AI and graph-based systems.
Our laboratory applies network science to investigate the evolution and behavior of complex networked systems. We focus on developing advanced simulations that capture fundamental properties and dynamics of graphs as they grow and adapt over time.
A key focus of our research is understanding how networks evolve. By simulating large-scale network dynamics, we explore the mechanisms that drive structural changes and the emergence of macroscopic properties from local interactions.