Our research focusses on providing knowledge, insight and innovative technological breakthroughs that transform healthcare, education, manufacturing, the built environment and business models, promoting social cohesion and human mobility while mitigating the impacts of climate change and ageing populations and protecting against cybercrime.
Aligned with the Government’s GCRF challenge areas and Industrial Strategy ‘Grand Challenges’, our strengths mean we can make a significant impact on the industrial and global societal challenges with our challenge-led, interdisciplinary research.
Our excellent disciplinary digital research supports our Health strategic challenge area by pioneering new technologies for assistive technology, telehealth, robotics and AI. It also provides knowledge, insight and innovative technological breakthroughs in Industry 4.0: the automation and data exchange in manufacturing technologies, including the Internet of things, cloud computing and cognitive computing.
Our work in digital futures, AI and Big Data
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Research expertise
Our multidisciplinary digital research is underpinned by a number of research groups including:
AI Social and Digital Innovation
Social, economic and strategic effects of AI and associated technologies. Impact of AI and related technologies on societies, organisations and individuals.
Computational Biology
Developing and applying novel methodologies for computational modelling, simulation and analysis of biological systems
Computer Science for Social Good
Our group works with partners in the Global South to lead and promote interdisciplinary research in the field of computer science and social good. We focus on investigating and developing new ways and innovative technologies to address challenging socio-economic problems.
Digital Economy
Focusing on international digital economy research capability in areas including cyber security, trust, identity and privacy challenges, and big data analytics.
Human Computer Interaction
Investigating ways in which humans and computers can interact through intuitive interface design, understanding of human factors and multimedia.
Intelligent Data Analysis
Concerned with effective analysis of data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.
Intelligent Digital Economy and Society
Research into intelligent digital economy and society using AI, data analytics, 6G, media, human-machine interaction, digital games, augmented and virtual reality, digital twins, IoTs, cyber security, data & information fusion.
Interactive Multimedia Systems
Building sensor and media-rich, cross-layer, inclusive e-systems, with an interest in human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.
Modelling and Simulation
Investigating how modelling and simulation can be supported by research into high-performance computing, e-infrastructures, cyberinfrastructures, cloud computing and web-based simulation.
Digital Futures, Artificial Intelligence (AI) and Big Data