Helton Maia

Professor Helton Maia

PhD in Electrical and Computer Engineering

Federal University of Rio Grande do Norte (UFRN)

Undergraduate · School of Science and Technology (ECT)

Graduate · PPgTI/IMD, Computational Intelligence

Research and Teaching

Computational intelligence, neuroscience, and robotics

Research covers computer vision, machine learning, and biosignal processing, focused on turning video and time series into measurements that today depend on manual observation and annotation. This involves object detection, segmentation, pose estimation, tracking, and semantic scene analysis, with applications ranging from the movement of newborns in neonatal ICUs to the monitoring of industrial processes.

Teaching covers Programming, Deep Learning, and Computer Vision. The material for these courses is organised into open books published on this site, combining theory, applied content, and exercises: Python Programming, Computer Vision, Deep Learning, and Mathematics for Machine Learning with Python.

Contact: helton.maia@ufrn.br.

Professor teaching

Educational Resources

Comprehensive materials for students and researchers

Python Programming

Comprehensive guide covering fundamental concepts and practical applications for beginners and university students.

Read in Portuguese

ISBN (PT): 978-65-01-21697-3

Read in English

ISBN (EN): 978-65-01-22606-4

Computer Vision

Machine learning approaches to visual perception, including image processing, object detection, and tracking systems.

Read in Portuguese

ISBN (PT): 978-65-01-22607-1

Read in English

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

See all on GitHub