King's College London
MSc in Information Processing and Neural Networks

About the Centre for Neural Networks

Within the School of Physical Sciences and Engineering of King's, the Centre for Neural Networks coordinates teaching and research in the subject of Neural Networks, including the running of the University of London M.Sc. in Information Processing and Neural Networks and a Ph.D. programme.

The Centre has developed into an internationally renowned focus of research in this new, exciting and rapidly expanding field, and constitutes the central node of `NeuroNet', the EU-funded Network of Excellence in Neural Networks.

The Centre acts as a forum for interaction and collaboration between members of staff from different departments. It consequently operates across a broad and interdisciplinary range. Research covers the theory and mathematical and numerical analysis of Biological and Artificial Neural Networks, with applications to speech, vision, system control, medical diagnosis, time series tasks, and hardware development of probabilistic RAM chips. The Centre runs a regular term-time seminar on Neural Networks and a newsletter, and is involved in the organisation of various national and international conferences.

The four key departments involved are Mathematics, Engineering, Physics and Computer Science, with additional M.Sc. lecture courses and/or seminars being provided by the Departments of Physiology and Philosophy and the Department of Mathematics of the London School of Economics.

Further information on the Centre's activities can be obtained through the CNN homepages.

Departments Involved in CNN Activities

The Mathematics Department has active research groups in both pure and applied mathematics. Research work is conducted on topics across the whole spectrum from analysis, geometry & topology and algebraic number theory to quantum field theory, statistical mechanics, relativity, supersymmetry, string theory, disordered systems and neural networks.
CNN members: Dr. A.C.C. Coolen
Dr. H.C. Rae
Dr. P.K. Sollich
Emeritus Prof. J.G. Taylor

Research in the Engineering Department, often involving collaboration with engineers in industry, government laboratories or other universities, centres on: communications and microwave, physical and optical electronics, signals, circuits & systems, mechatronics & manufacturing systems engineering and heat transfer & fluid flow.
CNN members: Prof. T.G. Clarkson
Dr. K. Althöfer
Prof. T.J. Hall
Dr. M.D. Plumbley

The research themes of the Physics Department, which can boast to have had no less than four Nobel Laureates as staff members, are condensed matter physics (solid state physics, photoelectron spectroscopy & microscopy and dielectric relaxation), theoretical physics, radiophysics, optical physics, image science and biophysics.
CNN member: Dr. J.F. Boyce

In the Computer Science Department the main research areas are the design and analysis of sequential and parallel algorithms, including computational geometry, combinatorial optimisation and string processing algorithms, and the area of data and knowledge engineering, focused on formal methods and languages.
CNN member: Dr. R. Overill

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