Complex networked systems

Complex networked systems are networks of interacting agents (robots, systems, sensors, actuators, particles, humans, animals, biological organisms, investors) with diverse collective behaviors and versatile applications in large-scale engineering, biological, and social systems. The emergent behavior and performance of networked engineering systems fundamentally relies on the structure of the network. Current research topics involving design, analysis, simulation, and real-life implementation of networked systems include:

  1. Swarms: a) Coordination of networks of mobile agents/robots, unmanned autonomous vehicles (UAVs) with local interactions and b) Flocking algorithms and behavior.
  2. Sensor Networks: Distributed algorithms for cooperative information processing and sensor fusion in wireless ad-hoc sensor networks and mobile sensor networks (MANETs) embedded in an environment for monitoring, detection, and multi-target tracking purposes.
  3. Small-World Networks: Phase-transition phenomena in spectral properties of large-scale networks.
  4. Social Networks: Evolutionary dynamics of behavior and language in social networks and the origin of social norms and behavioral trends.
  5. Belief Networks: Distributed hypothesis testing and probabilistic reasoning.

Faculty contact: Robert J. Graves, Eugene Santos Jr.