Numerical and Applied Mathematics Research Unit

Numerical and Applied Mathematics Research Unit

The Numerical and Applied Mathematics Research Unit (NAMU) provides solutions to business, engineering and science problems, engages in research and development work, delivers fine products tailoring to specific requirements, participates in seeking and exploiting state-of-the-art technology.

NAMU Group Leader: Prof. Choi-Hong Lai Tel: +44 20 8331 8712

NAMU Deputy Group Leader: Dr Erwin George Tel: +44 20 8331 8515

Software products:

Greenwich Image Processing System (A link will be put up asap when it is ready)

An overview of research areas:

  • Inverse problems: Design cycle and system optimisation, incoproation of intelliegence; Parameter and function estimation, uncertainty quantification, optimisation techniques, stochastic optimisation, Bayesian methods, sensitivity analysis, probabilistic partial differential equations.
  • Computational biology: (i) Absorption and metabolism models, nutrients and drug absorption; (ii) Mathematical modelling of cardiac myocytes.
  • Computational music and sociology: Classification of music, mapping of musical pieces to socio-political and economic events, impact of music on humanities and economics; neural network, SVM, KNN, fuzzy mathematics.
  • Computational criminology: Classification of threat data related to food poisoning, impact of threat on food distribution, prediction of threats.
  • Computational finance: Option pricing with nonlinear volatility models, calibration methods, GPU and parallel algorithms, Monte Carlo simulation, numerical solutions for stochastic differential equations.
  • Optimisation and risk management of oil production and agricultural produces in developing economies.
  • Computational intelligence: neural network, SVM, KNN, deep learning, fuzzy mathematics and their applications to the above research topics.
  • Image processing: Efficient lossless image compression; image restoration; enhancing CCTV / medical scan images; image denoise; image segmentation; image dehaze.
  • Computational acoustics: Aeroacoustics, Indoor acoustics and noise management, Indoor and outdoor heat management and air flow management, high order methods.
  • Numerical algorithms: Coupling and/or enhancing capabilities of black-box numerical software packages; Defect correction methods; Computational asymptotic; Parallel algorithms - MPI and GPU; Symmetry and parallelism.
  • History of mathematics