Non-Linearity and Complexity Research Group

Organisational unit: Research Group

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Organisation profile

The Non-linearity and Complexity Research Group has high international visibility in the areas of pattern analysis, probabilistic methods, non-linear dynamics  and the application of methods from statistical physics to the analysis of complex systems. 

The underpinning methodology used includes principled approaches from probabilistic modelling, Bayesian statistics, statistical mechanics and non-linear stochastic and deterministic differential equations.

Particularly significant application domains include  Biomedical Information Engineering and Signal Processing,  Health Informatics, Environmental Modelling and Weather Forecasting, Error-correcting Codes and Multi-user Communication, Complex Systems and Networks, Solitons and Optical Fibers, and Chaos and turbulence.

We have recently launched an MSc by Research in the Mathematics of Complex Systems and are currently inviting applications for PhD studentships.

  1. A Deep Learning Approach to Automatic Caption Generation for News Images

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Local-global nested graph kernels using nested complexity traces

    Research output: Contribution to journalArticle

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  1. Growth Dynamics in the Strong Coupling Limit

    Prize: Fellowship awarded competitively

  2. Marie Curie Incoming International Fellowship (IIF)

    Prize: Fellowship awarded competitively

  3. The Lord Staffordshire Award for Innovation

    Prize: Prize (including medals and awards)

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  1. Frontiers (Journal)

    Activity: Publication peer-review and editorial workEditorial activity

  2. Scientific Reports (Journal)

    Activity: Publication peer-review and editorial workEditorial activity

  3. Applied Mathematical Modelling (Journal)

    Activity: Publication peer-review and editorial workPublication peer-review

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Employable Graduates; Exploitable Research

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