1 minutes of reading
As a member of this research group from the outset, IFPEN hosted, from 18 to 20 March 2019 in Rueil Malmaison, the 14th annual GDR Mascot-Num conference, dedicated to data assimilation, uncertainty quantification, statistical techniques for machine learning and numerical analysis.
This latest conference, led by Miguel Munoz Zuniga from the Digital Science and Technology Division, focused in particular on statistical approaches to model inversion, design of experiments, sensitivity analysis, as well as reliability and optimization.
With more than a hundred attendees from academia and industry, this conference provided an opportunity for researchers specializing in these various fields to present a review of their work and to exchange with their peers on the latest developments in this field.
The conference program and presentations can be found at www.mascotnum2019.com