About the Project
Visualisation is an effective way of gaining insights into different types of data. In many cases, users still have to derive insights by interpreting the data visual clues presented by a visualisation system.
The interest in mutual distributed technology, such as Blockchain network, has been rapidly increasing. According to a European Parliament’s report, the technology has an immense potential and could change the lives of many. Such network generates a large amount of data with unique characteristics. This is an example of Big Data and normally a straightforward visualisation is not very effective.
With sequences of transactions and associations, graph visualisation is suitable for this type of data. However, due to the large size of the full transaction graphs, any visualisation effort has to compromise between which subset of data to visualise and how to suppress unnecessary details. Therefore, in this project we propose a new visualisation system to address those drawbacks.
At present, virtual reality has been widely used. Head mounted displays (HMDs) produce the feeling of actually being immersed in the virtual world. It allows users to effectively explore complicated blockchain network graphs, etc., without having to project them into 2D display. In summary, the aims and objectives of the project are:
The overall aim of the project is to develop a novel machine learning assisted immersive visualisation system for mutually distributed ledger network.
This research project and its underlying publications will lead to a REF case study. This research falls under the REF UoA11 area and will help develop a practical system. The work done as part of this PhD can lead to a prototype visualisation system to be used and further developed in the industry. We foresee that this PhD project will open a new research direction and increase Bournemouth University’s presence in this emerging research area. With the novelty of the approach, it is expected that a number of high quality (3* or 4*) journal articles will be published, and the objective of the project is in line with Bournemouth University’s vision on fusion. The results from this research can also be applied to other applications.
Blockchain’s decentralised transaction and data management move some control over daily interaction with technology away from central control by elites. The technology redistributes the control to users in general making systems more transparent and more democratic. According to (European Parliament Research Service 2017), this will not probably not result in a revolution. The visualisation system proposed in this project is expected to have a great impact on blockchain network. The results from this project can be commercialisation. The era of Big Data has been rapidly promoting the data visualisation market. According to Mordor Intelligence the market will increase at a com pound annual growth rate (CAGR) of 9.21 % from $4.12 billions in 2014 to $6.40 billions by the end of 2019.
You will have an opportunity to work closely with Caspia, which has intensive experience in software/app development and Blockchain, and gain more real-world experience. Generalist and specialist development needs of individual student will be identified and delivered. The personal, professional, career learning and development will be provided. The student will have access to, and are encouraged, by peer to peer learning and support.
How to apply:
Applications are made via our website using the Apply Online button below. If you have an enquiry about this project please contact us via the Email NOW button below, however your application will only be processed once you have submitted an application form as opposed to emailing your CV to us.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 4 years.
The PhD Studentships are open to UK, EU and international students. Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
• A 1st class honours degree and/or a relevant Master’s degree with distinction or equivalent. If English is not your first language you’ll need IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component).
Additional Eligibility
The ideal candidate should have either a 1st class honours degree or a Master’s degree with distinction or equivalent in computer science, engineering or related disciplines
Essential: computer programming knowledge and skills
Desirable: willingness to learn new different software tools, digital marketing, PHP, Symfony, Codegnitor or any other PHP framework.
Funding Notes
Funded candidates will receive a maintenance grant of £14,777 per year to contribute towards living expenses during the course of your research, as well as a fee waiver for 36 months.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
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