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Intelligent Big Data Analytics for Manufacturing and Engineering Applications

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

About This PhD Project

Project Description

Information processing and understanding using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets, making sense of ambiguity in data that is often noisy and not always robust. The application of AI, Big Data and IoT technologies in the manufacturing industry is an increasingly competitive, imperative, but underutilised or ignored, especially in SMEs.

Research aims & objectives

This project will explore new Big Data Analytics, IoT and Machine Learning methods to enhance manufacturing processes. The biggest benefit of Big Data and IoT enabled intelligent technologies in a manufacturing environment is that real-time monitoring of the data gathered from the production process provides the information needed for making the right decisions in time to maintain product consistency and optimal throughput. This capability can also be used to develop fully or partially automated production systems to increase productivity and performance, and enhance optimum output rates.

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