About

João Leonardi

Computer Vision Research Center, iCEV, Teresina, Brazil

ORCID 0009-0009-2715-3211

This notebook collects publications on projects, research, and technical notes. The topics center on computer vision, machine learning, and vegetation spectroscopy, with records of experiments and intermediate results.

Areas of study

  • Computer Vision — Segmentation, detection, image representation, and vision models.
  • Machine Learning — Model training, evaluation, and analysis.
  • Spectroscopy — Vegetation spectroscopy, reflectance, and sensor simulation.
  • Remote Sensing — Remote sensing, image processing, and data analysis.
  • Robotics — Robotics, automation, and control systems.

Experience

  1. Jul 2023Aug 2024

    Principal AI Researcher and Developer

    KLAB

  2. Aug 2024Jan 2025

    AI Researcher and Developer

    SIA — Secretaria de Inteligência Artificial do Estado do PiauíPiauí

  3. Feb 2025Jul 2026

    Principal AI Researcher and Developer

    ATI — Agência de Tecnologia e Inovação de TimonTimon, Maranhão

  4. Now

    Available for work

    Open to research and engineering roles in AI.

Academic research

Formation & affiliation

  1. 20132015

    Information Systems I

    INFORDELTA — Vocational coursesJosé de Freitas, Piauí

  2. 20162017

    Advanced Informatics

    INFORDELTA — Vocational coursesJosé de Freitas, Piauí

  3. 20192022

    Integrated secondary education with Technical Informatics (autonomous systems in robotics)

    CEEP Ferdinand FreitasJosé de Freitas, Piauí

  4. 2023Present

    B.S. Software Engineering (AI & remote sensing)

    iCEV — Instituto de Ensino SuperiorTeresina, Piauí

  5. 2024Present

    Researcher, Computer Vision

    Núcleo de Pesquisa em Visão Computacional, iCEVTeresina, Piauí

Research lines

  1. 20182022

    OpenROV — autonomous underwater vehicle

    Autonomous underwater research vehicle used in field studies at Barragem do BezerroJosé de Freitas, Piauí

  2. 2022

    Hexapod robot — embedded ML/DL/CV

    Autonomous platform demonstrating ML/DL and CV optimization on embedded hardware (Arduino Uno and TV Box via Armbian)CEEP Ferdinand FreitasJosé de Freitas, Piauí

  3. 20232024

    iMDA — vital-sign monitor OCR

    Embedded device that reads patient-monitor displays via OCR and centralizes data for ML/DL pipelinesiCEVTeresina, Piauí

  4. 20232024

    CNPq/KLAB — automated ENEM essay assessment

    NLP-based computational approaches for automatic evaluation of ENEM writing correctionsiCEV, KLAB, CNPqTeresina, Piauí

  5. 20242025

    Northeast Brazilian petroglyph classification

    Computational methods for classification, digitization, and cross-continental pattern comparisoniCEV, Project 6.28Teresina, Piauí

  6. 20252026

    APEX — carcass classification & grading

    ML/DL/CV methods for carcass tipificationUFPI (private)Teresina, Piauí

  7. 2024Present

    AgroIO — precision agriculture software

    Software and computational methods for precision agricultureiCEV, AgroIOTeresina, Piauí

  8. 2025Present

    TERRA — remote sensing & crop classification

    ML/DL/CV approaches for remote sensing, with emphasis on agricultural crop classificationiCEV, UTFPRBrazil

How to cite this notebook

Prefer citing individual notes via the Cite this button on each post (BibTeX, APA, or RIS). To cite the notebook as a whole:

@misc{scixiv,
  title = {Scixiv: Research notebook by João Leonardi},
  author = {João Leonardi},
  year = {2026},
  howpublished = {Research notebook},
  url = {https://rexionmars.space}
}

APA: João Leonardi (2026). Scixiv: Research notebook by João Leonardi. https://rexionmars.space

Contact