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Professor Felician Campean

Information about Professor Felician Campean at the University of Bradford.

Photo of Professor Felician Campean


Felician is a Professor in Automotive Reliability Engineering and Director of the Automotive Research Centre (since 2012). He holds a PhD in Reliability from Brunel University (1998) and a Mechanical / Manufacturing Engineering Degree from Transilvania University (1990). Worked in the bearings industry before joining Academia as a lecturer in manufacturing automation. Has joined University of Bradford in 1998 as a Research Fellow, and progressed to Senior Research Fellow (2000), Senior Lecturer in Competitive Design (2005), and Professor in 2011. Felician has led the Bradford Engineering Quality Improvement Centre (BEQIC) since 2000; BEQIC is a major hub for collaborative applied research and knowledge transfer in product development, with a focus on quality and reliability engineering. He has led several major programmes of workplace based research and postgraduate development including the MSC by research / MPhil / PhD in Engineering Quality Improvement (partnership with Ford Motor Company) and the MSc in Engineering and Process Excellence (partnership with Jaguar Land Rover - Technical Accreditation Scheme) - underpinned by a programme of research led short courses.Since 2012 Felician has been leading the Automotive Research Centre, the University's R&KT Hub for collaboration with the Automotive Industry. In 2016 he has launched together with Professor Daniel Neagu (Computer Science) the Advanced Automotive Analytics Laboratory - in collaboration with Jaguar Land Rover. Felician has established an extensive track record research and knowledge transfer collaboration with the global automotive industry, including companies like Ford, Jaguar Land Rover, BAE Systemns, Tata Motors, Honda, Cummins Turbo Technologies, Webasto, and Gates Corporation. Current research interests revolve around modelling complex systems, including model based methods for systems engineering, reliability, robustness and resilience analysis for multi-disciplinary complex systems, big data analytics methods for systems design and lifecycle management, multi-disciplinary design optimization applied to complex systems, modelling complex manufacturing and product development processes. Major recent research projects have focused on engine and powertrain multidisciplinary modelling and optimisation, automotive model-based systems engineering design based on Failure Mode Avoidance, the use of big data analytics for intelligent personalised powertrain healthcare, model based testing and verification of CPS. Felician has taken on the role of Associate Dean - Research & Knowledge Transfer in the Faculty of Engineering and Informatics since January 2017.