The  Data, Vibration and Uncertainty (DVU) Group (officially started on 18/09/17) is the research team of Dr Alice Cicirello and it has the ambition to tackle fundamental scientific questions and pressing scientific challenges in Engineering for guiding decision making on critical components, structures and systems.  

We believe that advancing only physics-based models, or experiments or data-driven techniques in isolation, would not be enough to tackle these problems. Our research strategy is based on developing and integrating state-of-the-art physics-based models, laboratory experiments, monitoring, data-driven techniques, system identification,  physics-enhanced machine learning, and uncertainty quantification approaches. 

Most of our research interests focus on the investigation of the dynamic performance of complex engineering systems, critical structures, and important functional components, when subjected to manufacturing variability, uncertainty, nonlinearity and sparse and limited information.  Our aim is to support decision making on such systems at the design-stage and in operating conditions to avoid unexpected failures and/or performance issues. 

Our drive is enabling solutions which are applicable in practice in a broad range of scientific fields and industries, including renewable energy, aerospace, automotive, construction and oil & gas. Some specific examples include: engines, wind turbines, bridges, monitoring systems, frictional contacts. Moreover, we enjoy working in cross-disciplinary environments investigating broader applications.