Members

Flavio Cruzeiro

Assistant Professor
DECOM

SORAI Lab coordinator

– Evolutionary algorithms.
– Multi-objective and combinatorial optimization.
– Optimization applied in real-world problems.

Elizabeth Wanner

Associate Professor
DECOM

– Evolutionary computation.
– Global optimization.
– Constraint handling techniques for evolutionary algorithms.
– multiobjective optimization.

João Sarubbi

Associate Professor
DECOM

– Combinatorial Optimization.
– Transportation Problems.
– Facility Location Problems.
– Vehicular Networks.
– Heuristics.

Elisangela Martins

Assistant Professor
DSCA

– Integer programming.
– Decomposition methods.
– Location problems.
– Network design problems.

Dênis Vargas

Assistant Professor
DM

– Evolutionary algorithms.
-Multi-objective optimization.
– Constraint handling techniques for evolutionary algorithms.
– Preference-Based evolutionary algorithms for multi-objective optimization.
– Optimization applied in real-world problems mainly in structural engineering.

Sérgio Ricardo de Souza

Full Professor
DECOM

– Integer Optimization.
– Applications of Metaheurístics.

Rodrigo Cardoso

Associate Professor
DM

– Multiobjective Optimization.
– Epidemics Control.
– Investment Portfolio Optimization.

André Cruz

Assistant Professor
DECOM

– Optimization.
– Applied Mathematics.
– Evolutionary Algorithms.
– Game Development.

Rafaela Moreira

Ph.D. candidate

– Optimization.
– Artificial Intelligence.

Jardell da Silva

Ph.D. candidate

– Multiagent Reinforcement Learning.
– Multiagent Systems.
– Combinatorial Optimization.
– Meta Heuristics and Hybrid Metaheuristics.

Amália Vasconcelos

Ph.D. candidate

– Nonlinear optimization.
– Evolutionary computing.
– Optimal control.
– Numerical methods.
– Vector control.

Josenildo Lima

Ph.D. candidate

– Numerical methods.
– Partial differential equation.
– Optimization.
– Optimal control.

Cláudio Lúcio

Ph.D. candidate

– Evolutionary computation.
– Multi and many-objective optimization.
– Quality indicators.
– Machine learning.
– Artificial intelligence.

Renan Mendes

Ph.D. candidate

– Mono, multi and many objective optimization.
– Dimensionality reduction.
– Computational intelligence.
– Multivariate statistics.
– Machine and deep learning.
– Natural Language Processing.
– Data analysis and data science.

Renan Viana

Ph.D. candidate

– Combinatorial optimization.
– Evolutionary algorithms.
-Multi-objective problems.
-Many-objective problems.

João Francisco

Ph.D. candidate

– Optimization.
– Operations Research.
– Structural Engineering.

Rodrigo Borges

Data Scientist

– Evolutionary computation.
– Logistics; Anomaly detection.
– Time series modeling.
– Machine learning.

Lucas Padia

MSc Student

– Evolutionary computation.
– Multi-objective optimization.
– Artificial intelligence.