Computing and Informatics Research Centre (CIRC) promotes both fundamental and applied research. Our staff members and postgraduate researchers are highly engaged with both the academic and industrial communities. We study computing systems and their role and inter-relations in a larger organisational ecosystem and, hence, interdisciplinarity and multidisciplinarity are main themes of our research, motivating us to work closely with colleagues from different subject areas, e.g. psychology, business, law, health and social care and tourism. The steadily growing recognition our research has resulted in an increasing number of national and European funded research projects. Our centre is composed of the following research groups:
We are the university’s hub for cyber security research, drawing on the expertise and knowledge of not only the staff within our Department, but also other colleagues from across the university and experts from other institutions in the UK and Europe. Our research is pragmatic, and helps people design, manage, and use technology in such a way that security helps rather than hinders people’s everyday lives. As such, we have particular expertise in Security & Privacy by Design, Social Cybersecurity, Cyber Physical System Security, and Cyber Security Education. Read more ..
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. Read more ..
We collaborate with researchers and professionals from multiple disciplines including psychology, design and marketing to evolve this focus area. We have expertise in applying user experience techniques and HCI design processes to interactive systems and its demonstration through experimentations. To maximise impact and the practical nature of our research, we also collaborate with industry nationally and internationally. Read more ..
The Machine Intelligence Group (MIG) studies the fundamentals and applications of intelligent systems with a special focus on data-driven analytical and advanced reasoning techniques. Specifically, MIG aims to understand and develop theoretical foundations of machine intelligence in relation to the areas of scalable machine learning, computational intelligence, statistical modelling and knowledge engineering. To validate the results, the group is particularly interested in decision making systems and Internet of Things covering a certain number of areas such as smart environments, assistive technologies, and telecare/telehealth systems. Read more ..
In the Engineering of Social Requirements strand of ESOTICS, we study software as an integral part of a larger ecosystem that, besides technology, incorporates business and social aspects. We focus on the interelation and mutual dependency between software and its dynamic organisational and social context. We study various kinds of social requirements to be met in software systems such as transparency, motivation, addiction-awareness and social responsibility. In the Social Informatics Analytics strand, we study and develop computational models and algorithms inspired by intelligence found in social, physical, chemical, and biological systems, and to solve practical problems arising from various engineering fields related to security, health (bio, medical), industrial, energy and the environment. We also study models of extracting knowledge or insights from social data in various forms, either structured or unstructured. Here, we use various analytic methodologies and tools to examine raw data in a social context with the purpose of drawing conclusions about that information. Read more ..
Our aim is to contribute to and advance research and practice in computing teaching, and investigate how computer technology is used in education. We explore ways of improving computing education by investigating innovative software-facilitated learning, modern technology, and teaching practice and methods that enhance student engagement and student outcomes. We also investigate the learning and teaching of computing and informatics to develop solutions to the challenges it introduces. Read more ..
Future and Complex Networks Research Group (FlexNet)
The Future and Complex Networks Research Group (FlexNet) conducts fundamental and applied research in the broad area of networks – from natural and physical networks (e.g., social networks, transportation systems, utility grids, brain structure) to digital infrastructures (e.g., the Internet, computer networks, etc.), the research focus areas of FlexNet include Network Science, Information-centric Networking (ICN), the Internet of Things (IoT), 5G, Crowdsourced Systems and other emerging network paradigms.