is an Associate Professor at the Physics Institute of São Carlos at the University of São Paulo in Brazil. He is head of the Scientific Computer Group and vice head of the Department of Material Sciences. He received his B.Sc. in Computer Science and his Ph.D. in Computational Physics at the University of S. Paulo (Brazil). He is an author of about hundred papers in journals and several book chapters. He is a co-author of two books and an inventor of seven patents. His fields of interest include Artificial Intelligence, Computer Vision, Image Analysis, Chaos, Fractals, Complex Systems, Complex Networks, Pattern Recognition, Plant Sciences and Bioinformatics (Source: Lattes Curriculum)
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Increasing computational power allows for the description and prediction of natural processes by modelling its smallest-scale interactions, recreating natural phenomena in a bottom-up fashion. Two classes of such approaches, which are especially pertinent for modelling spatio-temporal processes, are cellular automata (CAs) and their topological extension, network automata (NAs). The simpl…
Grand challenges such as the fabrication of sensing devices for early diagnosis of cancer and detection of food/water contamination can only be addressed with concerted efforts in multidisciplinary research. Selected problems within the above challenges will be tackled in this Project by a multiinstitutional team of physicists, chemists, engineers, medical doctors and computer scientists,…
Prof. Odemir M. Bruno was one of the participants of the WWU-USP Workshop in Munster in January 2018. In this workshop, several research collaboration opportunities arose. One of those is the collaboration with Prof. Lars Linsen, where the main purpose is to combine the research of both groups, visualization of dynamical systems by the German side and patterns in complex systems and chaos…
The House of Representatives passed the National Quantum Initiative Act last month. When signed into law, the bill will outline a 10-year plan to push forward applications using the counterintuitive science of subatomic particles. Texas A&M University (TAMU) is moving forward towards application of quantum science and technology to enhanced imaging and sensing. The PI, Dr. Yakovlev, is cu…
(Only some records are available in English at this moment)
The theory of Complex Networks enables the study and understanding of non-linear phenomena from varied domains such as biochemistry, social interactions and the Internet. Additionally, Network Automata are formalisms that adapts the logic of a cellular automaton for the non-regular tessellation of networks, having been used efficiently for the characterization of complex networks through …
Complex networks are a field of study which combines graph theory and methods from statistical mechanics to represent complex systems. In the area of machine learning, networks have been widely discussed in the literature in computer vision and artificial intelligence tasks, proving to be a tool with great potential for the area in recent years. Recent studies, mostly by researchers from …
Sensors and biosensors play a crucial role in various fields, such as early cancer diagnosis, detection of viruses, contamination in food, water, etc. Intending to develop cost-effective and accurate detection and diagnosis strategies, researchers have explored the use of machine learning techniques and computer vision. While these approaches have shown promising results in biological ima…
This post-doc project, to be executed into the Scientific Computing Group (SCG), aims to harness the synergy of cellular automata, machine learning, and complex networks to advance data analysis and pattern recognition techniques. The primary objective is to create novel tools for characterizing and extracting meaningful metrics from complex networks, utilizing network-automata and neural…
The objective of this project is to use metabolic networks built from experiments of gene expression as to obtain possible differentially expressed metabolic pathways, so we can better comprehend the workings of the metabolism of the fungus Aspergillus fumigatus, that has been acquiring resistance to fungicides like Caspofungin. The construction of the networks will use algorithms already…
(Only some records are available in English at this moment)
The objective of this project is to train the candidate in the analysis of cellular automata for networks (i.e. network automata, NAs). The project will be developed in the research group of Prof. Dr. Jan M. Baetens, installed at Ghent University. In this research group, the candidate will implement a rule space exploration approach based on stochastic gradient descent, and analyze the ef…
Sensors and biosensors play a crucial role in various fields, such as early cancer diagnosis, detection of viruses, contamination in food, water, etc. Intending to develop cost-effective and accurate detection and diagnosis strategies, researchers have explored the use of machine learning techniques and computer vision. Images obtained from these sources possess unique textural properties…
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…
(Only some records are available in English at this moment)
| 1 / 1 | Ongoing grants |
| 13 / 11 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 28 / 22 | Completed scholarships in Brazil |
| 8 / 8 | Completed scholarships abroad |
| 52 / 44 | All research grants and scholarships |
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CV Lattes
ORCID