Computational Intelligence Group (CIG)
‘Computational Intelligence’ is the CEIS newly established applied research group to develop collaborative research focused activities. The group uses various tools and techniques of computational intelligence for modelling, visualisation and performance enhancement. Some of these tools, techniques and applications are as follows:
- Optimisation algorithms for optimal system design for drug administration, network congestion control, green communication, guidance, scheduling etc.
- Machine learning & Fuzzy rule base for pattern recognition, game technology, Internet security, intelligent learning and teaching, mobile computing, decision support system, affective computing etc.
- Data mining and classification for knowledge management, prediction, prevention decision support systems, etc.;
- Parallel computing and algorithm design for real-time solution, optimal and adaptive control, guidance etc.
- Modelling and visualisation for identification and learning applications
In the past, the team members were involved with various funded research projects and joint research with companies: EU eLINK (€5.5 million) project, EU ‘EAST-WEST’ project (€400K), EPSRC funded project (£79K), ‘Interlocking’ project with Balfour Beaty Rail (£30K), TSB BESIVPAC project (£20K), ‘eLearning’ project with Bobtec Ltd (£3.5K), ‘Underground oil modelling’ project with Aramco (£26.5K), etc.
The group is involved with various EU networks and submitting EU proposals on a regular basis. The group is engaged in knowledge exchange activities and collaborative projects in the ICT, engineering, wellbeing, digital media and allied areas.
For further details see the CIG poster (PDF)
