SCG's members

Group leader:


Prof Odemir M. Bruno, PhD

Artificial Intelligence, Complex Systems, Network Science, Data Science, Computer Vision, Bioinformatics


Post-doctoral:


Gilberto M. Nakamura, PhD

Complex Systems, Complex networks, Statistical Physics

Leonardo F. S. Scabini, MSc

Computer Vision, Artificial Neural Networks, Complex Networks, Pattern Recognition


PhD candidates:


Alex J. Flórez Farfán, MSc

Pattern Recognition, Machine Learning, Complex Networks, Agent Based Models

Altamir Gomes Bispo Junior, MSc

Chaos, Patterns, Dynamical Systems

João Vitor B.S. Merenda, MSc

Artificial Intelligence, Neural Networks, Automata, Deterministic Tourist Walk

Kallil M. C. Zielinski, MSc

Artificial Intelligence, Neural Networks, Network Automata

Mariane B. Neiva, MSc

Artificial Intelligence, Complex Networks, Computer Vision

Michiel Rollier, MSc

Non-uniform cellular automata, mathematical epidemiology, Python

Naruna Esselin Rodrigues, MSc

Artificial Intelligence, Neural Networks, Chaos Theory

Tim Van Wesemael, MSc

Artificial Intelligence, Neural Networks, Cellular Automata

Master candidates:


Alexis J. V. Gutierrez

Artificial Intelligence, Neural Networks, Network Automata

Daniel Torkomian Joaquim

Artificial Intelligence, Network Automata, Complex Networks, Cellular Automata, Data Science

Emanuel Furtado

Artificial Intelligence, Neural Networks, Computer Vision, Software Development

Elian Rafael Dal Pra

Artificial Intelligence, Deep Learning, Deep Generative Modeling

Gianella A. Milon Guzman

Artificial Intelligence, Neural Networks, Network Automata

Joao Valle

Artificial Intelligence, Neural Networks, Nonlinear ScienceDiscrete, Dynamical Systems

Lucas Caldeira de Oliveira

Artificial Intelligence, Neural Networks

Luiza Prette Fiorotti

Organoids, Artificial Intelligence, Data Science

Undergraduate students:


André Sacilotti

Computer Vision, Neural Networks

Gustav Asano

Complex networks

João Pedro Pazinato de Souza

Artificial Intelligence, Neural Networks, Network Automata

Kauê Hunnicutt Bazilli

Neural Cellular Automata

Victor Richard Cardoso

Cellular Automata, Network Science

Former researchers/students:

Former post-docs:

  • Lucas Correia Ribas. 2022.
  • Marina Jeaneth Machicao Justo. 2020.
  • Marina Jeaneth Machicao Justo. 2019.
  • Jan Marcel Baetens. 2019.
  • Jarbas Joaci de Mesquita Sá Júnior. 2017.
  • Dalcimar Casanova. 2016.
  • João Batista Florindo. 2015.

Former PhDs:

  • Leonardo Felipe dos Santos Scabini. 2023.
    Patterns and randomness in networks for computer vision: from graphs to neural networks
  • Rayner Harold Montes Condori. 2022.
    Multilayer analysis of convolutional neural networks for knowledge transfer applications.
  • Lucas Correia Ribas. 2021.
    Learning representations and characterizing complex networks with applications in computer vision.
  • Gisele Helena Barboni Miranda. 2019.
    Spatially explicit modeling on networks: understanding patterns & describing processes.
  • Humberto Antunes de Almeida Filho. 2018.
    Complex networks in cellular and molecular systems of plants.
  • Marina Jeaneth Machicao Justo. 2017.
    Patterns and pseudo-randomness using complex systems.
  • Marcos William da Silva Oliveira. 2016.
    Texture analysis in leaf images for early nutritional diagnosis in corn crops.
  • Maurício Falvo. 2015.
    Space-spectral mapping methods in multispectral images and their application in plant tissues.
  • Núbia Rosa da Silva. 2015.
    Heterogeneous pattern recognition and its applications in biology and nanotechnology.
  • Dalcimar Casanova. 2013.
    Complex networks applied to computer vision.
  • João Batista Florindo. 2013.
    Fractal descriptors applied to texture analysis.
  • Wesley Gonçalves Nunes. 2013.
    Dynamic and static textures and their applications in bioinformatics and nanotechnology.
  • Humberto Antunes de Almeida Filho. 2013.
    Characterization of plant cellular and molecular physiology through complex networks.
  • André Ricardo Backes. 2010.
    Studies of complexity analysis methods in images.
  • Rodrigo de Oliveira Plotze. 2010.
    Artificial vision and morphometry in the analysis and classification of biological species.

