Nicholas D. Kazarinoff Collegiate Professor

### About

Doering research is focused on the development and analysis of mathematical models with the aim of extracting reliable, rigorous, and useful predictions for interesting scientific problems. Such models range from deterministic and stochastic dynamical systems arising in biology, chemistry and physics, to systems of nonlinear partial differential equations such as those which (ostensibly) describe turbulent fluid flows. The techniques used vary from the derivation and development of exact solutions, to applications of modern approximation and asymptotic methods, careful numerical computations and simulations, and abstract functional and probabilistic analysis - often a combination of all four approaches.

Students interested in stochastic dynamics might consult recent papers including Features of Fast Living: On the Weak Selection for Longevity in Degenerate Birth-Death Processes by Yen Ting Lin, Hyejin Kim, and Charles R. Doering, Journal of Statistical Physics 148, 646-0662 (2012), while students interested in mathematical fluid dynamics are directed to his book co-authored with J. D. Gibbon, Applied Analysis of the Navier-Stokes Equations (Cambridge University Press Graduate Texts in Applied Mathematics, 1995; corrected reprint 2005) or The 3D Navier-Stokes Problem by C.R. Doering, Annual Review of Fluid Mechanics 41, 109-128 (2009).

Doering is a Fellow of the American Physical Society (since 2001) and Fellow of the Society of Industrial and Applied Mathematics (since 2011). Among other professional recognitions he received the Presidential Young Investigator Award (1989), a Fulbright Scholarship (1995), and a Humboldt Research Prize (2003).