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Biography

I am a Research Engineer and Joint Phd Student at INRIA. I am skilled in machine learning, deep learning and electrophysiological signal processing at the Federal University of ABC (Brazil) and Université Paris-Saclay. I am an open-source maintainer of the Braindecode and MOABB, Pytorch library for EEG Decoding (https://github.com/braindecode/).

I have experience in software development with solid knowledge in computer science, and I worked and collaborated with small and large teams to deliver software and data science products.

Programming Languages: Python, Bash Script, Kotlin, Java, and Haskell.

Frameworks / Technologies: Docker, Docker-Compose, SQL, Linux, Git, AWS, Azure, Google Cloud Platform (GCP).

Python packages: Numpy, Scipy, Pandas, Scikit-Learn, Pytorch, Tensorflow, Keras, Dash, Dask, request, Beautiful Soup. In the brain signal ecosystem: MNE, Moabb, Braindecode, EEGLab.

Self-adaptable and self-start IT professional that enjoys learning new concepts and tools to solve problems.

Activities

Employment (1)

University of Paris-Saclay: Gif-sur-Yvette, FR

2023-05 to present
Employment
Source: Self-asserted source
Bruno Aristimunha

Works (7)

Geometric Neural Network based on Phase Space for BCI-EEG decoding

2024 | Preprint
Contributors: Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo
Source: Self-asserted source
Bruno Aristimunha

Geometric neural network based on phase space for BCI-EEG decoding

Journal of Neural Engineering
2024-10-18 | Journal article
Contributors: Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Yokoingawa de Camargo; Sylvain Chevallier; Theodore Papadopoulo
Source: check_circle
Crossref

Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases

2024-06-17 | Preprint
Contributors: D Klepachevskyi; A Romano; B Aristimunha; M Angiolelli; F Trojsi; S Bonavita; G Sorrentino; V Andreone; R Minino; Troisi Lopez E et al.
Source: check_circle
Crossref

A systematic evaluation of Euclidean alignment with deep learning for EEG decoding

Journal of Neural Engineering
2024-06-01 | Journal article
Contributors: Bruna Junqueira; Bruno Aristimunha; Sylvain Chevallier; Raphael Y de Camargo
Source: check_circle
Crossref

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring

IEEE Access
2023 | Journal article
Contributors: Bruno Aristimunha; Alexandre Janoni Bayerlein; M. Jorge Cardoso; Walter Hugo Lopez Pinaya; Raphael Yokoingawa De Camargo
Source: check_circle
Crossref

Distribuição de Newcomb-Benford, Mudanças de Bases e Aplicações Eleitorais

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics
2023-12-18 | Conference paper
Part of ISSN: 2359-0793
Contributors: Eduardo Gueron; Jerônimo Pellegrini; Bruno Aristimunha
Source: Self-asserted source
Bruno Aristimunha via Crossref Metadata Search

A Comparison Study of Deep Convolutional Neural Networks for the Classification of Brazilian Savannah Pollen Grains: Preliminary Results

Anais do XV Workshop de Visão Computacional (WVC 2019)
2019-09-09 | Other
Contributors: Bruno Aristimunha; Felipe Silveira Brito Borges; Ariadne Barbosa Gonçalves; Hemerson Pistori
Source: Self-asserted source
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