Recipient of the Google Latin America Research Award.
CNPq Productivity Fellow since 2018.
Listed among the top 2% most influential scientists worldwide (Stanford–Elsevier C-score).
Highlighted publications: 'YourTTS' (ICML 2022), 'Sketchformer' (CVPR 2020), and 'Everything you wanted to know about Deep Learning for Computer Vision' (SIBGRAPI Tutorials 2017).
Co-authored the textbook 'Machine Learning: A Practical Approach on the Statistical Learning Theory', featuring theoretical foundations, practical examples, and R code.
Authored a 'Livre Docência' thesis synthesizing research contributions (2010–2017) in image/video preprocessing, feature space extraction, and pattern recognition.