Complex Systems, Network Science and Computation
Answering challenging problems in fields that lie at the core of the information age, and have implications for social, medical and economic advances.
Complex systems—whether integrated circuits, information relays, transportation routing, social systems, or biochemical reactions in a living cell—all behave in ways that cannot be fully explained by understanding their component parts. Complex systems require integrative approaches. Tools are needed to characterize and design these nonlinear systems that are more than the sum of the properties of their parts. The wide variety of complex systems known as networks require analytic methods of discovery by computer scientists, applied mathematicians, and engineering faculty from across the college.
Research Area Faculty
The faculty researchers in this area exemplify the collaborative nature of the work done at Cornell Engineering.
Keith Evan Green
- Architectural Robotics Lab
- Autonomous Systems Lab
- Campbell Research Group
- Keith Green Website
- Laboratory for Intelligent Systems and Control (LISC)
- Space Systems Design Studio Website
- The Cornell-University of Bologna Institute for Vehicle Intelligence
- Tim Sands Google Scholar
- Tim Sands NPS Vita Faculty Profile
- Verifiable Robotics Research Group