The Applied Computing Research Centre

The Applied Computing Research Centre (ACRC) brings several research groups together to form a multi-disciplinary team. The ACRC focuses on application of computing to real-world problems through research and industrial projects.

Research Groups

Distributed Systems and Modelling (DSM) Research Group

This applied research group focuses on the design and development of advanced structures for distributed computing infrastructure and applications. The main research interests of the group are in the following areas: Agent Technology; Grid Computing; Cryptography/Information Security; Concurrent Programming and E-Learning.
For further information visit the DSM site

Interactive Worlds Applied Research Group (iWARG)

This applied research group is dedicated to innovative applications for interactive worlds. The work of the group includes a number of specific topic areas such as Ubiquitous Computing Applications; Computer Graphics and Visualisation; Mixed Reality Interface, Human Computer Interaction; Creative Computing and Image Analysis.
For further information visit the iWarg site

Digital Security & Forensics Applied Research Group (SaFe)

The group aims to advance technical knowledge in the broad area of digital security and computer forensics, disseminate and exploit this knowledge. The group not only has a team of experts from various subjects including electronics, communications, computing, digital forensics and ethical hacking, but also has state-of-art laboratory facilities such as dedicated forensics workstations, commercial forensics tools like EnCase, Ultimate Forensic Toolkit, and open source forensic tools, etc.
For further information visit the SaFe site

Intelligent Information Modelling and Retrieval (IMR)

The rapid proliferation of data through various sources such as the internet, presents us with huge amounts of stored and collected information to process and make sense of. This raises several challenges for real world data dependent applications in the way information is optimally gathered, modelled, searched and retrieved, and how value and insight can be gained from the data.

This provides the opportunities to develop novel intelligent information modelling and retrieval techniques based on Computational Intelligence (CI) approaches. These can identify meaning, context, and patterns in data and combine with mechanisms to effectively retrieve and present relevant information to end users.
For further information visit the IMR Page

Computational Intelligence (CI)

CI approaches mimic human information processing and reasoning mechanisms as well as other biologically inspired processes such as evolution and collective intelligence found in many natural systems. They are used to develop biologically, socially and linguistically motivated computational paradigms for data modelling and representation. Our research aims to develop novel approaches and applications in the areas of web intelligence and semantic web, knowledge mining and machine learning to facilitate personalisation and interpretation of data for specific user needs and to minimise the cognitive burden of information overload. 
For more information visit the CI page 

Biomedical Computing and Engineering Technologies (BIOCORE) Applied Research Group

This applied research group undertakes research relating to the development and application of computational methods, biomedical engineering and healthcare systems for the analysis, interpretation, prediction, as well as for the design of environmental, biological, clinical and health-related processes. In that respect, it acts as a strategic frontier between the Life Sciences and the Computing / Engineering Sciences. For further information click here
For further information visit the BIOCORE site