Computational Intelligence Group

Group Members

Dr Dimitris Dracopoulos (Senior Lecturer)
Email: d.dracopoulos@westminster.ac.uk

Dr Pari Jahankhani (Senior lecturer)
Email: parij@westminster.ac.uk

Dr Vassilis Kodogiannis (Reader in Computational Intelligence)
Email: kodogiv@westminster.ac.uk

Research expertise

  • Soft Computing Algorithms and Methodologies
    1. Nonlinear Modelling using Neural Networks and Hybrid soft-computing methodologies (incl. evolutionary computing and wavelet schemes)
    2. Learning Algorithms for Neural Networks
    3. Data Mining & Knowledge Discovery
    4. Reinforcement Learning
    5. Neuro-Fuzzy Modelling with focus on guaranteeing the interpretability of fuzzy rules learned from data, handling symbolic (non-numerical) variables, using expert knowledge and knowledge induced from data
    6. Neurocontrol and Neurodynamic Programming
    7. Evolutionary Learning and Genetic Programming
  • Robotics
    1. Motion Planning
    2. Learning Modelling and Control of Underwater Unmanned Vehicles (UUV)
    3. Multi Sensor Data Fusion algorithms for Obstacle Avoidance/Navigation (UUVs)
    4. Intelligent Autonomous Robotic Vehicles
    5. Flight Control
    6. Control schemes for the coordination of multiple UUVs
  • Image & Signal Analysis
    1. Image processing and Analysis
    2. Visual motion analysis in time sequences of images
    3. Biomedical Image Processing / Diagnostic tools
    4. Visual Inspection and Quality Control
    5. Biosensors - Pattern recognition
    6. Medical applications of computational intelligence techniques
  • Decision support systems and exploratory data analysis in Finance and Quality Food Analysis
  • Parallel and Distributed Computing

Current and recent projects

  • FREESUB-Autonomous Submarine for inspection and intervention,
  • IVP- Intracorporeal Videoprobe
  • SACPEH - Solar Air Conditioning System Using Very Low-Cost Variable Plastic Ejector with Hybrid Potential for Different Markets

Current PhD students

  • Mahdi Amina
  • Miko Adam-Kando
  • Dimitris Efraimidis

Selected publications

D. C. Dracopoulos, "Evolutionary Learning Algorithms for Neural Adaptive Control", Springer Verlag, August 1997.

V.S. Kodogiannis, M. Boulougoura, J.N. Lygouras, I. Petrounias, "A Neuro-fuzzy Based System for Detecting Abnormal Patterns in Wireless- Capsule Endoscopic Images", Neurocomputing, Vol. 70, No 4-6, pp. 704- 717, Elsevier 2007 .

K. Revett, P. Jahankhani, V. Kodogiannis, "Data Mining an EEG Dataset With an Emphasis on Dimensionality Reduction", IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007), Honolulu, Hawaii, April 1-5, 2007, pp. 405-412, ISBN:1-4244-0698-6

D. C. Dracopoulos, "Autolanding of Commercial Aircrafts by Genetic Programming", in Proceedings of the 2007 International Conference of Computational Intelligence and Intelligent Systems, World Congress on Engineering 2007, IAENG, July 2-4, 2007, London, UK.

V.S. Kodogiannis, "Decision Support Systems in Wireless-Capsule Endoscopy: Revisited", International Journal of Intelligent Decision Technologies, Vol. 1, No. 1,2, pp. 17-32, IOS Press 2007

D. C. Dracopoulos, "Evolutionary Learning", in Wiley Encyclopedia of Computer Science and Engineering, ed. by Benjamin W. Wah, Franklin W. Woeltge, Wiley, 2007.

E.Z. Panagou, V. Kodogiannis, G.J-E. Nychas, "Modelling fungal growth using radial basis function neural networks: The case of the ascomycetous fungus Monascus ruber van Tieghem", Int. Journal of Food Microbiology, Elsevier, 2007, Vol. 117, pp. 276-286.

J. Lygouras, V. Kodogiannis, T. Pachidis and P. Liatsis, "Terrain- based navigation for underwater vehicles using ultrasonic scanning system", Advanced Robotics, Brill Publishers, 2008, ISSN: 0169-1864, Vol. 22, No. 11, pp. 1181-1205,

Kodogiannis, V.S., Anagnostakis, E.M., "Soft computing based techniques for short-term load forecasting", Fuzzy sets and systems, Vol. 128, No. 3, 2002, pp. 413-426, , Elsevier .

J. N. Lygouras, T. Pachidis, K. Tarchanidis, V. Kodogiannis, "Adaptive High-Performance Velocity Evaluation Based on a High Resolution Time-to-Digital Converter", IEEE Trans on Inst.Measurement, Vol. 57, No. 9, pp. 2035-2043, 2008, .

J.N. Lygouras, P.N. Botsaris, J. Vourvoulakis, V. Kodogiannis, "Fuzzy logic controller implementation for a solar air-conditioning system", Applied Energy, Elsevier, Vol. 84, pp. 1305-1318, 2007 .

V.S. Kodogiannis, J. Lygouras, A., Tarczynski, H.S. Chowdrey, "Artificial odour discrimination system using electronic nose and neural networks for the identification of urinary track infection", IEEE Trans. on Information Technology in Biomedicine, Vol. 12, No. 6, pp. 707-713, 2008,

P. Jahankhani, V. Kodogiannis, K. Revett, "EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks", IEEE 2006 JVA Int. symposium on Modern Computing, 3-6 October 2006, Sofia, Bulgaria, pp. 120-124, ISBN:978-0-7695-2643-0.

Pari Jahankhani, Vassilis Kodogiannis, Kenneth Revett, John Lygouras, "Classification using adaptive fuzzy inference neural networks", 12th IASTED International Conference on Artificial Intelligence and Soft Computing, September 1 - 3, 2008, Palma de Mallorca, Spain, (paper: 628-014). CD proceedings.

P. Jahankhani, K. Revett, V. Kodogiannis, "A Rule Based Approach to Classification of EEG Datasets: A Comparison Between ANFIS and Rough Sets", 9th Symposium on Neural Network Applications in Electrical Engineering, September 25-27, 2008, Belgrade, Serbia, pp.157-160, ISBN: 978-1-4244-2903-5

D. C. Dracopoulos, ``Neural Robot Path Planning: The Maze Problem'', Neural Computing & Applications, volume 7, number 2, 1998.

D. C. Dracopoulos, A. J. Jones ``Adaptive Neuro-Genetic Control of Chaos applied to the Attitude Control Problem'', Neural Computing & Applications, volume 6, number 2, 1997.

D. C. Dracopoulos, S. Kent, ``Speeding up Genetic Programming: A parallel implementation using BSP'', in Proceedings of the First International Conference on Genetic Programming (GP-96), 28--31 July 1996, Stanford, California, USA.