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Data analytics

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data. There are applications in many areas like health, brain studies, retail sector, banking, social media, etc. For example, people can experience different emotions when listening to music. A growing number of studies have investigated the brain structures and neural connectivities associated with perceived emotions. However, very little is known about the effect of an explicit act of judgment on the neural processing of emotionally-valenced music. The aim of the project is to extract consistent information, which requires development of novel techniques and tools. The project will review existing techniques and develop new and improved ones.

This project will involve programming, signal processing, machine learning, mathematical analysis, and good writing ability for presentation of technical work. An ideal candidate will have a very good Master degree or a First Class Bachelor degree. Below are some publications from my group. These will give you good indications of the work we have done already and the developments of our ideas, techniques, and implementations.

Below are some publications from my group. These will give you some indications of the work we have done already.

  1. B Abu Jamous, R Fa, and A K Nandi, "Integrative Cluster Analysis in Bioinformatics", Published by John Wiley & Sons, Chichester, West Sussex, UK, 2015 (ISBN 978-1-118-90653-8).
  2. C Liu, E Brattico, B Abu Jamous, C Pereira, T Jacobsen, and A K Nandi, “Effect of explicit evaluation on neural connectivity related to listening to unfamiliar music", Frontiers in Human Neuroscience, DOI: 10.3389/fnhum.2017.00611, vol. 11, (13 pages), 2017.
  3. B Abu Jamous, F M Buffa, A L Harris, and A K Nandi, “In vitro downregulated hypoxia transcriptome is associated with poor prognosis in breast cancer", Molecular Cancer, DOI: 10.1186/s12943-017-0673-0, vol. 16, no. 105, (19 pages), 2017.
  4. C Liu, B Abu Jamous, E Brattico, and A K Nandi, “Towards tunable consensus clustering for studying functional brain connectivity during affective processing", International Journal of Neural Systems, DOI: 10.1142/S0129065716500428, vol. 27, no. 2, 1650042 (16 pages), 2017.
  5. B Abu Jamous, R Fa, D J Roberts, and A K Nandi, “Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis", BMC Bioinformatics, DOI: 10.1186/1471-2105-15-322, vol. 15, no. 322, 2014.
  6. V Alluri et al., "From Vivaldi to Beatles and back: predicting lateralized brain responses to music", NeuroImage, vol. 83, pp. 627-636, 2013.

This project will involve programming, signal processing, machine learning, mathematical analysis and good writing ability for presentation of technical work.

An ideal candidate will have a very good Master degree or a First Class Bachelor degree.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

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: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible 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%.