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The SAFI Approach

The task of engineering increasingly sophisticated smart and interconnected systems has become commonplace in the automotive and aerospace industries.

This demands a fresh approach and new sets of skills to overcome complexity and multidisciplinary challenges.

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Meet the team

Professor Felician Campean

Professor of Automotive Reliability Engineering and Director of the Automotive Research Centre

photograph of Professor Felician Campean

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Contact

Email
[email protected]
Phone
01274 234569
photograph of Professor Felician Campean

Professor of Automotive Reliability Engineering and Director of the Automotive Research Centre

Prof Daniel Neagu

Professor of Computing

Daniel Neagu, Professor of Computing at the University of Bradford.

Daniel Neagu's research focuses on Artificial Intelligence techniques applied in (Automotive) Engineering, Product Safety, Toxicology, Healthcare, Online Social Networks, Data Quality, Big Data. Daniels research has been motivated by his desire to advance the AI field by studying systems from rigorous computational perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of experts knowledge and digital information. He strongly believes Computer Science is now a media for knowledge representation, exchange and retrieval to serve multidisciplinary objectives and purposes. Mining information to identify key attributes and making unknown, hidden, distributed information accessible to people plays a vital role in the progress of science and technology, thus Daniels work addresses applications as diverse as health, security and entertainment.
Research Groups: Artificial Intelligence

More about Daniel here>>

Contact

Email
[email protected]
Phone
+441274 235704
Daniel Neagu, Professor of Computing at the University of Bradford.

Professor of Computing

Dr Amr Rashad Ahmed Abdullatif

Assistant Professor in Computer Science

A headshot of Dr Amr Rashad Ahmed Abdullatif.

Amr is an Assistant Professor in Computer Science. He has extensive industry experience working on several projects with General Electric, Baker Hughes, and JLR. His research interests focus on Machine Learning, safety assurance of Machine Learning based systems, predictive diagnostics, and online learning from data streams. Abdullatif received a Ph.D. in Computer Science and System Engineering from the University of Genoa.

More about Amr here>>

Contact

Email
[email protected]
Phone
+441274 232262
A headshot of Dr Amr Rashad Ahmed Abdullatif.

Assistant Professor in Computer Science