Data Science & Artificial Intelligence

The Group has core research strength in mathematical foundation of AI and Data Science and its applications. This ranges from better understanding of AI, to advancing the state-of-the-art in deep learning and statistical data science, and tackling real-world problems in science, industry and society. The Group’s work tends to be cross-disciplinary, collaborating with domain experts within and outside the university.

Artificial Intelligence has significantly driven the growth of ICT research and application in modern society. The Data Science & AI group focuses on both theoretical and applied artificial intelligence research in a wide range of real-world applications. 

The group has increasingly strengthened the core research on mathematical foundation of machine learning and artificial intelligence computing algorithms and its applications to computer vision, computer graphics, visual activity and motion recognition, and natural language processing and understanding. In addition, there is contemporary strong research on evolutionary computation and fuzzy systems and their applications in facial emotion recognition and video processing. 

The Data Science & AI (DSAI) group continues to provide fundamental research on multiagent systems, audio computation and complex networks. The group is actively involved in tackling United Nations sustainable developments including digital health screening technology and precision agriculture. There is synergy on natural computing and computing vision research applied to solving various UK and worldwide industrial challenges including wearable sensing devices, anomaly detection and predictive maintenance, and autonomous vehicles. The Data Science & AI group played a key role in developing impactful knowledge transfer partnerships with regional companies through integrating computer vision and natural computing into company’s existing technologies. Our research is regularly supported by EPSRC, Royal Society, Innovate UK and other industrial collaborations.