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Computer Vision and Natural Computing

Artificial Intelligence has significantly driven the growth of ICT research and application in modern society. Computer Vision and Natural Computing (CVNC) 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 CVNC 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 CVNC 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.

 

Group leadership and contacts

Contacts: Prof. Ahmed Bouridane and Dr. Hubert Shum

This research group forms part of the Department of Computer and Information Sciences.

Research relationships

This group is a part of the University’s multi-disciplinary research into the theme of Digital Living.

Research from this group will be submitted to REF2021 under UoA 11: Computer Science and Informatics.

To view research papers emanating from this group, please click here to view Northumbria Research Link, our open access repository of research output from Northumbria University.


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