Former Masters:

  • Joao P. C. dos Santos. 2024
    Extraction of Biological Information from Topological Measurements of Networks.
  • Ana Carolina Ferreira Luchesi. 2022.
    Using machine learning for chaotic orbit analysis.
  • Cesar Adolfo Grosso Gamboa. 2021.
    Computational methods for detecting plant plasticity in Tradescantia minima caused by toxic agents.
  • Ângela Silviane Moura Cunha. 2020.
    Mosaic methods in microscopic images.
  • Victor Augusto Alves Catanante. 2020.
    Adaptive fusion of bright-field microscopy images acquired in different focal planes.
  • Marcela Lopes Alves. 2019.
    Classification of pseudo-random number generators by complex networks and computational geometry analysis.
  • Leonardo Felipe dos Santos Scabini. 2018
    Multispectral image analysis through complex networks.
  • Alex Josue Florez Farfan. 2018
    Environment for the analysis and comparison of texture descriptors.
  • Lucas Correia Ribas. 2017
    Dynamic texture analysis based on complex systems.
  • Mariane Barros Neiva. 2016
    Texture preprocessing methods to optimize pattern recognition.
  • Carolina Elisa Guillén Valencia. 2014
    SEBS image analysis system by atomic force microscopy.
  • Elias Ximenes Neto. 2014
    Hand gesture detection using depth cameras.
  • Lucas Assirati. 2014
    Entropy applied to pattern recognition in images.
  • Marina Jeaneth Machicao. 2013
    Chaotic cellular automata applied to cryptography and cryptanalysis.
  • Juan Herbert Chuctaya Humari. 2013
    Texture analysis of cellular images of oral tissues for cancer detection.
  • Alvaro Manuel Gómez Zúñiga. 2012
    Artificial vision system for identifying the nutritional status of plants.
  • Wesley Nunes Gonçalves. 2010
    Deterministic walks in complex networks applied to computer vision.
  • Dalcimar Casanova. 2008
    Texture analysis applied to the recognition of leaf organs.
  • Jarbas Joaci de Mesquita Sá Junior. 2008
    Identification of plant species through the analysis of microscopic images of leaves.
  • Leandro Henrique Oliveira Fernandes. 2008
    Simulation of optical and physiological phenomena of the human visual system.
  • Leandro Paganotti Brasil. 2007
    Simulation and modeling of the sensory retina in the Virtual Eye Project.
  • André Ricardo Backes. 2006
    Implementation and comparison of fractal dimension estimation and its application to image analysis and processing.
  • João Batista Florindo. 2006
    Functional data analysis applied to the generation of fractal dimension signature descriptors.
  • Julio Cesar Torelli. 2005
    Parallel implementation of the exact Euclidean distance transform.
  • Mário Augusto Pazoti. 2005
    CITRUSVIS - A computer vision system for the identification of the fungus Guignardia citricarpa, causing black spot in citrus.
  • Mauricio Falvo. 2005
    Identification of plant species through leaf contour analysis - a bio-inspired approach.
  • Ricardo Fabbri. 2004
    Comparison and development of Euclidean distance transform algorithms and applications.
  • Christian Cesar Bones. 2004
    Parallelization of the Hough transform.
  • Rodrigo de Oliveira Plotze. 2004
    Identification of plant species through the analysis of the internal shape of leaf organs.