We are interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Our main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. We make use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. We are interested in applications to biology, social systems, and man-made networks, where we address both fundamental problems as well as applied research with some industrial collaborators.
Our research group is formed by faculty members, postdoctoral research fellows, PhD students, and some other faculty members from the Dynamical Systems & Statistical Physics group are also affiliated to this group. Additionally, our MSc programme in Network Science enriches our group with enthusiastic MSc students. If you would like to do a PhD with us please see this for QMUL's funding.
For more information about publications, current projects, and events, follow the links on the left.