| John Mark Guckenheimer | |
|---|---|
| Born | Baton Rouge, Louisiana |
| Residence | U.S. |
| Nationality | American |
| Fields | Mathematician |
| Institutions | University of California, Santa Cruz Cornell University |
| Alma mater | Harvard University |
| Doctoral advisor | Stephen Smale |
| Known for | Dynamical systems Bifurcation theory |
John Guckenheimer (b. 1945, Baton Rouge, LA) joined the Department of Mathematics at Cornell University in 1985. He was previously at the University of California at Santa Cruz (1973-1985). He was a Guggenheim fellow in 1984, and was elected president of the Society for Industrial and Applied Mathematics in 1996. Guckenheimer received his B.A. from Harvard University in 1966 and his Ph.D. from the University of California at Berkeley in 1970.[1] His Ph.D. thesis advisor was Stephen Smale.[2]
His book Nonlinear Oscillations, Dynamical Systems and Bifurcation of Vector Fields (with Philip Holmes) is an extensively cited work on dynamical systems.
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Dr. John Guckenheimer's research has focused on three areas - neuroscience, algorithms for periodic orbits, and dynamics in systems with multiple time scales.[3]
Guckenheimer studies dynamical models of a small neural system, the stomatogastric ganglion of crustaceans - attempting to learn more about neuromodulation, the ways in which the rhythmic output of the STG is modified by chemical and electrical inputs.
Employing automatic differentiation, Guckenheimer has constructed a new family of algorithms that compute periodic orbits directly. His research in this area attempts to automatically compute bifurcations of periodic orbits as well as "generate rigorous computer proofs of the qualitative properties of numerically computed dynamical systems".
Guckenheimer's research in this area is aimed at "extending the qualitative theory of dynamical systems to apply to systems with multiple time scales". Examples of systems with multiple time scales include neural systems and switching controllers.
Guckenheimer's research has also included the development of computer methods used in studies of nonlinear systems. He has overseen the development of DsTool, an interactive software laboratory for the investigation of dynamical systems.[4]