Computational Engineering

The main focus of computational engineering is research and innovation that involves aspects of engineering, computing, information systems, and applications. The topics addressed in computational engineering are grouped into three lines of research, which unfold in projects involving both graduate (master’s and doctoral) and undergraduate students (undergraduate coursework as well as final projects).

Lines of Research

• Information Systems and Computational Applications, in order to study, propose, and develop:
  

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  • Reliability and Critical Security (GAS)
  • Database Systems (GAS, LTS)
  • Complex Systems (GSC, LTS)
  • Automation (LAA, LSA)
  • Applications in the environment, agriculture, logistics, metro and rail systems, and aeronautics (BioComp, GAS, GSC, LAA, LSA, LTS)

• Organization of Computational Systems, which includes research aspects related to theory, analysis, synthesis, design, and implementation of computer networks (LARC)
  

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  • Computational Systems Performance (LARC)
  • Information and Network Security (LARC)
  • Computer Architecture (LARC, LAHPC)
  • Dedicated Systems (LARC, LAHPC)
  • Parallel Architecture and Processing (LAHPC)
  • Sustainability in Information and Communications Technology (LaSSu)

• Computing methodologies, covering research on technologies, methods, and theories aimed at studying and developing:
  

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  • Artificial Intelligence (LTI)
  • Multi-Agent Systems (LTI)
  • Computational Vision (LTI)
  • Intelligent Robotics (LTI)
  • Machine Learning (LTI, KNOMA, LTA)
  • Adaptive Techniques (LTA)
  • Knowledge Engineering (KNOMA)
  • Graphic Computation (InterLab)
  • Augmented Reality (InterLab)
  • Human-Computer Interface (InterLab)
  • Computing in Education (LTI, InterLab)