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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.

 

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) and the Centre for Health Informatics (CHI).

AIGCLGGV2

KDEGCHI

 

Graduate Programmes

Structured PhD ProgrammeMSc IET

MSc IDMMSc HI


Last updated 5 November 2012 by .