Erwan Lecarpentier has received the ISAE-SUPAERO Foundation thesis prize for his work!

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Erwan Lecarpentier has received the ISAE-SUPAERO Foundation thesis prize for his work!
4:00 min
Research

8 February 2021

Erwan Lecarpentier has received the ISAE-SUPAERO Foundation thesis prize for his work!

Erwan Lecarpentier, a doctoral student at the Department of Complex System Engineering (DISC), has received the ISAE-SUPAERO Foundation thesis prize for his work on Reinforcement Learning in a Non-stationary Environment. A 2016 ISAE-SUPAERO graduate with ENSICA engineering training, Erwan prepared his doctoral thesis at ISAE-SUPAERO and ONERA under the supervision of Emmanuel Rachelson, Professor of Automatic Learning and Optimization at ISAE-SUPAERO, and Guillaume Infantes, researcher at JoliBrain (an artificial intelligence software and service company).
After defending his thesis in 2020, Erwan continued his work with Emmanuel Rachelson and is now looking for a postdoctoral position to pursue his career in academics. Reinforcement learning is a sub-branch of automatic learning that deals with solving the problem of sequential decision-making in discrete time. It is a question of automatically learning the optimum behavior for an agent interacting with an uncertain environment.
How do you teach machines to control complex problems? Erwan sums up his thesis for you in 3 minutes flat! This thesis prize was presented by the ISAE-SUPAERO Foundation for the excellence of the research carried out and the outlook for the thesis’ applications.

SapienSapienS 4:00 min

Erwan Lecarpentier, a doctoral student at the Department of Complex System Engineering (DISC), has received the ISAE-SUPAERO Foundation thesis prize for his work on Reinforcement Learning in a Non-stationary Environment. A 2016 ISAE-SUPAERO graduate with ENSICA engineering training, Erwan prepared his doctoral thesis at ISAE-SUPAERO and ONERA under the supervision of Emmanuel Rachelson, Professor of Automatic Learning and Optimization at ISAE-SUPAERO, and Guillaume Infantes, researcher at JoliBrain (an artificial intelligence software and service company).

After defending his thesis in 2020, Erwan continued his work with Emmanuel Rachelson and is now looking for a postdoctoral position to pursue his career in academics. Reinforcement learning is a sub-branch of automatic learning that deals with solving the problem of sequential decision-making in discrete time. It is a question of automatically learning the optimum behavior for an agent interacting with an uncertain environment.

How do you teach machines to control complex problems? Erwan sums up his thesis for you in 3 minutes flat! This thesis prize was presented by the ISAE-SUPAERO Foundation for the excellence of the research carried out and the outlook for the thesis’ applications.

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AeroMAPS: an ISAE-SUPAERO reference tool for exploring the possible futures of aviation!
Research 1:27 min

AeroMAPS: an ISAE-SUPAERO reference tool for exploring the possible futures of aviation!

1:27 min
Research

16 May 2024

AeroMAPS: an ISAE-SUPAERO reference tool for exploring the possible futures of aviation! ISAE-SUPAERO / SapienSapienS

The AeroMAPS tool, developed by two ISAE-SUPAERO researchers, Scott Delbecq and Thomas Planès, can be used to assess the environmental impact of air transport and the effectiveness or limitations of levers for decarbonizing the sector.
Initially designed for research and training purposes, it now serves as a multidisciplinary platform for experts and decision-makers from institutions, industry, and associations. Its development has been integrated into the work of the Institute for Sustainable Aviation (ISA), a collaborative research institute initiated by Laurent joly, head of research for sustainable aviation, which aims to address the transition to #lowcarbon #aviation in all its complexity.
By playing on the sector’s transition levers, AeroMAPS users can define the scenarios whose impacts they wish to analyze. For example, the introduction of new aircraft types, the use of new fuels or the rate of growth in air traffic.
AeroMAPS is the first air transport scenario simulation platform built on an open-source scientific methodology. It was initially designed and developed to enable researchers to explore air transport transition scenarios in detail. It was soon integrated into training programs: first as part of the ISAE-SUPAERO engineering curriculum, then as part of continuing education programs.
To see the bigger picture, the two researchers added a socio-economic dimension to their tool (via a thesis conducted by Antoine Salgas, a doctoral student on the project, in partnership with Toulouse Business School), and subsequently, a traffic and emissions inventory, enabling the analyses made with AeroMAPS to be partitioned and regionalized: the AeroSCOPE tool, created as part of a collaboration with the Dutch university TU Delft.
Today, AeroMAPS’ comprehensive, multidisciplinary approach is a decision-making aid for the entire aeronautics ecosystem, as well as for institutional, industrial and association decision-makers. Through its scientific expertise, ISAE-SUPAERO contributes to the public debate on the place of aviation in our society!
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