Research lines

Our graduate program is divided into two main research lines, which are the following: Applied Numerical Methods and Applied Computational Systems. These research lines are briefly described below. For each research line we provide some ongoing projects.

Applied Numerical Methods

This line emphasizes the development and application of numerical methods to solve problems of different natures described by mathematical models. The focus is mainly on problems of solid mechanics, biomechanics, dynamics of deformable bodies, molecular modeling, cardiac physiology and neurophysiology.

Computational modeling of biological and physiological systems
Computational Biomechanics
Computational fluid dynamics
Flows in porous media
Multiscale computational modeling of solids and structures

Applied Computational Systems

This line of research emphasizes the development and application of techniques derived from computer science related to artificial intelligence, distributed systems and software development to emerging problems in different areas of knowledge.

Machine Learning, Evolutionary Computing and Metamodels for solving Science and Engineering problems
Bioinformatics and Molecular Dynamics
High performance computing, modeling and analysis of complex systems
Data mining, pattern recognition and time series
Innovation strategies for postgraduate teaching, research and development