The accurate description of the complex thermomechanical behavior of solids requires the efficient treatment of strongly nonlinearly coupled partial differential equations systems. These stem from the combination of balance and constitutive equations, which in turn can be often rephrased in a variational setting from the specification of suitable equilibrium and dissipation potentials.

The project will develop a new measures of dependence between economic variables, which will allow to study the frequency dependent dznamics of correlations in different quantiles of joint distribution.

Systems of partial differential equations (PDE) and ordinary differential equations (ODE) are studied from the point of view of Dynamical systems methods. Many problems from biology, chemistry, mechanics, control, information transmission, economics and other fields are changing in time and so they can be described by different types of Dynamical systems.

Ground Vehicle Engineering, both as extremely interdisciplinary research discipline and technological domain, receives a profound impact from increased demand on safe, environment-acceptable and user-oriented intelligent technologies.

Perfusion analysis is an important experimental technique used for diagnostics and evaluation of therapy response. Analysis based on magnetic resonance (MR) helps in identifying the state and dynamic behaviour of oncological and cardiovascular diseases and enables bettertreatment.

The aim of this project is to model optimal dynamic behaviour of a risk-averse European carbon-emitting steel producer, to design and implement an algorithm solving the corresponding multi-stage optimisation problem and apply the model to a real-life steel company. A linear combination of mean profit and conditional value at risk will serve as a decision criterion; decision variables will includ

The proposed project deals with the issues of clustering and classification from the viewpoint of Bayesian methodology and using the recursive mixture estimation theory.