The BSc Computer Science team

You will be taught by leading experts in the Department of Computing including:

Dr Tim Blackwell
Tim is an expert on swarm intelligence and programming. Swarm intelligence an area of artificial intelligence which considers the collective behaviour of decentralised, self-organised systems, natural or artificial.

Dr Sebastian Danicic
Sebastian's research encompasses a range of different areas including program slicing, dependence analysis and transformation, program schema theory, evolutionary mutation testing, and, more recently, intelligent web spidering, Java decompilation and software watermarking. He heads the program transformation and analysis group at Goldsmiths.

Dr Kate Devlin
Kate's research expertise lies in computer graphics, digital image display, visual perception and psychophysics, digital archiving, visual representation theory, virtual interpretations of past environments, computing for archaeology, user interfaces and interaction design.

Dr Marco Gillies
Marco's research is mainly on animated virtual characters and particularly expressive body language. This broad area covers many aspects, including animation, Artificial Intelligence and the simulation of behaviour, motion capture and the analysis of body movement. His most recent work has centred on data driven methods for creating responsive virtual characters.

Dr Rodger Kibble
Rodger is an Artificial Intelligence expert. His research encompasses formal semantics of natural language, natural language generation, agent theories and argumentation. Rodger is currently Secretary of the SSAISB, the UK's foremost society promoting the study, dissemination and public awareness of artificial intelligence, simulation of behavior and the design of intelligent systems.

Dr Lahcen Ouarbya
Lahcen's research is concerned with developing nonlinear models that describe the complex relationship between the solar magnetic field and the earth's magnetic field. Building computational models of this relationship can lead to the development of advanced warning systems for geomagnetic storms. This is of critical importance to technological systems that society heavily depends on. Currently he is focusing on computational intelligence based models of geomagnetic storms. One of the main computational intelligence based model in use in geomagnetic storm modeling is the recurrent neural network (RNN).

Dr Nikolay Nikolaev
Nikolay's research encompasses polynomial neural networks, sequential Bayesian inference, stochastic volatility, dynamic nonlinear GARCH modelling, computational finance, volatility arbitrage and option pricing, modelling interest rates and the yield curve, portfolio allocation and value-at-risk estimation, and statistical arbitrage and trading algorithms.

Dr Ida Pu
Ida's research centres on algorithmics covering various application areas including design and analysis of algorithms, data communications and networking, data compression, MR diffusion imaging, and music analysis. She leads Algorithms and Computer Networks research group and is a member of Artificial Intelligence group.

Daniel Stamate
Daniel is an expert in intelligent systems, knowledge bases and databases (with particular interests in: imperfect information representation and integration; rule based reasoning under uncertainty, incompleteness and inconsistency in the context of multi-valued logics; query optimisation for imperfect information; information retrieval), computational logic (multi-valued logics), knowledge discovery in databases, data mining and machine learning, computational statistics.

Dr Matthew Yee-King
Matthew has recently obtained a DPhil in Computer Science and Artificial Intelligence from Sussex University. His research involves the application of unsupervised genetic algorithms to the problem of sound re-synthesis.