Benjamin Seibold
Research Areas:
Computational partial differential equations
Numerical analysis
Specific fields of Interest:
Meshfree methods and
particle methods
Level set approaches
Traffic flow (nonlinear detonation waves in macroscopic models)
Underresolved computation and averaged truncation
Radiative transfer
Computational fluid dynamics
Teaching Spring 2009:
8023. Numerical Differential Equations I
8200. Topics in Applied Mathematics:
Mathematical Modeling
(co-taught with
Yury Grabovsky
and
Daniel Szyld)
Office hours: W 1:30-3:30pm
Open Postdoc Positions:
Three-year Postdoctoral Assistant Professorship in scientific computing and numerical analysis
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