Centre of Excellence in
Computational Complex Systems Research

Computational Complex System Research

The research is conducted cohesively in four mutually supportive fields of Models and Methods, Engineered and Artificial Systems, Cognitive and Social Systems, and Computational Health.

Models and Methods
Models and Methods research line facilitates the research activities of the other groups of the CoE. The focus is both on "fundamental" as well as "applied" research. The former comprises theoretical and numerical work on mathematical models of complex systems. Complex networks are rapidly becoming a standard framework to analyse and understand complex interactions. Applied reserach focus on computational tools and methods required for analysing and understanding experimental data, such as state-of-the-art statistical modelling methods (e.g. Bayesian modelling), with applications in several fields, in particular brain signal analysis and bioimaging.

Engineered and Artificial Systems
Modern technology research is building novel artificial systems. In nanotechnology this emphasises the need to understand the fundamental behaviour of materials (solid, soft or biological) and devices, which show intrinsic complex phenomena such as pattern formation, self-organisation and self-assembly. These nanoscale systems are well-suited for computational modelling studies, which form the basis for applying them in nanoscale bioinformatics, biomedical analysis and in imaging systems. In the area of information technology, we develop computational models of cognitive functions, such as learning and perception, which are central issues in many research topics throughout the CoE. We apply the results in computer vision and object recognition, and in robotics to study task-driven modelling of cognitive functions from computational neuroscience perspective.

Cognitive and Social Systems
In Cognitive Systems we will mathematically combine data obtained using complementary non-invasive neuroimaging methods, to disclose dynamic neuronal interactions within and between brain areas. Based on the data and its analysis, we aim to develop an integrated computational model to predict how those interactions give rise to emotion-motivated (goal-directed) audio-visual selective attention. In Social Systems the structure and dynamics of social networks will be analyzed and modelled based on complex networks and agent based approaches

Computational Health
Computational health is a new and rapidly developing field of research with focus to understand structure and processes of biological systems at molecular, cellular, tissue and organ level, through computational modeling. With the break-through in deciphering the human genome using the most up-to-date computational approaches and modern experimental biotechnology, it has become possible to understand the structure and functions of bio-molecules, information stored in DNA (bioinformatics), its expression to proteins, protein structures (proteomics), metabolic pathways and networks, intra- and inter-cell signaling, and the physico-chemical mechanisms involved in them (biophysics).

Computational Complex Systems and Networks Research Unit at Wolfson College Oxford

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