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Nicholas
Kevlahan Professor
of Mathematics
Department
of
Mathematics and Statistics |
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Nicholas
Kevlahan Professor
of Mathematics
Department
of
Mathematics and Statistics |
 Adaptive wavelet simulation of 2004 Indian Ocean tsunami |
My research is focused on theoretical and computational fluid dynamics and numerical analysis, with a special interest in numerical methods for the dynamically adaptive solution of partial differential equations based on the wavelet transform. My work in this area has been on turbulence theory, coherent structures, shock-turbulence interaction (with applications to star formation), fluid-structure interaction and especially geophysical fluid dynamics. I am the main developer of the WAVETRISK-OCEAN AND WAVETRISK-ATMOSPHERE dynamically adaptive three-dimensional global models.
WAVETRISK is available at: https://github.com/kevlahan/wavetrisk_hydrostatic .
I am also interested in problems related to atmosphere and ocean modelling, such as variational data assimilation (4D-Var), subgrid scale modelling of turbulence and topography upscaling (bathymetry, coastlines, orography) for ocean and atmosphere models.
In addition to fluid dynamics related problems, I have developed data analysis techniques based on compressed
sensing and wavelet analysis for analyzing time series data.
My publications are available here.
CMLA, Ecole Normale
Superieure de Cachan, France
LMD, Ecole Normale Superieure,
Paris, France
DAMTP, University of
Cambridge, United Kingdom
Physics, University of British
Columbia, Canada
email: [email protected]
office: Hamilton Hall - HH324
