Institute for Future Transport and Cities

The purpose of this project is to develop generic new methods and tools in the detection and prediction of anomalies in time series based on novel concepts like sliding correlation coefficient, natural time analysis and machine learning with applications in a range of diverse systems. The first priority here is the outcome of the applications to constitute independent studies. Finally, since, the impact of this project will be both direct and valuable will improve the engagement between academia and industry.

The first priority here is to investigate novel materials for a range of safety and energy applications. Furthermore, the question here is whether it is possible to combine Artificial Intelligent methods and/or develop algorithms to reduce the amount of the demanding calculations. Currently, this topic has a high and direct impact both in academia and industry, as these methods will be transferable in numerous principles such as aerospace, mechanical and automotive engineering, power electronics.

This project aims to develop a traffic monitoring and simulation platform to facilitate urban mobility management, public and road security. This project will focus on the development of novel computational intelligence techniques able to exploit Big Data pertaining to traffic management purposes.

The aim is to produce an innovative design/manufacturing approach that will provide for SEV a flexible and resilient approach to manufacturing that incorporates the new demands that are placed upon the system in terms of technology innovation and external factors identified during the research activity (e.g. regulatory activity). The research will be supported by the activities of international working groups on SEV and e-mobility.

Coventry University has been voted ‘Modern University of the Year’ three times running by The Times/Sunday Times Good University Guide. Ranked in the UK’s top 15 (Guardian University Guide), we have a global reputation for high quality teaching and research with impact. Almost two-thirds (61%) of our research was judged ‘world leading’ or ‘internationally excellent’ in the Research Excellence Framework (REF) 2014.