Students
Research students
Ph.D. candidate
– Multiagent Reinforcement Learning.
– Multiagent Systems.
– Combinatorial Optimization.
– Meta Heuristics and Hybrid Metaheuristics.
Ph.D. candidate
– Nonlinear optimization.
– Evolutionary computing.
– Optimal control.
– Numerical methods.
– Vector control.
Ph.D. candidate
– Numerical methods.
– Partial differential equation.
– Optimization.
– Optimal control.
Ph.D. candidate
– Evolutionary computation.
– Multi and many-objective optimization.
– Quality indicators.
– Machine learning.
– Artificial intelligence.
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.
Ph.D. candidate
– Combinatorial optimization.
– Evolutionary algorithms.
-Multi-objective problems.
-Many-objective problems.
Research staff
Data Scientist
– Evolutionary computation.
– Logistics; Anomaly detection.
– Time series modeling.
– Machine learning.