Machine Learning in Manufacturing Summer School: Addressing the challenges of Industry 4.0

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Tue 12 Sep 2017 - Fri 15 Sep 2017

All participants to this Summer School need to submit their Expression of Interest form shown on NCAF home page.

Aim: Industry 4.0, Digital Manufacturing, Big Data Analytics have created new opportunities for cross fertilisation of machine learning and manufacturing streams. The objective of this summer school is to bring together research students and early career researchers in statistics, machine learning and data mining community with interest in manufacturing as well as manufacturing researchers who want to see how information technology and artificial intelligence can help them. The summer school wants to bring these interdisciplinary teams together.

We are looking for machine learning opportunities offered by following themes, but of course, we are not limited by them.

  1. Predictive Analytics and Data Visualisation in Manufacturing
  2. Supply Chain Management and Connected Enterprise
  3. Automated Inspection and Image Processing
  4. Human-Robot and Robot-Robot Interactions