The Chair focuses on exploitation of sensing data and their fusion with engineering models for delivering data & physics informed virtualizations of operating structures and assets.
A main domain of application for this hybrid approach is wind energy infrastructure. Research areas include deep learning tools that process aerodynamic and structural response data to provide information on the status of a wind turbine structure, acoustic Internet of Things (IoT) measurement systems for wind turbines and decision support tools for optimal operation and maintenance at the wind farm level.