Ms. Siravenha received the masters degree and doctor''s degree in electrical engineering from the Federal University of Para, Brazil, in 2010 and 2017, respectively. From 2013 and 2017 worked as a Fadesp (Fundação de Amparo e Desenvolvimento da Pesquisa) Fellow at the Vale Institute of Technology. During her post-graduate studies acted in the processes of noise reduction, segmentation and classification of images from remote sensors. As Fadesp fellow performed activities concerning plant species recognition from plants leaves, from the database building to species identification by machine learning algorithms. Also, directly contributed to the development of the app that runs the developed algorithms. Since the last period as a Fadesp fellowship until now dedicates to projects of electroencephalography (EEG) signals processing and neuro-cognitive training, and objects inspection from computational vision tools. Her interests are related to machine learning algorithms and its applications, mental states monitoring using EEG and performance enhancing by neuro-cognitive training. She is currently in a post-doctoral internship at the Neurophysiology Laboratory Eduardo Oswaldo Cruz (Institute of Biological Sciences - Federal University of Para) under the supervision of Bruno Duarte Gomes in the 'ITV/UFPA/FADESP - Treinamento cognitivo' project with the work plan 'Utilização de modelos de aprendizado de máquina para a investigação dos efeitos do treinamento cognitivo em operadores de alto desempenho'
Formação acadêmica/profissional (Onde obteve os títulos, atuação profissional, etc.)
Doutorado em Engenharia Elétrica (Conceito CAPES 5). Universidade Federal do Pará, UFPA, Brasil.
Áreas de Interesse
(áreas de interesse de ensino e pesquisa)