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whoisraibolt/README.md

Hi there!

Research fellow at the Foundation for Research, Development, and Innovation Support of the Brazilian Army (FAPEB) and Ph.D. student in the Graduate Program in Defense Engineering (PGEDD) at the Military Institute of Engineering (IME). Holds a master’s degree from the Graduate Program in Systems and Computing (PGSC) at the Military Institute of Engineering (IME) (2021), as well as a bachelor’s degree in Information Systems from UNESA (2019) and in Information and Communication Technology from FAETERJ (2018). Has been working since 2015 in Machine Learning and Computer Vision, specializing in Neural Networks and Deep Convolutional Neural Networks.

With solid experience in Computer Vision, Pattern Recognition, and Mobile Robotics, develops academic and extension projects in areas such as Artificial Intelligence and Ethical Algorithms. Currently serves as the coordinator of the Distance Learning Associate Degree in Systems Analysis and Development and as a professor at the Centro Universitário Serra dos Órgãos (UNIFESO), teaching in the programs of Distance Learning Systems Analysis and Development and Computer Science.

Responsible for content curation, pedagogical review, question development, and audiovisual production as a content creator. Coordinates the extension project "Unveiling Algorithmic Racism: A Contemporary Analysis" (2024), linked to the Academic Directorate of Human and Technological Sciences (DACHT Social) at UNIFESO.

Coordinated the scientific initiation project "Thoracic Radiological Diagnosis Support System with Deep Convolutional Neural Networks" (2022/2023), developed under the Scientific Initiation and Research Plan (PICPq) at UNIFESO.

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💻 Check Out My Repos ⬇️

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  1. DescNet DescNet Public

    Descriptor Convolutional Neural Network

    Jupyter Notebook

  2. LBCNN LBCNN Public

    Local Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

    Jupyter Notebook 20 16

  3. Feature-Detection-and-Description Feature-Detection-and-Description Public

    Feature Detection and Description with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK using Python and OpenCV

    Jupyter Notebook 45 9

  4. Feature-Detection-and-Matching Feature-Detection-and-Matching Public

    Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV

    Python 204 31

  5. BoVF-with-MLP-Classifier BoVF-with-MLP-Classifier Public

    Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilia…

    2

  6. Convert-csv-Dataset-Into-Original-Images Convert-csv-Dataset-Into-Original-Images Public

    Convert .csv datasets into original images

    Python 3 2