Professor Helton Maia
PhD in Electrical and Computer Engineering
Federal University of Rio Grande do Norte (UFRN)
Undergraduate · School of Science and Technology (ECT)
Research and Teaching
Computational intelligence, neuroscience, and robotics
I develop systems that perceive, learn, and act in complex environments, combining machine learning, computer vision, and biosignal processing. The domains change, but the problem does not: extracting from video and time series the quantitative measurement that supports the next decision.
I teach programming languages, deep learning, and computer vision, with the course material published in open access on this site.
Educational Resources
Comprehensive materials for students and researchers
Contact me at helton.maia@ufrn.br or LinkedIn.
Python Programming
Comprehensive guide covering fundamental concepts and practical applications for beginners and university students.
ISBN (PT): 978-65-01-21697-3
ISBN (EN): 978-65-01-22606-4
Computer Vision
Machine learning approaches to visual perception, including image processing, object detection, and tracking systems.
ISBN (PT): 978-65-01-22607-1
ISBN (EN): 978-65-02-12405-5
Deep Learning
Theory and practice of neural networks, covering architectures, training techniques, and modern deep learning approaches.
ISBN: 978-65-01-22605-7
Mathematics for ML (with Python)
Mathematical foundations for machine learning, with every formula verified in Python.
Open Source Projects
Selected repositories on GitHub
NeoLabel
Software for baby pose annotation
heltonmaia/neolabel
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vtkosmos
Vision Terminal Kosmos
heltonmaia/vtkosmos
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fishell
Terminal SSH para acesso rápido ao NPAD/UFRN
heltonmaia/fishell
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Robotic Arm
Hand-gesture controlled robotic arm (UFRN/LAR)
heltonmaia/proj_roboticArm
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esspresso
Interactive terminal UI for flashing ESP32 boards
heltonmaia/esspresso
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qttt
Tabular Q-learning agent that plays Tic-Tac-Toe by self-play
heltonmaia/qttt
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