Biography

Hi there! Welcome to my personal page 😃.

I recently concluded my master’s degree in Computational Sciences in Engineering at the Technical University of Braunschweig. My research interests lie in the intersection of predictive modelling for the natural sciences and machine learning. I am also particularly interested in approaches to endow machine learning algorithms with physics-inspired learning biases to make them more data-efficient. You can find my CV here.

Interests
  • Neural Solvers
  • Graph Neural Networks
  • Physics-inspired learning biases
Education

  • M.Sc. in Computational Sciences in Engineering, 2021

    Technische Universität Braunschweig

  • B.Sc. in Mechanical Engineering, 2017

    Universidade Federal do Espírito Santo

Projects

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All Scene Understanding Deep Domain Adaptation Others
TUBSRobustCheck - assessing the robustness of semantic segmentation neural networks
A PyTorch-based toolbox to evaluate the robustness of semantic segmentation deep neural networks against diverse corruptions and adversarial attacks.
Code
TUBSRobustCheck - assessing the robustness of semantic segmentation neural networks

Posts

Deep Domain Adaptation - Taxonomy and New Methods
An overview of my master’s thesis project
Edgard Minete
Jul 17, 2022 4 min read
A Multidisciplinary Journey
Some words about my academic and professional background
Edgard Minete
Last updated on Jul 15, 2022 4 min read

Contact