Robert Dalang
+41 21 693 25 51
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+41 21 693 25 51
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Website: https://sma.epfl.ch/
Elected committee for the Pension fund PUBLICA
Awards
Fellow of the Institute of Mathematical Statistics
Robert Dalang was nominated for his pioneering contributions to the study of stochastic partial differential equations driven by a Gaussian noise which is white in time with a spatially homogeneous covariance.
2019
Infoscience
Teaching & PhD
Past EPFL PhD Students
Adriana Climescu-Haulica, Olivier Lévêque, Yannick Zufferey, Eulalia Nualart Dexeus, Violetta Bernyk, Daniel Conus, Frédéric Dumas, Laura Vinckenbosch, Jean-Benoît Rossel, Le Chen, Thomas Humeau, Carlo Ciccarella, Fei Pu, David Jean-Michel Candil
Courses
Analysis III (for SV, MT)
MATH-203(a)
The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in other courses and for solving multidisciplinary problems in science and engineering.
Analysis IV (for SV, MT)
MATH-207(a)
This course is an introduction to the theory of Fourier series, Fourier transforms (including for tempered distributions) and Laplace transforms, and to their use in the resolution of ordinary differential equations and partial differential equations.
Theory of stochastic calculus
MATH-431
Introduction to the mathematical theory of stochastic calculus: construction of the Ito stochastic integral, proof of the Ito formula, introduction to stochastic differential equations, Girsanov's theorem and the Feynman-Kac formula, the martingale representation theorem.