Science, society and modern business practices generate data at an extraordinary rate. This creates an urgent and growing need to manage, process and interpret complex, large-scale datasets in order to transform data into informed decisions.
We investigate the computational and networking challenges associated with modern information and communication paradigms such as future internet, mobile, cloud and high performance computing.
Our academic expertise covers data analytics, machine learning, statistical science, optimisation, uncertainty quantification, dynamic modelling and simulation, complex systems and network analysis. In addition, further research focuses on the role of data in science and society, particularly in biological and biomedical science.
To discuss how we can work with you, please contact us.