Complexity permeates virtually every aspect of our lives. The most unsettling property of these systems is the difficulty of predicting their behavior, even in cases when one knows in detail their structural composition and the interaction rules on the microscopic scale. It is well known that nonlinearity and non-locality of the interactions will usually generate complex behavior. However, it has recently been discovered that complexity has at least one other face: that is complexity generated by the topology of the interactions, studied under the name of Complex Networks Science.  Another interesting, and largely uncharted "type" of complexity is generated when coupling already complex components that have optimization tendency, studied under the emerging field of Agent-based Systems.
     My current research focuses both on complex networks and agent-based systems. Starting from a statistical physics base, my main goal is to develop a methodology for the understanding and modeling these type of systems.

Media:

• Technology Research News
• Feedback on the epidemic networks paper:
  -- Reuters, -- MSNBC, -- ABC News, -- Forbes,
  -- Albuquerque Tribune
• LANL Daily Newsbulletin
• New York Times, interviewed by Ian Austen: "With 6 Degrees of Separation, Computers Stay in Sync", February 27, NYT.
• Nature Science Update Article: "Still waters run species out" by Phillip Ball
• Newsfactor: "Cascading failures could crash the Global Internet" by Mike Martin