Many of our teaching academics are also “research active” and participate in industry-renowned research and publication outside of the University’s specialist centres. This may be in the form of collaborations with partner institutions or fellow academics, independent works, or particpating in large research groups.
Our academics are known for their contributions to the various canons of their specialisms, and are often invited to be key notes speakers at conferences around the world.
To read more about the research activities of Buckingham’s staff, please visit our Staff Directory to view our academics and their work.
The University of Buckingham Press publishes authoritative, independent research and academic works by Buckingham staff and others in both journals and books.
How much uranium would be needed…? Far too much for the existing supply. This paper describes a model for predicting the growth of uranium reactors based purely upon the economic incentives for investors. Read more
Student response systems (SRS) have been shown to be an effective tool in addressing some of the challenges of teaching and learning in large classrooms. Read more
This paper is focused on the use of the EduMECCA SRS in small group teaching. A pilot study was conducted in the Applied Computing Department of the University of Buckingham where the EduMECCA SRS was used in a number of courses of the BSc in Computing programme. Read more
This paper contributes to the current research in face recognition by investigating the use of high-definition (HD) body-worn cameras to recognise faces from a distance and in outdoor conditions. The study looks at recognising faces captured at four different distance ranges in indoor and outdoor recording conditions. Read more
This paper aims to evaluate the security and accuracy of Multi-Factor Biometric Authentication (MFBA) schemes that are based on applying User-Based Transformations (UBTs) on biometric features. Read more
The book not only covers a wide range of data mining techniques for classification, clustering and association rule discovery, but also addresses practical issues in applying the techniques. The book also provides a large number of practical examples of data mining using the popular free software tool Weka. Read more
The accuracy of automatic face recognition systems is greatly affected by varying lighting conditions between enrolment and recognition stages. This problem is addressed by applying illumination normalisation techniques on face images and/or by using illumination invariant face feature representations for classification. The paper presents a context-aware adaptive face recognition scheme, where the selection of normalisation technique as well as the face feature representation is based on the illumination quality of a given face image. Read more
This paper was given at the SPIE Defense, Security and Sensing conference, April 2009, Orlando, Florida, USA, and has now been published. It presents a dynamic approach to illumination normalisation, based on face image quality. Read more