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.
Peter Frazier
Shane G. Henderson
Nathan Kallus
Mark E. Lewis
Andreea C. Minca
Gennady Samorodnitsky
David B. Shmoys
Research Area Field Faculty
Faculty researchers from Cornell's several campuses contribute to this research area.
Research Groups
- Andreea Minca website
- Data Science Center for Enterprise and Society
- David Ruppert website
- David Shmoys website
- David Williamson website
- Gennady Samorodnitsky website
- J.G. "Jim" Dai website
- Mark E. Lewis website
- Nathan Kallus Research
- Nathan Kallus website
- Peter Frazier website
- Shane Henderson website
- Sidney Resnick website