Stratis is a Reader in Dynamics & Structures at the Mechanical, Aerospace and Automotive Engineering School and member of the Future Transport & Cities Institute. He is an expert in Dynamics, essentially at the intersection of signal processing, system dynamics, sensor fusion, and soft computing. He has significant expertise in the management of R&D projects having successfully completed more than 25 funded research projects. Stratis has authored more than 100 publications in scientific journals and conferences. He is currently the Academic director of the Centre for Connected and Autonomous Automotive Research and is member of the editorial board of the International Journal of Vehicle Systems Modeling and Testing. He participates as associate member in CARTRE, is a member of PEARS standardization initiative and member of the bsi committee on Intelligent Tranportation Systems. He is currently participating in three research projects on ADAS and automated vehicles, funded by the EU and Innovate UK. Two of them are the TIC-IT and Digital CAV Proving Ground projects, which are part of the CAV testbed eco-system currently developed in the UK.

Dynamics, Signal Processing, Optimisation, Soft Computing

Nowadays, getting simulation results using models with millions of Degrees of Freedom and measurement data from numerous sensors has become relatively straightforward and the problem does not lie any more in getting the information but in identifying which information is trustworthy and informative for model development. The quality of data can significantly influence the results and therefore "bad data" need to be removed. Furthermore, there is a growing need to move beyond statistical correlation and black-box models, towards methods that provide insight and a better understanding of the process involved. My motivation is to develop methods that combine models and Artificial Intelligence techniques for the analysis and development of intelligent systems.