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MASB stands for Machine-learning Applied to Small Bodies.  Machine learning is the study of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.

Applications of machine learning include computer vision, time series forecasting, search engines, natural language processing, among others.  Recently, machine learning has started to be applied to Astronomy.  The main goal of MASB is to explore the use of machine-learning for the study of the dynamics of small bodies.  Members of the group are:

Prof. Valerio Carruba, UNESP, Guaratinguetá, SP, Brazil:  Associate professor at UNESP.  His main research interests are asteroids dynamics, machine learning and deep learning applied to Astronomy.

Curriculum Lattes: http://lattes.cnpq.br/4750709016042276

Dr. Safwan Aljbaae: Postdoctoral fellow at INPE, São José dos Campos, SP, Brazil. His research interests include asteroid families dynamics, dynamics and control in the vicinity of irregular-shaped asteroids, Machine Learning and Deep Learning with a focus on applications in Astronomy.

Curriculum Lattes: http://lattes.cnpq.br/4029076266456816

Prof. Rita Cassia Domingos, UNESP, São João da Boa Vista, SP, Brazil.  Her research interests focus on the dynamics of exoplanets, asteroid dynamics and machine learning applications to Astronomy.

Curriculum Lattes: http://lattes.cnpq.br/6652169083464327

Prof. Mariela Huaman Espinoza, UTP, Lima, Lima, Peru. Her research interests are dynamical astronomy with an emphasis on asteroids and secular resonances.

Curriculum Lattes: http://lattes.cnpq.br/2261573689415746

Ms. Gabriel Caritá. PhD student at INPE, São José dos Campos, SP, Brazil. His interests are in orbital dynamics, retrograde orbits, resonances, chaos, nonlinear dynamics and machine learning applications in nonlinear/orbital dynamics.

Lattes: http://lattes.cnpq.br/7679494796031059

Abreuçon Atanasio Alves: Physics graduate student at UNESP, Guaratinguetá, São Paulo, Brazil. His interests are in asteroids families dynamics and machine learning applied to astronomy.

Curriculum Lattes: http://lattes.cnpq.br/1995137415782903  


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