We perform fundamental and applied research in the area of Data Science, Machine Learning and Artificial Intelligence (AI). This ranges from better understanding the neuroscience of the human brain, to advancing the state-of-the-art in Machine Learning and AI, and solving real-world problems across a number of application domains.

The majority of our work is cross-disciplinary, collaborating with domain experts within and outside the university. We believe in solving problems that matter and have a keen interest in collaborating with external organisations from both industry and academia.

We work confidently with a wide range of application domains, including health, finance and smart cities. Our technical expertise lies in doing clever things with data, such as machine learning, deep learning, data mining, forecasting, computational intelligence, search & optimisation, simulation modelling, complex networks and human-machine networks.

Our projects: 

We solve real-world problems and advance the state-of-the-art in data science and AI. A selection of our portfolio can be found below. 

Projects