Research

My interests fall into the following areas:

  • Open distributed systems (Multi-agent systems, Web services, p2p, on-line communities)
  • Coordination and Cooperation problems (reputation, trust, social norms)
  • Collaborative systems (semantic tagging, filtering, voting mechanisms)
  • Social Networks
  • Processes in networks (epidemics, diffusion, search)
  • Unsupervised data-mining, clustering.
  • Non-linear dynamics
  • Agent-based modeling
  • Stochastic processes
  • Game Theory
  • Collective intelligence
  • Mobile computing



    • The broader aim of my research lies in the intersection of Artificial Intelligence, Complex Systems and Social Science:

  • Artificial Intelligence because of my interest in decentralized open systems composed by fully autonomous social entities. Either the entities are people (societies), people using technology as a proxy (on-line communities, collaborative systems), information (the Web) or computational entities (agent, peers, web services).
  • Social science because a better understanding how social processes (e.g. group formation, coordination, cooperation, normative behaviour, reputation, trust, diffusion, epidemics, opinion formation, etc.) operate can help to design more robust and flexible artificial social systems.
  • Complex systems because the processes described above are non-linear problems that cannot be fully addressed by a reductionist approach without losing the essence of the system.


    • In my dissertation I explored the role that the structure of interactions have in multi-agent systems. Currently, I am more focused in complex systems applied to epidemiological processes. To further look into my research please go to publications or to the research projects section.

    University of Michigan