Modeling, optimization, and control of complex and networked systems

We research on novel paradigms to model, optimize and control complex and networked systems. In particular, our attention is focused on networks consisting of heterogeneous agents, and with time-varying links. Main applications are epidemic models, diffusion of innovation, biological systems, financial and bank transactions, synchronization and consensus, coordination of robotic agents


ERC Sector:

  • PE7_3 Simulation engineering and modelling
  • PE7_8 Networks (communication networks, networks of sensors, robots...)
  • LS7_9 Public health and epidemiology


  • Complex Networks
  • Complex Systems
  • Digital Epidemiology
  • Robot coordination

Research groups