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Computer Science students and building


Research Objectives

  • To engage in inter-/multi-disciplinary research to improve quality of life, health, national security, education and social cohesion;
  • To develop new computing science techniques and seek methods of application and commercialisation;
  • To provide leading advice and knowledge transfer to government and industry, and promote jobs and growth through technical innovation.

Focus, Impact, Strengths

Multi-agent systems; Strategic AI; Explainable AI; Multi-agent reinforcement learning; Intelligent cyber-physical systems; Deep learning for Imaging Data; Intelligent connected vehicles

Social-media analytics; Health and informatics; Social informatics; Smart cities; Adaptativity and personalisation; Educational technology; Computer Science education

High performance & scientific computing; Business & Internet computing; Fault tolerance & reliable systems; Intelligent & distributed systems; Communication networks and data science; Software tools

Computational neuroscience; Computational pathology; Systems and synthetic biology; Digital forensics; Multimedia processing and computer vision

Topics of Theoretical Computer Science; Design and analysis of algorithms; Complexity theory; Logic; Automation; Formal verification

Data management and engineering; Data analytics and data mining; Statistical and machine learning; Data Science applications