We investigate and develop methods to address complex real-world and theoretical problems through artificial intelligence, machine learning, data science, and optimization.
Our group focuses on the theory, application, and development of computational intelligence methods for automatic knowledge acquisition.
Developing intelligent systems that can perceive, reason, and act in complex environments.
Time series analysis, dynamical systems, clustering, text mining, and chaos theory approaches.
Analysis of big data and temporal systems, extracting patterns and knowledge from complex datasets.
Single and multi-objective combinatorial optimization, evolutionary computation, and hybrid metaheuristics.
Applying computational intelligence to medical diagnostics and healthcare challenges.
Leveraging AI for biological data analysis, genomics, and molecular research.
Using data-driven methods for earth sciences, environmental modeling, and spatial analysis.
Our research is led by experienced faculty members with international academic backgrounds.
Time series analysis, dynamical systems, chaos theory, and machine learning. PhD from ICMC-USP with stays at Université de Montréal and Hong Kong PolyU.
Fuzzy logic, clustering, text mining, and logic & semantics of programs. PhD from ICMC-USP with stays at McGill and University of Granada.
We welcome MSc., PhD, and Postdoc students. Check out our admission program and start your research journey with us.
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