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Computational Intelligence and Visual Computing (CIVC)

Computational and machine intelligence applications often involve photographs, videos and fragile data types with subtle details that are difficult to see and perceive. Sophisticated solutions need to be developed to extract precious information for the purpose of making an accurate decision.  

Computational and machine intelligence has witnessed an explosive growth recently. Applications often involve photographs, videos and other data types that are fragile and include subtle details that are difficult to see and perceive. As a developer, one needs to be able to quickly develop sophisticated solutions that allow for an accurate extraction of precious information for the purpose of making an accurate decision. 

CIVC develops and disseminates emerging work in computational and machine intelligence including:

  • Digital multimedia security and sensor forensics
  • Biomedical engineering, bio-inspired computing, biometric security and video analytics
  • Computational: vision, graphics, financial, neuroscience
  • Visualisation and virtual reality
  • Fuzzy systems
  • Natural language processing, deep learning, health science and bioinformatics

Application areas include authentication and identification, protection of digital assets and transactions, telesurveillance, image/video analysis, object/action recognition, robotic vision, affective systems, character animation, 3D modelling, data mining, cognitive computing, human motion analysis. 

The group is multidisciplinary, focusing on providing solutions to real problems related to the broad area of physical and soft digital security, graphical visualization, visual data processing, machine automation.

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.


Computer and Information Sciences Courses

Computer and Information Sciences at Northumbria University encompasses all of our work in computer science, games, animation and digital visual effects, computer forensics and security, network technology, website development, library management and information sciences.


Computer and Information Sciences Staff

Computer and Information Sciences students learn from the best – inspirational academic staff with a genuine passion for their subject. Our courses are at the forefront of current knowledge and practice and are shaped by world-leading and internationally excellent research.

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