Fuzzy Systems, Cybernetics, and Control
Research Group
Contact: daniel.furtado@uai.cl; danfl7@gmail.com
"Words do not express thoughts very well. They always become a little different immediately after they are expressed, a little distorted, a little foolish" - H. Hesse
The BCT Initiative
We are involved in the following research topics:
Basic AI Methods
Evolving fuzzy systems
Evolving neural and neuro-fuzzy networks
Data stream mining and online machine learning
Incremental and evolving clustering
Granular computing
Bio-inspired computing
Adaptive pattern recognition
Adaptive statistical methods
Big data
General theory of uncertainty
Problems and Methodologies
Stability, robustness, convergence
Feature selection and dimension reduction
Model interpretability issues
Missing data and unbalanced datasets
Ensemble learning
Semi-supervised learning
Adversarial machine learning
Computational complexity analysis
Applications
EEG control of physical and virtual objects
Closed-loop control of time-varying dynamic systems
Nonstationary time series prediction
Mobile robotics and intelligent transport
Medical decision support systems
Modeling and simulation of industrial systems
Fault detection and online condition-monitoring systems
Latest news
20 Sept 2020 - Cristiano Garcia talks about Incremental Missing-Data Imputation by using a new fuzzy method [Youtube]
15 Sept 2020 - Charles Aguiar is qualified to the MSc degree in Online Unsupervised Machine Learning and Evolving Fuzzy Systems. The committee was composed by Patricia Ferraz, Jose Willer, Alisson Silva, and Daniel Leite
1 Sept 2020 - We have 4 papers accepted at the Brazilian Congress on Automation [CBA'2020]
30 Jul 2020 - We reached 41 subscribers and 450 views. Subscribe to our channel on YouTube [YouTube Channel]
24 Jul 2020 - Leticia Decker and Daniel Leite presented their papers, together with Marcio Santana and Paulo Souza, at the WCCI'20, Glasgow - UK
22 Jul 2020 - Leticia Decker is a finalist of the WCCI'20 (FUZZ-IEEE) Best Student Paper Award, Glasgow - UK
30 Jun 2020 - The Evolving AI Lab has a new YouTube Channel. New videos will be posted from time to time. Link: [YouTube Channel]
28 May 2020 - Daniel Leite presented a pair of papers, authored by Charles Aguiar, Leticia Decker and Italian colleagues, at the IEEE EAIS'20, Bari - Italy
19 Mar 2020 - University closed due to the COVID-19 pandemic
20 Feb, 2020 - Lucas Silva graduated with MSc degree in Fuzzy Clustering and Reliability Centered Maintenance
20 Feb, 2020 - Tamyres Pereira graduated with MSc degree in Incremental Clustering from Uncertain Data Streams
15 Feb, 2020 - Fabricio Lucas et al. had a paper published in the Springer's Evolving Systems journal. 'Fault Detection in Smart Grids with Time-Varying Distributed Generation using Wavelet Energy and Evolving Neural Networks'
27 Dec, 2019 - Vania Mota is now a Postdoctoral Researcher with us
5 Dec, 2019 - We had our local VI Seminar on Fuzzy Systems with 10 paper presentations
31 Oct, 2019 - Brendo Silva, Charles Aguiar, Danyellen Gonçalves, and Daniel Leite attended the Brazilian Symposium on Intelligent Automation, SBAI'19, Ouro Preto - MG, Brazil (papers available on Research Gate)
14 Oct, 2019 - Daniel Leite and Fernando Gomide are organizing a Special Session titled Adaptive Machine Learning and Evolving Intelligent Systems at the IEEE EAIS Conference in Bari - Italy, May 2020
07 Oct, 2019 - Tatiane Alvarenga is now a Postdoctoral Researcher with us
27 Sept, 2019 - Daniele Silva graduated with MSc degree in Fuzzy Control applied to Food Science
26 Sept, 2019 - João Paulo Tavares graduated with MSc degree in Evolving AI for Autonomous Vehicle Navigation
02 Sept, 2019 - Cassio Monti is now a PhD Student with us
Partners over the years have included:
