide novel mechanisms to balance supply and demand.

Because of the ageing population, the number of people with dementia will increase dramatically in the next years. Alzheimer's disease is the most common cause of dementia and it is particularly difficult to diagnose. We need better ways to detect and monitor the changes that Alzheimer's disease causes in the brain. To achieve this, we will consider the electroencephalogram (EEG), an affordable piece of equipment that can be used outside hospitals to measure brain activity safely at several locations over the scalp (called "channels").

We will create new signal processing tools to analyse EEG brain networks based on tensor factorisations to inspect how the components of brain activity networks change with time.

Research Themes: 

  • Signal and Image Processing

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