Big Data and Analytics deals with structuring and analysing high volume data, enabling insightful and actionable information to be extracted. Examples include high resolution data, such as imaging or acoustic data, or data collected from multiple or numerous entities and a variety of sources (including sensing), as encountered with industrial machines.
Theme leader: Prof. Honor Powrie