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Intelligent Systems Discipline

Intelligent Systems

Head of Discipline: Associate Professor Declan O'Sullivan

The goal of the Intelligent Systems Discipline is to advance state-of-the-art use of intelligence in systems by tackling theoretic and engineering challenges through novel applications. The Discipline’s main focus is on computational issues related to perception; cognition; decision and interaction by, and between, systems and their human users. These are explored through a variety of novel applications in the health informatics, entertainment, e-learning and telecommunications management domains.

Its key research areas are: linguistic analysis; vision and graphics; logic-based representation of knowledge; semantic modelling; machine learning; knowledge engineering and visualization; and user interaction.

In order to perform focused, fundamental research in these areas, a set of general-purpose platforms have been developed to support theory validation and technology evaluation. These platforms include support for the development of multi-sensory environments, dynamic personalization, dynamically adaptive systems (autonomic composition and reconfiguration), and collaborative policy-based management.

The discipline hosts the Science Foundation Ireland CNGL Centre for Global Intelligent Content ( and drives TCD's strategic research theme on Intelligent Content and Communications (

Research Groups

The Intelligent Systems Discipline brings together the closely related research groups of Graphics, Vision and Visualization (GV2), Knowledge and Data Engineering (KDEG), Computational Linguistics (CL), the Centre for Health Informatics (CHI) , the Centre for Language and Communication Studies (CLCS) and the Centre for Computing and Language Studies.




Graduate Programmes

Structured PhD ProgrammeMSc IET


Last updated 16 December 2014 by