Aymeric NAYET

Aymeric NAYET

System Control Engineer @ AERIAL COBOTICUS SAS

About

I develop advanced mathematical methods and apply them to safety-critical industrial software with over seven years of experience. Passionate about designing and controlling complex systems, I am interested in computational modeling to optimize their performance and robustness under real-world conditions.

Country

France

City

St.-Maur-des-Fossés

Industry

Research

Skill

Réalisation de tests, Traitement de signal, Control optimal, Filtres numériques, Filtrage de Kalman, Systèmes de navigation, Conception systèmes de contrôle, Optimisation, Calcul scientifique, Calcul parallèle, Simulations, Analyse numérique, C++, Fortran, Python, MATLAB, LaTeX, C, Commande optimale, Maple

Experience

AERIAL COBOTICUS SAS

System Control Engineer

AERIAL COBOTICUS SAS

LinkedIn
2022-7 - Present · 4 yrs 3 mos

Rungis, Île-de-France, France

• Research and development work on controlling an experimental quadcopter for construction sites as part of a small team • Development of a complete embedded navigation system without the use of GPS • Development of an embedded control method designed to handle significant recoil forces generated by high-pressure projection • Development of operational procedures tailored to the client’s context • Implementation of flight tests and experiments

ArianeGroup

Phd student at Arianegroup / Laboratoire Jacques-Louis LIONS

ArianeGroup

LinkedIn
2019-1 - 2022-11 · 3 yrs 11 mos

Région de Paris, France

• Improvement of a control optimal software for Ariane rockets flights as a part of the Mission Analysis team • Implementation of optimal control methods for fast and precise optimization of upper stage trajectories • Creation and validation of a preliminary trajectory optimization software adapted to future Ariane missions

ArianeGroup

Internship - Engineer in mission analysis for Ariane 6

ArianeGroup

LinkedIn
2018-3 - 2018-9 · 7 mos

Région de Paris, France

Development of a constrained version of CMA-ES, a stochastic optimization method, adapted for the optimization of launchers trajectories

Inria

Intership - Numerical simulations of kinetic equations with parallel methods

Inria

LinkedIn
2017-6 - 2017-7 · 2 mos

Région de Lille, France

Research intership, centered on the study of kinetic equations for gases (B.G.K. model) to simulate them with parallel schemes (MPI and OpenCL)

Education

Pierre and Marie Curie University

Pierre and Marie Curie University

LinkedIn

Applied mathematics

2019-1 - 2022-6 · 3 yrs 6 mos
Pierre and Marie Curie University

Pierre and Marie Curie University

LinkedIn

Applied Mathematics for engineering

2017 - 2018 · 1 yr
University of Lille 1 Sciences and Technology

University of Lille 1 Sciences and Technology

LinkedIn

Applied mathematics, Statistics

2016 - 2017 · 1 yr
University of Lille 1 Sciences and Technology

University of Lille 1 Sciences and Technology

LinkedIn

Mathematics

2012 - 2016 · 4 yrs

Aymeric NAYET's Contact Information

Email

******@***.com

Phone

(**) *** ****

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