Semantic Computing and Systems Engineering

Semantic computing, a rapidly evolving interdisciplinary field, seeks to leverage computer mediated forms of interactions (human-human, human-machine, machine-machine) and intelligence (computational, collective, ambient), in both real and virtual world environments. It seeks to advance and apply semantics based computational methods and techniques in order to create a more meaningful interactive paradigm and user experience.

The Semantic Computing and Systems Engineering cluster includes researchers from different disciplines, such as software engineering, human-machine interaction and addresses both theoretical and practical aspects of semantic computing.

Areas of particular interest with real-world applications include:

• data integration and collaborative information systems
• web, search engines and text analytics
• software requirement analysis
• software as service
• video, speech and image contents analysis
• interactive television
• automated surveillance systems
• gesture and face detection and recognition
• affective computing
• man-machine interfaces
• e-learning

Areas of interest with virtual-world applications include:

• social virtual environments
• agents and avatars in metaverse
• games

Research Centres

• Centre for Information Systems and Software Engineering
• Computational Intelligence Group
• Computer Vision and Imaging
• Mobile and Wireless Computing
• Software Systems Engineering