We are interested in the intricate interplay between the structure and dynamics of interdependent networks of networks and how this interplay impacts the system level properties. In particular, using tools from statistical physics and graph theory, such as percolation transitions analysis, non-linear dynamics modeling of complex networks structures, as well as by modeling realistic networks, and integrating network approach with machine learning, we aim to uncover generalizing principles of real complex systems.