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Issue 35 of Science@ifpen
Fundamental Research
News 01 December 2018

Issue 35 of Science@ifpen - Recent PhD graduates

The aim of fundamental research at IFPEN, structured around cross-functional and multidisciplinary scientific questions, is to build the skills and knowledge base required for the development of new solutions in the fields of energy, transport and climate.

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Benoit NOETINGER

Dr B Noetinger, editor-in-chief STET https://www.stet-review.org/, expert in transport modeling in disordered media
Benoît Noetinger graduated from the École Polytechnique in Paris, and holds a thesis at UPMC (now Sorbonne University) in liquid state physics, the work of which was carried out at the PMMH laboratory
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Mickaele Le Ravalec

Director of the Economics and Technology Intelligence Division
Mickaele Le Ravalec studied earth sciences at EOST, Strasbourg, before obtaining a PhD in rock physics from the University of Rennes (1995) and an HDR from the University Louis Pasteur, Strasbourg
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Antonio SCIARRETTA

Dr. Antonio Sciarretta (HDR, ASN) is a researcher at IFPEN since 2006.
Antonio Sciarretta received a Doctorate degree in thermal machines with a dissertation on engine modeling and control in 1999, and since then he has always worked at the intersection of these fields
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Loïc SORBIER

Research Engineer
Loïc Sorbier is a research engineer in Physics graduated from ESPCI Paris. He obtained his PhD in materials science from université de Montpellier and possess accreditation to supervise research (HDR)
Issue 40 of Science@IFPEN
News in brief

Looping the chemistry for clean energy
Chemical Looping Combustion (CLC) is an airless combustion technology using oxygen carrier materials (OCM), which circulate between an oxidation and a reduction reaction zone. Separation into two
Issue 40 of Science@IFPEN
News in brief

Process efficiency: a matter of integration!
In order to optimize the use of very expensive installations, the development of industrial processes needs to take into account integration between units, both for developments relating to mature
Issue 40 of Science@IFPEN
News in brief

Mix between kinetic and machine learning models
Having access to increasingly precise and robust extrapolation models to be able to predict certain properties a remains a major challenge for chemical processes industry. For widely used models, be
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Maxime MOREAUD

Deploying of fundamental research in Artificial Intelligence in R&I applications
Project leader, Researcher in applied deep learning
Maxime Moreaud is responsible for deploying fundamental research in Artificial Intelligence in R&I business applications, he is project manager for IFPEN's Scientific Division, and a researcher in
Numéro 39 de Science@ifpen
News in brief

Lasers and algorithms to limit soot
THESIS OF FABIEN TAGLIANTE
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Quang Huy TRAN

Research engineer in Scientific Computing
Quang Huy Tran graduated from Mines ParisTech and completed his doctoral thesis in Applied Mathematics at IFPEN and Rice University (Texas) before returning to IFPEN as a research engineer