Research
The Division of Applied Mathematics focuses on research in numerical analysis and scientific computing, computer vision and machine learning, fluid dynamics and modelling, and applied discrete mathematics.
Our mission is to formulate and solve problems in all walks of life by making use of mathematical skills in an innovative way.
Research outputs
Computer vision, pattern recognition and machine learning
Automated recognition systems, reconstruction of 3D data from images, tracking of objects in video sequences, vision in robotics, image processing and handwriting analysis.
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Prof Willie Brink
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Prof Hugo Touchette
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Dr Shane Josias
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Dr Johannes Coetzer
Fluid dynamics and modelling
Transport phenomena in porous media: permeability, diffusion, dispersion, non-Newtonian flow, heat transfer, electrical conduction and percolation. Computational fluid dynamics.
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Prof Sonia Fidder
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Dr Prince Nchupang
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Prof Francois Smit
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Dr Andie de Villiers
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Dr Hardus Diedericks
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Dr Marèt Cloete
Numerical analysis and scientific computing
Numerical solution of differential equations, matrix computations, numerical integration, computation of special functions and integral transforms, mathematical software.
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Prof André (JAC) Weideman
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Prof Nick Hale
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Dr Pietro Landi
Applied discrete mathematics
Graph theory and coding theory.
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