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Brain wave analysis and modelling with graph signal processing

  • Full or part time
    Dr N Boulgouris
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

Brain wave analysis and modelling is an increasingly important research area, not least because of its applications in bio-medicine, rehabilitation, and next-generation human-computer interfaces. This PhD project will use graph signal processing is order to analyze and model the signals that are captured using a grid of brain signal (EEG) sensors. Graph signal processing will allow the study of these signals by taking into account the locations of the respective sensors on the the head and the underlying brain functions.This approach will enable the formulation of advanced brain models. The resultant brain models will be combined with machine learning techniques (deep neural networks) in order to develop intelligent systems that can interpret human thinking for the purpose of controlling devices or communicating non-verbally with the environment.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)

How good is research at Brunel University London in General Engineering?

FTE Category A staff submitted: 63.45

Research output data provided by the Research Excellence Framework (REF)

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