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Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
João Pedro do Valle Alvarenga is a PhD candidate in Information Technology in the area of #8203;#8203;Systems and Control at Politecnico di Milano. He holds a master's degree in Computational Physics from the University of São Paulo (2024) and a bachelor's degree in Physical Engineering from the Federal University of São Carlos (2022). During his master's degree, he did an exchange program at Ghent University (2023). His research covers time series, machine learning, artificial intelligence, dynamical systems, nonlinear dynamics, and chaos theory, with a focus on modeling and forecasting complex phenomena. He has experience in developing neural network architectures applied to the analysis of dynamical systems and in the extraction of quantitative metrics, such as Lyapunov exponents and fractal dimensions. (Source: Lattes Curriculum)
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Chaotic-regime recurrence maps can be both a source of entropy (a pseudo-random number generator) and a training ground for pattern recognition. Both concepts are closely correlated. Motivated by this intimate relationship, the research project deals both with the study of pseudo-random number generation by recurrence maps in a chaotic regime and with the recognition of patterns and the p…
The present proposal aims to develop cryptography based on the composition of chaotic maps, specifically the composition of the logistic map with the tent map. This approach allows the development of cryptography with great security potential, low execution time and little computational effort. Since the properties presented by the composition of the chaotic maps are relevant to the crypt…
The chaos theory has received increasing interest in the most diverse areas of knowledge. Recently a study introduced the approach called deep-zoom, through which it is possible to observe the change of the chaotic dynamics of the system making it more chaotic and its orbits with properties more appropriate for generators of pseudorandom numbers (PRNG). In this same line of research that …
The objective of this project is to train the candidate in the development of Generative Adversarial Networks (GANs) to generate time series with chaotic characteristics. The project will be developed in the research group of Prof. Dr. Bernard De Beats, installed at Ghent University. In this research group, the candidate will implement state-of-the-art methods of GANs for time series, exp…
| 3 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
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