Research Centre


The research centre is structured into three high-level themes.  These are: Modelling, Analysis and Visualisation. For further information relating to the research centre please contact the Director of the centre, Professor Mark Anderson.


The Modelling theme draws together researchers working on computational modelling of a wide range of topics. The theme seeks to promote the exchange of ideas and techniques between the different topics in order to explore synergies. It provides the linkage between the Research Centre’s analysis and visualisation themes and is open to anyone with an interest in computationally modelling applied and theoretical problems. The modelling theme currently focuses on, but is not limited to, the following areas:

  • Data Modelling
  • Multi-Agent Systems
  • Software Modelling
  • Network Modelling
  • Cognitive Processes
  • Human Interactions
  • Social Processes
  • Smart Cities


Dr Chitra Balakrishna (Theme Leader)
Professor Mark Anderson
Professor Ella Pereira
Dr Peter Matthew
Dr Mark Liptrott


The Data Analysis theme aims to promote and shape research relevant to data collection, transfer, storage and processing. It focusses on developing application-driven methods, algorithms and protocols that enable efficient data transfer and curation. Wide enough to cover diverse data types, sizes, complexities and application domains, the theme functions as a think tank to promote knowledge exchange and collaboration among researchers active in data science sub-fields, such as:

  • Big Data
  • Internet of Things and Disruptive Technologies
  • Social Media, Graphs and Sensing
  • Cloud Computing
  • Text Mining / Natural Language Processing
  • Future Internet
  • Mobile Healthcare and Smart Medical Devices
  • Mobile Technologies and Applications
  • Smart Cities
  • Data mining


Dr Yannis Korkontzelos (Theme Leader)
Professor Nik Bessis
Dr Marcello Trovati
Dr Quanbin Sun
Dr Georgios Kontonatsios
Dr Mark Hall


The Visualisation theme aims to promote research relevant to Visual Computing including Data Visualisation, Computer Vision, Computer Graphics, Virtual and Augmented Reality, Human Robot/Computer Interaction, Computer Games, General-purpose Computing on Graphics Processing Units (GPGPU), and Intelligent and Complex Systems Simulation. The theme currently focuses on the following areas:

  • Big-Data Visualisation
  • CCTV Surveillance – automatic monitoring of suspicious behaviour
  • Facial expression and emotion recognition – understanding of non-verbal physiological and social signals for Human-Robot collaborations and Human Computer Interaction.
  • Virtual and Augmented Reality – User-adaptive virtual environments including advanced interfaces.
  • Agent-Based Modelling on GPU – Real-time large-scale agent-based simulation of human behaviour and complex systems.
  • Real-time Human Activity Monitoring – Understanding of human capabilities, intentions and limitations in various context (smart environments – smart home, smart vehicle, smart healthcare, smart factory, etc.) from live video streams
  • Computer Games and Serious Games – use of games and gamification for entertainment and education


Dr Ardhendu Behera (Theme Leader)
Dr Hui Fang
Dr Peter Vangorp
Dr Huaizhong Zhang


Our facilities in Tech Hub include lab space for 10-15 undergraduate and graduate students. Our lab equipped with high-end graphics workstations for interactive displays, a CAVE for Immersive Virtual Reality, a 32-node open-stack based cloud, Tobi Pro 2 eye-tracker, two NAO robots, Cameras and Microsoft Kinects amongst others.

The CAVE is a state-of-the-art installation.  It uses 4k projectors to produce Ultra High Definition images onto four surfaces.  The re is a 5.1 sound system and multi-camera tracking system with wireless controllers also installed.  Using the CAVE, the researchers in the department undertake cutting edge work in their respective fields.

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