The project aims to develop a novel on-line estimator of the key process variable in rolling mills by mixing multiple models with different sensitivities to inaccuracy in process data. The approach relies on the systematic treatment of uncertainty and merging of all available information.

This long-term applied project covers various research and development activities according to specification of the industrial partner.

This project is concerned with the detection of digital image forgery. The area has an unexplored character and there is alot to do. Authentication of digital images play an important role in forensic investigation, criminal investigation,insurance processing, surveillance systems, intelligence services and journalism.The project is supposed to be carried out in five stages .

Today, imaging techniques are essential part of common medical practice. Among these techniques, image registration and fusion plays important role. The task of image registration (or alignment) is to find geometrical transform between two images that eliminates the difference in patient position during image acquisition.

Investigation limit behaviour of zero range processes in random environment, invariant principles for stationary stochastic processes; formulating and structuring problem. Development of methods enabling advanced description of asymptotics of particle systems under investigation, derivation of results and applications; organizing workshop on limit theorems and particle systems in Prague.