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Safwan ALJBAAE

CV Lattes ResearcherID Google Scholar Citations


Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Faculdade de Engenharia (FEG)  (Institutional affiliation for the last research proposal)
Birthplace: Síria

PhD in Astronomy from the Paris Observatory (2013), graduated in Mathematics from the University of Damascus, Syria (2004). He has experience in the field of astronomy with a focus on asteroid families, dynamics and control in the vicinity of irregularly shaped asteroids. He has experience in different scientific languages in Ubuntu environment, such as: FORTRAN, C, MATLAB, LATEX, Machine Learning, Deep Learning and Python. During the period from February 2014 to 2021 he worked on 32 different publications in A1 and A2 qualis indexed journals, resulting in a productivity of 4.6 articles per year. His research developed over the last 7 years was divided into three main parts: The first part was focused on asteroid dynamics to understand the origin and evolution of asteroid families, measuring the age of various families, simulating the evolution of each family member under the effect of Yarkovsky and YORP forces. In the second part, the modeling of the external gravitational field of a small celestial body was presented, applying different techniques such as, for example, the Mascon gravitational structure using a polyhedral shaped source. The orbital dynamics of a spacecraft around various asteroid systems (Lutetia, Bennu, Sylvia, Antiope, Apophis) was studied. The third part of the scientific activity is a new line of investigation dedicated to Machine Learning applications to the dynamics related to small body, which can be easily extended to other fields. Applying Deep Learning to: identification of asteroid families, study of resonant dynamics in the Solar System, among others. Also using an approach based on time series analysis or predictions to present an indicator for detecting chaos. (Source: Lattes Curriculum)

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