The main topics of the conference series include but not limited to:
·Stochastic analysis and its applications;
·Stochastic differential and partial differential equations;
·Markov processes including jump type processes and measure-valued processes;
·Dirichlet forms;
·Analysis on fractals and percolation clusters;
·Random walk in random media and on random graphs.

These areas are strongly related to each other and have been very active in recent years. They occupy a central place in modern probability theory and analysis. The primary goal of the conference is to bring researchers in areas listed above, from all over the world, to survey the fields, exchange ideas and to foster future collaborations. Another important goal is to expose young researchers and Ph.D students to the most recent developments in active areas of probability theory.