The Digital Data Examination Network employs machine learning, facial identification, and AI in the detection, recovery and analysis of digital data from audio-video and CCTV footage, 2D and 3D images and online material for the identification of deepfakes, cybercrime, counter-terrorism and security risks.
The Scenes of Crime and Accidents Network is dedicated to the reconstruction and simulation of crime or accident scenes using technology, machine learning and bias mitigation for virtual training, 3D visualisation of investigations, medico-legal evidence and structural dynamics.
The Sustainable Resource Processing and Reuse theme is investigating advanced technologies and solutions to address current sustainability goals, climate change and reduction of carbon footprint for example anaerobic digestion, biodiesel production from waste streams, water and wastewater purification and resource capture.
Our research aims to improve cardiovascular health via exercise training and physical activity. Our two main areas of expertise are cardiac function and structure and vascular function and structure in health and disease.
We are always trying to make our research transferable to the intended population. Therefore, the Coaching and Pedagogy Research team are busy engaging in creating edited books, book chapters, blogs, podcasts, and online webinars.
Department of Applied Mathematics
Sport and Exercise Sciences
Biological and Environmental Sciences
School of Sport and Exercise Sciences
School of Sport and Exercise Sciences