Topological data analysis in stochastic geometry and image processing

The summer school on "Topological data analysis in stochastic geometry and image processing" is a five-day event with the aim of introducing young researchers to the highly active fields of TDA, Stochastic Geometry and Image Processing. The key elements of the summer school are lectures by four distinguished keynote speakers and the analysis of real-world datasets in group project work educating young researchers to work at the interface of TDA and Stochastic Geometry. 

The principal target group is PhD students and postdocs in topology, probability theory, and related subjects. Although dealing with similar problems, until recently there has been little interaction between TDA and image processing. The summer school will thus aim to initiate knowledge sharing and scientific networking between researchers working in these branches of mathematics and computer science. Stochastic geometry is the common framework for modelling randomness entering in both TDA and image processing. Hence, a part of the summer school will be devoted to aspects of stochastic geometry necessary to make application of TDA in image processing mathematically sound.