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Application of Artificial Intelligence in Scaling the Blockchains

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  • Full or part time
    Dr M Sedky
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Applications are invited in the emergent areas of AI and its application in scaling the Blockchains. The blockchain technology is perceived by the computing community as the new developing technology that will replace the middleman and direct the digital services into a self-governed and driven architecture. Blockchains have proved throughout the past three years to be a promising replacement to the third trusted party paradigm. However, it is still far from the actual replacement of the current systems that have been lingering around for years like banks and state authorities. The investments in blockchains are increasing to include cryptocurrencies and other applications. It is time to consider the scalability problems that hinder the adoption of blockchains in the real world.

One of the key challenges to be solved is that the current techniques for Blockchains lack the ability to handle dynamic situations whereby process conditions can change in a seemingly random way to specific changes in operation. Through AI, it is possible to overcome this limitation. AI may offer improved mechanisms to validate transactions, identify invalid or malicious ones soon enough to save computations and decrease network traffic and to verify smart contracts as well as improving their quality.

In this project, you will study the challenges facing the scalability of a blockchain, investigate how AI techniques can be employed to scale blockchains operations. You will also develop Machine and Deep learning models that present a novel solution to this real-world problem.

Specific requirements

* You will have or expect to have a UK Honours degree at 2.1 (or above), a Masters degree, or equivalent qualifications in computer science, computational mathematics, statistics, or engineering.

* Familiar with a programming/scripting language (C++ or Python).

* Experience of machine learning and deep learning is beneficial.

Informal inquiries can be made to Dr Mohamed Sedky ([Email Address Removed])


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