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:: Consulting Interests and Training |
My interest in consulting has two reasons: first I want to apply the
newest ideas and techniques to real life problems to further
technology transfer, and second I want to learn about applications for
which new techniques can be developped. I am very interested in
industrial collaboration, if you would like to use the most recent academic
developments, please get in touch with me at martin.gander@unige.ch.
I have learned how to do consulting in SCCM Advice, the
consulting service provided by SCCM students and faculty at Stanford
to the bay area community. The training is a course with hands on
experience. I consulted for the following problems: Flow in Porous Media, Hologram as Storage and Non Euclidean Geometry.
After having been a consultant, I became a member of the organizing
team of SCCM Advice. We wrote an article about the philosophy,
organization and goals of SCCM-Advice for the IEEE Computational
Science and Engineering Journal:
SCCM
Advice: Stanford University's Consulting Group for Applied Math and Numerical
Analysis.
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:: Industrial Collaboration |
Meteorological Service of Canada: We are currently working to
improve the quantitative precipitation forecast for extreme weather
events in Canada. This project involves researchers from universities
and weather Canada and includes a large scale simulation on the globe
of weather events using domain decomposition and a more refined
regional model which will use the results of the large scale model as
input. The project leader is P. Yao.
Alcan and Pratt and Whitney: The PIGE-ISP project (Industrial
Large Scale Projects - Iteration, Subdomains and Parallelism) involves
Alcan and Pratt and Whitney Canada as essential partners in the
research effort. This project targets industrial problems with many
millions of unknowns and thus parallelism is essential. It also
includes the use of a large scale Beowulf cluster for the implantation
of the new algorithms. The project leaders are M. Fortin and W. Habashi.
VOLVO: We collaborated with VOLVO to develop a parallel solver
for the noise simulation in the interior of the passenger cabin of the
VOLVO S90. With the speed of the new algorithm it becomes possible to
target the inverse problem of how to make the cars cabin more quiet.
This project was initiated by F. Magoules.
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:: Past Consulting Projects |
For industry:
For other academic units:
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