Research done by students of the MSc ISR and MSc IS

A number of graduates from the course are now working on PhDs with the CCI. Look at the CCI link: CCI Researchers and find the following past students to see what they are working on:

  • Will Blewitt
  • Charalambous Chrysostomou
  • Stephen Matthews
  • Simon Miller
  • Bobby Morris
  • Antonis Pavlakis
  • Ben Passow
  • Martin Rhodes





Research done at the Centre for Computational Intelligence

Research carried out within the centre is conducted by three main teams of researchers:

  • The Bio-Health Informatics Group
  • The Fuzzy Logic Group
  • The Intelligent Mobile Robots and Creative Computing Group

Research has also been conducted across the disciplines working with a number of clinicians, the airline industry, defence technologists and other governmental organisations in the recent past.

For more information, please visit the CCI web site at www.cci.dmu.ac.uk.

The Fuzzy Logic Group

The Fuzzy Logic Group is a well established research group in the Centre for Computational Intelligence in the School of Computing.
The group is dedicated to making a significant contribution to the theoretical foundations and real world applications of uncertainty models, including fuzzy sets, rough sets and grey systems.

Research interests: wide interest in the theory and application of fuzzy logic and other uncertainty models:

  • Theoretical Foundations of Type-2 fuzzy Logic
  • Type-2 Fuzzy Logic Applications
  • Fuzzy preference models and applications
  • Decision making based on fuzzy models
  • Rough sets and their applications
  • Grey systems and grey sets
  • Uncertainty models and databases
  • Uncertainty models and Geographical Information Systems

The Bio-Health Informatics Group

The Bio-Health Informatics research group is a multi-disciplinary research team at the Centre of Computational Intelligence in the School of Computing, De Montfort University.
The group is dedicated to developing the state-of-the art, accurate and reliable computer-based tools for computational decision making in biology and healthcare.
The group supports MSc Bioinformatics programme and offers MPhil and PhD studies in various computational biology and health related subjects.

Research Projects:

  • Prediction of metal binding proteins based on secondary structure information using a fuzzy logic-based method.
  • Developing a non-alignment based approach for identifying predictive features in metal binding proteins.
  • A multi-fuzzy expert system for reliable gene expression profile analysis.
  • Drug/vaccine discovery using multi-expert Bioinformatics tools.
  • Intelligent web-robot as a Bioinformatics tool.
  • Gene network modelling.
  • Path search for migrations of ancient populations using analysis of mDNA.
  • Intelligent prognostic decision making in breast cancer.
  • Intelligent prognostic decision making in prostate cancer.
  • Intelligent diagnostic decision making in colorectal cancer.
  • A multi-expert system for reliable biomarker assessment.
  • Empirical Bayesian estimation of acute myocardial infarction mortality using Lorenz Curve and Gini Index.
  • Prevalence and causes of CARDIOMYOPATHIES in young patients below age of 50 years.

The Intelligent Mobile Robots and Creative Computing Group

Intelligent Mobile Robots and Creative Computing (IMRCC) Group came about as a result of expansions in the Centre for Computational Intelligence (CCI) and in our robotics portfolio. This portfolio expanded from a single undergraduate module in mobile robotic systems to a range of undergraduate and postgraduate modules and programs supported by increase in number of PhD students and substantial investment by the University in mobile robots.

IMRCC group has active and wide research portfolio. This portfolio includes but not exclusively:

  • Control: fuzzy controllers, neural networks, reinforcement learning, emotions based controllers, etc.
  • Planning and navigation: genetic algorithms and symbolic techniques.
  • Vision and facial recognition for human-computer interaction.
  • Cognitive Systems.
  • Music, AI and Creativity.
  • Multi-agent systems and distributed AI.
  • Natural language processing and understanding

Case study

Why did you apply for the MSc CIR/ISR?
I had an interest in Artificial Intelligence and was interested in doing research in this area. However I hadn't taken many AI modules during my first degree for one reason or another. So I took the course to prepare me for research work. For this purpose the MSc worked out very well as there are research modules as well as AI and robotics modules.

What did you do before? (i.e. what degree? training? jobs? Where did you live?)
I'm local and I did my first degree here at DMU in Computer Science. Before that I worked for a number of companies developing CBT and Multimedia. I went back into education in order to gain skills I felt a working environment couldn't provide, and hopefully to lead to more fulfilling employment.

What were the best things about the course for you, what did you get out of it?
For me one of the strongest aspects of the course is that the CCI group is made up of staff who have considerable expertise in each of the disciplines covered. As the MSc groups tend to be quite small (in comparison to a Bachelor's group) you quickly get to know all of the staff (and fellow students) and feel able to quiz relevant members of the group when difficulties are experienced. The size of the groups makes a big difference to the amount of contact you get with members of staff.

What do you plan to do next (or what are you doing if you've already finished).?
I'm staying at DMU to do a PhD on a research project the University have. The project is funded by the DTI and concerns extracting information from documents, and producing a forecasting model that predicts demand of specific products for UK manufacturers. One of the aims of the project is to reduce the amount of surplus stock required and therefore reduce the costs of storing it.

Would you recommend the course to future applicants?
Definitely, if like me your interest is in AI research then the course will prepare you very well. Even if research isn't your goal, the areas studied during the course have a wide variety of applications in the commercial sector.

What advice would you give them before they start?
Start thinking about your MSc project early! Also, check to see if you are elligible for a bursary.