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The College of Engineering and Informatics has an active programme of research in each of its constituent departments. Some of the College research is now managed as part of larger University-wide institutes, such as the National Centre for Biomedical Engineering Science and the Environmental Change Institute. Members of the College have been significant contributors to the successful development of these institutes and will remain core participants in the future. Priority research areas of the College of Engineering include:
For further information on research in the College of Engineering and Informatics click here
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Dr. Mircea Ionita
Thesis Title: Advances in the Design of Statistical Face Modelling Techniques for Face Recognition
Summary: This research covers several significant improvements to 2D face models which are widely applicable to a range of applications including face tracking and recognition. Improved models are presented for the case of variations in facial illumination and pose. A further improvement involves the use of colour information to enhance the registration of these models without requiring significant additional memory or computational effort over the equivalent grayscale model. The improvements in model accuracy and performance are proven in the context of the increased accuracy of facial recognition and are compared with the widely known Eigenfaces technique to provide a baseline metric. A handful of peer-reviewed conference papers, two published journal papers and two patent applications have resulted from this research.
Dr. Garrett Ryan
Thesis Title: Bioactive Titanium Scaffolds for Orthopaedic Applications
Summary: Garrett Ryan's thesis was on development of the next generation of biomaterials designed for orthopaedic applications. The design using a rapid prototyping technique allowed for incorporation of bioactive factors that would stimulate bone growth. Such a biomaterial design could be used as a scaffold for development of the next generation of dental and spinal implants.
Dr. Claire Costello
Thesis Title: Incorporating Performance into Process Models to Support Business Activity Monitoring
Summary: Building on current process and enterprise event modelling languages, this research developed a formal approach to capture business process event and performance information. Business activity monitoring capabilities were also extended by the development of performance summarisation and alerting.
