CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Geociências (IG) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Member of the Geomorphology Laboratory at the University of Campinas (UNICAMP), currently pursuing a postdoctoral fellowship at the same institution, funded by FAPESP, with a research internship at Freie Universität Berlin (FU Berlin). Holds a Ph.D. in Physical Geography from the University of São Paulo (USP), funded by CAPES, and a Masters degree in Geography from São Paulo State University Júlio de Mesquita Filho (FCT/UNESP), with a research internship at the Universidad Autónoma de Madrid (Laboratories of Physical Geography and Applied Physical Geography), funded by FAPESP. Served as a teaching assistant and researcher at the Laboratory of Sedimentology and Soil Analysis (LABSOLOS/FCT/UNESP) and was affiliated with the Research Group on Land Surface, Water, and Atmosphere Interactions (GAIA/FCT-UNESP). Holds a Bachelors and Teaching Degree in Geography from the Federal University of Maranhão (UFMA) and was an invited researcher at the Watershed Studies Laboratory (LEBAC/UFMA) and the Research Group on Environmental Systems of Maranhão. Received a CAPES scholarship under the Institutional Program for Teaching Initiation Scholarships (PIBID/Geography). Has experience in geoscience research projects and Geography education. Research interests include tropical soil chemistry and physics, mineralogy, landscape analysis, remote sensing, Optically Stimulated Luminescence (OSL) dating, and subsurface structure investigation using Ground Penetrating Radar (GPR). (Source: Lattes Curriculum)
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This project aims to understand the coastal dynamics of Maranhão State/Brazil in the various time scales, diagnosing and predicting possible transformations/impacts in coastal areas that are located mainly on marine terraces, caused by human interventions, as well as natural climate pulsations, which can generate fluctuations in the Relative Level of the Seas (RLS), as well as changes in …
The proposition for this study is to elaborate the potential surface runoff chart over the Rio da Paciência (MA), Brazil, watershed. That 153 km³ watershed complies four counties of the São Luís in the Ilha do Maranhão: São Luís, São José de Ribamar, Paço do Lumiar e Raposa. The field work will accomplished in a partnership with the Laboratory of Watershed Studies (LEBAC) at the Federal U…
This project aims to apply deep learning techniques in remote sensing for the detailed mapping and analysis of the landscape units of the coastal plain of the state of Maranhão/Brazil, covering the eastern and western coasts. Deep learning convolutional neural networks (CNNs) will be employed to identify, classify, and monitor different landforms and land uses, such as dunes, paleodunes, …
The graphical representation of the natural and socio-spatial transformations demands, increasingly, the use of high-resolution remote systems and GIS platforms, which offer greater possibilities for analysis, with quality assurance and image information. Most of geosciences disciplines are instrumentalized with these tools for better data acquisition and projection of scientific research…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
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