The research in Smart Technology Research Group (STRG) continues the work of the centre which was formed in 2007 to capitalise on the existing expertise and synergy within the Computational Intelligence and Biomedical Engineering research groups at the university.
We have been able to draw on the broader expertise within the Faculty of Science & Technology in the areas of cognitive systems and robotics, psychology, computer science, electronics and computational mechanics. This has enabled us to establish an interdisciplinary and integrative group able to respond to the increasing number of challenges requiring multidisciplinary approaches and need for advanced innovative technological solutions in a variety of important application areas.
Our primary aim is the investigation and development of smart systems and technologies providing seamless integration of information from various sources for, among others, innovative technology-driven services, extraction and intelligent analysis of information from large commercial and scientific databases, reduction of operational costs of industrial processes, analysis of complex systems or improvement of quality of life.
Our long-term goal is addressing the need for truly autonomous systems with the ability to make decisions and operate in unknown environments taking advantage of increasingly available sensory technologies, availability of huge amounts of data in diverse disciplines, and proliferation of a variety of mobile devices with significant computational capacity.
The Smart Technology Research Group works with many different commercial and research organisations, and co-ordinates and contributes to special interest groups. Much of our work is funded by external organisations with examples of many successful applications. Further information can be found on our projects and publications pages.
The centre is organised around the grid of core technical competencies and application areas (as illustrated in the table below).
|Core technical competencies|
|Computational intelligence||Intelligent data and information processing||Sensory and electronic technologies|
|Application area||Bio-medical engineering (health)||X||x||X|
Within the above table, a bold font indicates a strong area (or cross-section) with a significant level of activity including funded projects, publications, event organisation, editorship of journals, international recognition and knowledge transfer. An upper-case X indicates a significant level of activity, and a lower-case x denotes some activity.