AI and Machine Learning for Digital Manufacturing

This program develops AI and machine learning models to predict, prevent, and resolve manufacturing challenges. The focus is on creating models that improve automation, product quality, and production efficiency by addressing issues before they arise.

Aims:

  • Develop AI/ML models for automated diagnostics and predictive maintenance using data from various sources.

  • Design ML techniques for monitoring product quality and consistency.

  • Create data-driven optimisation solutions using reinforcement learning to enhance production planning and task scheduling.

Outcomes:

  • This program will develop advanced AI and ML models that will automate diagnostics, predict faults, and improve product quality, boosting overall factory efficiency.

Program Leader: Prof. Helen Huang