PhD student at the Université Grenoble Alpes, within the Inria AIRSEA team of the Laboratoire Jean Kuntzmann, I am doing my thesis in collaboration with IFPEN, in the field of statistics and more specifically on the theme of meta-modeling by Gaussian processes in the context of stochastic inversion, with application to the design of floating wind turbines.
Summary:
Nowadays, many model inversion problems (e.g. calculation codes) are present in the industry. These problems are defined by finding a set of parameters such that a certain amount of interest respects a given constraint, for example remains below a threshold. In the field of floating wind turbines, a pre-calibration step consists of estimating model parameters such that a given quantity accurately corresponds to the measured data (e.g. accelerations).
Publications :
- Clément Duhamel, Céline Helbert, Miguel Munoz Zuniga, Clémentine Prieur, Delphine Sinoquet (2023) A SUR version of the Bichon criterion for excursion set estimation, Statistics and Computing, 33(2), 41. Springer
- Clément Duhamel, Clémentine Prieur, Céline Helbert, Miguel Munoz Zuniga, Delphine Sinoquet (2022) A SUR version of the Bichon criterion for excursion set estimation, poster Mascot Num. hal
Teaching:
- 2022-2023: Fourier Analysis and Probabilities 1st year Polytech
- 2022-2023: Principles and Methods Statistics 1st year Ensimag
- 2021-2022: Course & Tutorial Elementary Analysis L1 Maths-CS
- 2021-2022: Principles and Methods Statistics 1st year Ensimag
- 2020-2021: Course & Tutorial Elementary Analysis L1 Maths-CS
- 2020-2021: Tutorial Linear Algebra L1 Physics-Chemistry-Engineering
Scientific mediation:
- Workshop “Scientific Partners for the Class” “Partenaires scientifiques pour la classe”, Collège Doctoral
Other information:
Bâtiment IMAG – Bureau 195
150 Place du Torrent 38401 Saint Martin d’Hères France
Personnal web page:
INP
Inria
LJK
UGA