- Research Grants
Adjunct professor of Biomedical Engineering at Federal University of Uberlandia (UFU). Researcher at the Centre for Innovation and Health Technology Assessment (NIATS), in the areas of usability engineering and health technology assessment. Bachelor's degree in Computer Engineering at São Carlos School of Engineering - University of São Paulo (USP) and PhD in Dynamical Systems at São Carlos School of Engineering - University of São Paulo (USP) with research internship grant at University of Pittsburgh (USA). (Source: Lattes Curriculum)
As the use of Bayesian approaches grow in signal processing and electrophysiology researches, there is a need for study and development of optimization and machine learning techniques for the elaboration of probabilistic models known as dynamic Bayesian networks. Some application domains reveal limitations of these models, and this requires either adaptations in the original concepts su...
Modeling effective connectivity in the brain is always a task limited by the size of the model intended and data required for training. In recent years, however, advances have been achieved with MRI equipment able to obtain images with better signal to noise ratio, tissue contrast and spatial/spectral resolution, such as the 7 tesla MRI equipment at the University of Pittsburgh. Further...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
(References retrieved automatically from State of São Paulo Research Institutions)
SANTOS, Fernando Pasquini. Identicação de sistemas neurais com redes bayesianas dinâmicas e transferência de entropia. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (12/24272-7)