Mathematical modelling of processes in wastewater treatment plants
At the Centre for Mathematical Sciences, a great part of the research in mathematics, mathematical statistics and numerical analysis is directed towards different applications. One such comprises separation processes in wastewater treatment plants, mineral and chemical industries. These processes are nonlinear, wherefore fundamental research in mathematics and numerical analysis is required for the development of reliable simulators and control strategies. The focus is laid on the following:
- Modelling the activated sludge process (see the figure below), which is found in most wastewater treatment plants. Particular focus is laid on the continuous sedimentation process.
- Developing reliable numerical methods that can be used in simulators.
- Developing methods for calibration of models to measured data.
- Developing controllers and control strategies.
- Solving optimization problems.
Professor at Department of Statistics
Probability Theory and Statistics, stochastic modelling, statistical inference, theory of probability distributions.
1. theory and applications of multivariate non-Gaussian stochastic models,
2. statistical analysis of spatial random fields evolving in time with non-trivial dynamics,
3. statistical distributions at random crossing events.
Professor of Mathematical Statistics, Head of division
Statistical and array signal processing, detection and estimation theory, and related application in remote sensing, telecommunication and biomedicine.
Phone: +46 46 222 4520
Mobile phone: +46 73 093 9696