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Completed a Master’s degree in Industrial Electronics and Computers Engineering in March 2024 and a Bachelor’s degree in the same field in March 2022, both from the University of Minho – Campus de Azurém. Currently attending the Doctoral Program in Electronics and Computers Engineering at the University of Minho since October 2024. The PhD research focuses on the use of data collected from sensors, specifically EEG, to support the early diagnosis of Parkinson’s disease through the application of statistical, machine learning, and deep learning techniques. This work aims to contribute to the development of intelligent diagnostic tools that can assist healthcare professionals in clinical environments. Proficient in programming languages such as Python, C++, C, and MATLAB, and experienced with simulation and robotic tools including CoppeliaSim and Robot Operating System (ROS).
Identification

Personal identification

Full name
BÁRBARA CATARINA MONTES ARAÚJO
Date of birth
2000/06/11
Gender
Female

Citation names

  • ARAÚJO, BÁRBARA

Author identifiers

Ciência ID
C312-4F74-1AE6
ORCID iD
0009-0002-0174-5277

Email addresses

  • id11672@alunos.uminho.pt (Professional)

Websites

  • linkedin.com/in/araujo-barbara (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
French Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Spanish; Castilian Elementary (A2)
Italian Intermediate (B1) Intermediate (B1) Elementary (A2) Intermediate (B1)
Education
Degree Classification
2024/10/01 - 2028/10/01
Ongoing
Doctoral Program in Electronics and Computers Engineering (Doutoramento)
Universidade do Minho, Portugal
2024/03/26
Concluded
Introductory Online Course on Climate Change (Outros)
United Nations Institute for Training and Research, Switzerland
2024/03/26
Concluded
Specialized Module on Human Health and Climate Change (Outros)
United Nations Institute for Training and Research, Switzerland
2024/03/23
Concluded
Industrial Electronics and Computers Engineering (Mestrado)
Major in Control, Automation and Robotics and Power Eletronics and Energy
Universidade do Minho - Campus de Azurém, Portugal
"Machine Learning in Gait Analysis for the Diagnosis of Neurodegenerative Diseases: Challenges with Small Datasets" (THESIS/DISSERTATION)
17
2022/03/13
Concluded
Industrial Electronics and Computers Engineering (Licenciatura)
Universidade do Minho - Campus de Azurém, Portugal
16
Affiliation

Others

Category
Host institution
Employer
2023/08/07 - 2023/09/08 Summer internship dstSolar, Portugal
dstSolar, Portugal
Projects

Grant

Designation Funders
2024/10/01 - Current Advanced EEG Processing Tools for Parkinson’s Disease Diagnosis and Monitoring
2024.05185.BDANA
PhD Student Fellow
Universidade do Minho - Campus de Azurém, Portugal

Universidade do Minho Centro ALGORITMI, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Book chapter
  1. Jhonathan Barrios; Bárbara Araújo; Miguel Gago; Wolfram Erlhagen; Estela Bicho; Flora Ferreira. "Neurological Disease Classification Based on Gait Analysis Through Transformation-Based Multiple Linear Regression Normalization". 2025.
    10.1007/978-3-031-68949-9_28
Conference abstract
  1. J Barrios; ARAÚJO, BÁRBARA; Bicho, Estela; Erlhagen, Wolfram; Ferreira, Flora. "Enhancing gait analysis through transformation-based multiple linear regression normalization". Paper presented in XXVI Congresso da Sociedade Portuguesa de Estatística, Guimarães, 2023.
    Published
Conference paper
  1. J Barrios; ARAÚJO, BÁRBARA; Erlhagen, Wolfram; Bicho, Estela; Ferreira, Flora. "Neurological Disease Classification based on Gait Analysis through Transformation -Based Multiple Linear Regression Normalization". Paper presented in XXVI Congresso da Sociedade Portuguesa de Estatística, 2023.
    Published
Thesis / Dissertation
  1. "Machine Learning in Gait Analysis for the Diagnosis of Neurodegenerative Diseases: Challenges with Small Datasets". Master, Universidade do Minho, 2024.