- BSc (Hons) Web Systems Development
- MSc Internet Computing
- PG Certificate in Research Studies
Autonomic Systems, Pervasive Systems, Augmented Reality, Virtual Reality, Biometric Security, Virtual Reality Visualisation
Dr. Peter Matthew
Department of Computer Science
Edge Hill University
Phone: 01695 657218
Email: Peter Matthew
- Foundations of Computer Science
- Programming languages: inspiring creativity
- Web Design
- Games Engines
- Digital Design and Production
Peter is a lecturer in the Department of Computer Science. He completed his PhD at Edge Hill University in 2016, with the title ‘Novel approaches to integrating biometric security with an emphasis on liveness and coercion detection’. He is mainly responsible for the Games Development route focusing on areas such as games programming and digital design and production. He also teaches on a range of modules across the Department of Computer Science. He has gained an MSc from Edge Hill University and has completed a PGCE at the University of Central Lancashire.
Peter is a member of the ‘Distributed and Creative Technologies Group’ and his current research interests include the development of visualisation tools using games engines and specifically the visualisation of biometric security constraints such as noise influence and template degradation. In the past his focus has been on the autonomic characteristics of biometric security and their applicability in pervasive smart environments.
Matthew, P. W. &. A. M. R., 2014. Novel approaches to developing multimodal biometric systems with autonomic liveness detection characteristics. In: J. Kacprzyk, ed. Studies in computational Intelligence. s.l.: Springer.
Matthew, P. W., 2011. Biometric implementation in autonomous systems with an emphasis on smart home applicability. London, I Society.
Matthew, P. W., 2013. Autonomous synergy with biometric security and liveness detection. London, Science and Information Conference .
Matthew, P. W. & Anderson, M. R., 2013. Autonomous Synergy with Biometric Security and Liveness Detection. In: J. Kacprzyk, ed. Studies in Computational Intelligence. s.l.:Springer.
Matthew, P. W. & Anderson, M. R., 2014. Novel categorisation techniques for liveness detection. Oxford, 8th International Conference on Next Generation Mobile Apps, Services and Technologies.
Mustafa, B., Farrukh, N. & Matthew, P., 2013. Leveraging Smart Monitoring and Communications Technology for Assisted Living Support. In: J. Kacprzyk, ed. Studies in Computational Intelligence.. London: Springer.
Mustafa, B. F. N. &. M. P., 2013. Leveraging Smart Monitoring and Communications Technology for Assisted Living Support. London, Science and Information Conference. London, Science and Information Conference .