Gustavo Henrique Santos Rodrigues is an undergraduate student studying Molecular Sciences at the University of São Paulo. A graduate of the Molecular Sciences program, he is currently working on a master's project with a grant from FAPESP focused on developing deep reinforcement learning architectures for urban mobility. His interests lie in: Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Signal Processing and Data Science. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Technological advancements have enabled the advent of mobility-on-demand (MoD) systems, which are mostly used in ride-hailing platforms. There is increasing interest in applying this concept to public transportation, particularly in the context of sustainability concerns like reducing carbon footprints. One innovative approach is the implementation of on-demand transit (ODTs). For instanc…
Automated classification of sleep stages is a complex task, arising from the high-dimensionality and low signal-to-noise ratio of electroencephalogram (EEG) signals, in addition to the high variability among individuals. Although deep neural networks, including convolutional architectures and Transformers, have shown promising results for automated classification, training these models st…
In accordance with the world's tendency the search for more sustainable energy matrices in order to replace non-renewable energy sources, there is a global need for the development of eco-friendly technologies. These actions aim to sustain the current lifestyle, regarding energy and food consumption and reduce the environmental impact of human activities. Therefore, the development and im…
| 1 / 1 | Ongoing scholarships in Brazil |
| 2 / 2 | Completed scholarships in Brazil |
| 3 / 3 | All Scholarships |
| Associated processes | |
CV Lattes
ORCID