16.01.2018 - 17.01.2018

2 minutes of reading


LogoIFPEN Scienc'Innov Workshop: Learning from scientific data in energy (DATASCIEN'2018); 16-17 January 2018.
A 2-day interdisciplinary conference for academics, software developers and industry practitioners.

Advances in algorithms and computing power as well as a tremendous increase in data availability and storage in the last decades have led to massive social changes.
However, the use of scientific and technical data to successfully solve industrial problems is a specific challenge that requires close collaboration between the different professionals involved in data analysis.

Participants Datascien2018

Thanks to all participants, speakers, authors. You made the event a succes!
The Organizing Committee

Co-Organized by





This conference co-hosted by IFPEN and Inria aims at bringing together multi-disciplinary researchers, software editors and industry practitioners from the energy sector working on problems with large and complex datasets.
The emphasis is on the practical application of state of the art algorithms to extract information from experimental and simulated data.

Special attention was given to contributions relevant to the following themes: 

  • Advance in learning algorithms

  • Frameworks and platforms for data gathering and analysis

  • Application of learning algorithms to solve industrial problems

Keynote speakers:

  • Patrick Gallinari - UPMC, LIP6

  • Olivier Grisel - Inria

  • Michel Lutz - Total

Organizing Committee
Frédéric Chazal (INRIA, France)
Thibault Faney (Scientific Correspondent, IFPEN, France)
Jean-François Lecomte (IFPEN, France)
Miguel Munoz Zuniga (IFPEN, France)

Scientific Committee
Grégoire Allaire (Ecole Polytechnique, France)
Frédéric Chazal (INRIA, France)
Thibault Faney (Scientific Correspondent, IFPEN, France)
Erwan Le Pennec (Ecole Polytechnique, France)
Miguel Munoz Zuniga (IFPEN and GdR MASCOT-NUM, France)
Gaël Varoquaux (INRIA, France)

OGST Editorial Committee
Benoît Noetinger (IFPEN, France)