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Interdisciplinary Project

C.Beri - 28/06/2016

Chedy Raïssi joins the international NASA Frontier Development Lab programme.

Logo NASA Frontier Development Lab

Chedy Raïssi, of the Orpailleur team, has been participating in an international project as part of the 'Nasa Frontier Development Lab' since 27th June. This project will bring together scientists and engineers in the private sector from several backgrounds to work on the issues of 'planetary defence'.

Within the Orpailleur team, Chedy Raïssi works on data mining and representation as well as data confidentiality. For one and half years, he has also been interested in deep learning. During a conference and exchange on the automatic detection of stellar objects, he was encouraged by an astrophysicist colleague to apply to the NASA Frontier Development Lab programme.

Having been selected, Chedy Raïssi is about to spend six intensive weeks in California at the NASA Ames Research Center as well as the SETI Institute (Search for Extra-Terrestrial Intelligence Institute) in an international and multidisciplinary team made up of fifteen researchers IT, planetary sciences and engineers from within the industry. This team aims, during the project period, to propose, develop and optimize tools for the detection of near-Earth asteroids that could ultimately improve knowledge in the field, facilitating 3D modelling and perhaps in the long term provide the possibility of probing such celestial objects.

The Nasa Frontier Development Lab is an accelerator of applied research whose goal is to improve detection of asteroids which have orbits close to the Earth with a view to studying and analysing them in detail, even deflecting them. The ambition of the project is also to provide participants with a unique opportunity to cooperate in such a research project, as well as supporting the planetary defence community with this targeted activity. Within this temporary team, Chedy Raïssi will work mainly on algorithms based on deep neural networks in order to detect the passage of asteroids in Kepler telescope images. After this project, he hopes to return with more knowledge, able to work further on data from planetary sciences but also to collaborate more closely with planetary science researchers to apply the results obtained in Europe.

More information: NASA Frontier Development Lab & Twitter 

Keywords: Chedy Raïssi NASA Deep learning Planetary defence Algorithm Inria research centre - Nancy - Grand Est

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