“Our overall objective is to build a community, promote opportunities for collaboration and share our experience and knowledge.”
Overview
This theme considers the application of Artificial Intelligence (AI) to challenges presented by the areas of health and agriculture
Health
- Research being conducted applying AI to diverse topics from wider prevention and early diagnosis to the discovery of new drugs.
Agriculture
Research being conducted including the development of robotics to support the farming community, the application of the latest algorithms to fully explore geospatial data and development of exploratory techniques to fully assess the impact of climate change.
Our Facilities
Key Enabling Technologies:
Theme Leads
-
Dr Benjamin Mora
Available for Postgraduate Supervision Profile Ben Mora is an Associate Professor in the department of Computer science, Swansea University. Area of Expertise Projects Specialist Areas Events
-
Professor Rich Fry
Available for Postgraduate Supervision Profile Professor Rich Fry is Professor of Environment and Health based at Population Data Science in Swansea University Medical School. Rich is a Geographer by training with a BSc (Hons) in Physical Geography and an MSc and PhD in Geographic Information Science. After completing his doctoral studies, Rich secured a post-doctoral position at…
-
Professor Rhiannon Owen
Available for Postgraduate Supervision Profile Professor Rhiannon Owen is Professor of Statistics at Swansea University Medical School. Her main research interests include the development and application of Bayesian methods in Health Technology Assessment, Population Health, and Health Service Evaluation. In particular, her research interests include evidence synthesis methods, analysis of large scale linked electronic health…
-
Miss Claire Barnes
Available for Postgraduate Supervision Profile My interests lie in the analytics of Human Centred data. I am interested in the use of various methods to transform both structured and unstructured data into actionable knowledge, enabling the end-user to gain insight from vast data sets. The use of BioImaging analysis together with machine learning techniques on…
Specialist Areas
-
Sport Analytics
Overview With the advent of high-fidelity sensors and imaging systems, the applied sports sciences have observed a huge influx of available data originating from different sources, including wearable sensors that are now ubiquitous across many sporting disciplines. These sensors can quantify dynamic human movements over extended periods of time to enable reliable monitoring of athletic…
-
Graphics Visualisation and Modelling of 3D Datasets
Overview Scientific simulations and instruments like MRI or CT-scans produce nowadays a large amount of data that can be hard for scientists to interpret. The use of advanced Graphics and Visualisation algorithms possibly supported by AI can allow people to get a better understanding of the data. This group is particularly concerned with efficient processing…