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Intelligent Systems research is dedicated to innovating computer systems which provide intelligent or smart services to humans or other computer systems. The general aim of this research strength is to allow humans to access the complexities of the underlying information and technology in a seamless and natural manner. Our research strength currently comprises of three key research strength areas, as detailed below.
Intelligent Robotics and Smart Device Ecologies
Aim: To advance the area of intelligent robotics and smart device ecologies within the domain of intelligent environments. It is expected that robots will form an integral part of the intelligent environments of the future, along with humans. Together they will form the new ecosystem or smart-device-ecology, acting in synergy to provide intelligent seamless services. Intelligent robotics, in particular domestic robotics, has been the focus of applied research over recent years, while research into smart-device-ecologies is a new, emerging, paradigm for intelligent environments. More...
Objectives:
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Innovate ways robots and smart devices operate and cooperate with humans and other robots and devices within an intelligent environment and a smart device-ecology.
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Develop smart device ecology connectivity, especially between domestic robots and the wider ecology and how they learn, adapt and modify their behaviours together with the changing environment and needs of human occupants.
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Measuring the social and practical impact these future ecologies may have on the human psyche
Intelligent Distributed and Multimedia Systems
Aim: To improve processes concerning the intelligent aspects of the Internet and related distributed environment. More...
Objectives:
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Provide a network for world-wide organisations to share vast amount of computer resources (storage, processing power, memory, bandwidth, application etc.) over the internet.
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Provide more efficient extraction and representation of multimedia features for effective and productive indexing and information retrieval.
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Improve the research in foundation, methods, tools and environment for conceptualising, modeling, analysing, and developing large distributed and pervasive systems.
Data Mining and Knowledge Management
Aim: At the heart of every intelligent system is a set of rules that allow it to respond to events in a dynamic environment. The Data and Knowledge management area focuses on the formation, storage, and processing of these rules, and how information flows can be managed to make intelligent systems function more efficiently and effectively. More...
Objectives:
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Improve multi-criteria decision making, which requires multiple evaluation of strategy, standards and frameworks for developing domain ontologies and metadata; and the reuse of data across various applications.
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Modeling the human interface at the level of what people expect of intelligent systems in terms of signals and reactions to support the development of intelligent robotics.
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Create autonomous software agents, and knowledge discovery in databases based on adaptive algorithms to enhance intelligent decision support systems.
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