CV Lattes
ResearcherID
ORCID
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduate at Ciência da Computação from Universidade de Wuhan (1988), master's at Electric Engineering from Instituto Tecnológico de Aeronáutica (1996) and ph.d. at Electric Engineering from Instituto Tecnológico de Aeronáutica (1998). Has experience in Computer Science, acting on the following subjects: chaotic synchronization, scene segmentation, chaos, complex networks and redes complexas. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
This proposal describes an Engineering Research Center for Artificial Intelligence (AI) committed to conduct research in basic AI topics and to apply AI techniques to selected application areas --- namely, oil and gas industry, agribusiness, and health. The Center will also fund studies on the social and economic impact of AI, and will carry activities aimed at technology transfer and kno…
The focus of this proposal is the transfer of mathematical knowledge to other areas of science, technology and industry, through a structured research center specially tailored for this purpose. All mathematical knowledge is ultimately applicable, if not directly, through other areas of knowledge. In some areas the application of mathematics is almost immediate. However, the practical imp…
These theoretical studies will be intimately connected with the investigation of experimental and natural dynamical networks of increasing complexity starting from a few coupled lasers, via hybrid networks of neurons to the system Earth. The latter one is a special challenge for the network theory and it will be a focus of this project. A main topic will be the understanding of the functi…
During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from Neuroscience, via Engineering to Sociology and Economy. So far, most studies have concentrated on fixed topology, i.e. were strongly restricted in their applicability. Therefore, we study in this project principl…
This research proposal is to study the collective behavior of coupled neurons in complex networks during the visit of Prof. Dr. Zonghua Liu to Prof. Dr. Zhao Liang at the Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP) in Brazil. Based on a new research that the brain appears to be a vastly interconnected network much like the Internet, we investigate h…
(Only some records are available in English at this moment)
Epilepsyis a neurological condition characterized by the repeated occurrence of seizures, which can severely affect patients' quality-of-life. For this purpose, the accurate classification of Electroencephalography (EEG) signals, which is a non-invasive exam, is of great interest in AI research in health. In this project, we intend to advance the classification of EEG signals for Epilepsy…
Networks have been used extensively for modeling functional, structural, and dynamic connectivity of the human brain. This representation can modeling (and integrate) heterogeneous data from various sources, as different types of neuroimaging and information about diseases and genes from text collections. This research field helps the understand and enriches our understanding of global an…
The human (animal) brain is a complex network divided into interconnected structural and functional regions. Functional connectivity has been used to model anatomically separated regions of the brain by describing the temporal dependence of neuronal activity patterns. In this context, complex network theory and Functional Magnetic Resonance Imaging (fMRI) techniques are used to map the br…
Suffix sorting is a fundamental problem in string processing that arises in many applications of Bioinformatics, Information Retrieval and Text Mining. This problem is related to the suffix array construction and the Burrows-Wheeler transform, which play an important role in text indexing (e.g. FM-index) and data compression (e.g. bzip). Several algorithms have been proposed to construct …
(Only some records are available in English at this moment)
Complex network theory has helped to identify valuable information in many domains, where systems are complex with non-trivial connections and properties. In this way, understanding how the network structure impacts the dynamics and also how to infer the structure from these dynamics is of paramount importance to the area. In this project, we aim to develop methods to analyze the patterns…
The post-doctoral project conducted by the candidate deals with algorithms to compute the Burrows-Wheeler transform (BWT), and investigate string similarity measures based on the BWT. Recently, Egidi, Louza, Manzini and Telles [7] introduced an external memory algorithm to compute the BWT together with the LCP array for a string collection, and showed how to output the document array (DA)…
Complex networks are graphs that model natural systems with nontrivial topology and dynamics. The topological properties and the evolution of these networks give information about the systems that they represent. This theory may be applied to solve machine learning tasks such as data classification. One example of dynamical learning mechanism in complex networks is the particle competitio…
(Only some records are available in English at this moment)
| 2 / 2 | Ongoing research grants |
| 11 / 8 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 25 / 21 | Completed scholarships in Brazil |
| 4 / 4 | Completed scholarships abroad |
| 43 / 36 | All research grants and scholarships |
| Associated processes | |