教授个人简介:

Francois G Schmitt got his PhD from Pierre and Marie Curie University (Paris 6) in 1993 in turbulence, and his Habilitation thesis from the same university in 2001. He is working for the french national center for scientific research (CNRS) since 2002. He is director of CNRS laboratory of Oceanology and Geosciences since 2006. He is specialized in stochastic and scaling processes and methods for marine sciences and has mainly worked in turbulence and geoscience data analysis. He has published more than 140 papers, among which more than 100 in international journals. His H index is 23 with 1913 citations (Web of Science). He is regularly organizing sessions in Nonlinear processes in geosciences in the EGU and AGU general assemblies. He has directed 10 PhD thesis and published 2 edited books. He has visited China more than 15 times and have been invited professor in Shanghai University several times. One book with Yongxiang Huang is in press in Cambridge University press. 

Abstract:

The CNRS Laboratory of Oceanology and Geosciences (LOG) is situated in the North of France (Wimereux and Lille cities) and specialized in coastal oceanography and marine geosciences. There are 130 person in the LOG, with 59 researchers and 30 PhD students. The lab is producing more than 100 papers in international journals per year. The presentation will give general information on the LOG and the research topics of the 6 research teams, given by his director. 

Then his personal research topics will be shortly presented, giving an overview of his work in stochastic and scaling processes and methods for marine sciences. Some focus will be given in the four following topics:

- marine water level study: stochastic properties of the difference between measurements and modeled water level;

- zooplankton behaviour analysis: trajectory analyses and acceleration studies of copepods, using a high speed camera;

- Nonlinear dynamics of fluorescence time series during bloom events: PDF of the fluctuations and decomposition using EMD method;

- marine renewable energy: study of the turbulence properties in a flume, and stochastic properties of the power produced by a marine turbine.