Data Analytics in Engineering

The analysis of data when studying or improving existing technologies as well as developing new procedures and mechanisms is a core and cross-cutting task over the different fields of engineering. Understanding if and how different solutions perform in different settings is essential to ensure that research in engineering delivers reliable results and this is often based on complex experimental settings which deliver challenges when trying to analyse and interpret the corresponding data. Hence, for example, new signal processing or feature selection tools are necessary to extract information from these complex data settings.