The focus is on graph theory, specifically domination, independence and irredundance in graphs.
Fluid flow modelling
This field concentrates on the analytical and numerical modelling of various aspects of single and multiphase transport of Newtonian and non-Newtonian fluids in different types of porous media. Applications include water seepage through rocks and soils, sediment transport and filtration processes. Various projects on the analysis of extreme events and time series analysis in the coastal zone are conducted.
Numerical methods and computation
Algorithms for scientific computing are developed and analysed. These algorithms include methods for solving differential equations and performing matrix computations. These algorithms are fundamental to just about every conceivable scientific application. Specific application areas of our interest include the computation of integral transforms and special functions, spectral methods, and the computation of wave phenomena.
Computer vision and machine learning
The study, development and implementation of machine learning techniques for various applications in computer vision, including automated recognition systems, reconstruction of 3D data from images, tracking of objects in video sequences, mapping and navigation in robotics, image processing and handwriting analysis.