Advanced Computational Methods

The development of computational models for solving complex problems requires the use of methods from different areas of computing. This project foresees the use of signal processing, computational intelligence, numerical methods and high performance computing to solve problems arising in the areas of transportation, telecommunications, health, geophysics, agriculture, internet of things, energy, smart cities, among others. We seek the development of computationally treatable approaches, which are robust and efficient, ensuring stability and convergence for the solution of proposed problems.

In the topic of signal processing and computational intelligence, the development of new adaptive filtering algorithms, theoretical analysis of these algorithms and the development of models based on observed data are sought. Approaches involving computer vision for embedded devices and techniques capable of reducing energy expenditure in sensor networks are examples of applications.

Regarding the theme of numerical methods and high performance computing, the aim is to design and develop efficient methods for practical and everyday problems, as well as scientific or engineering problems, which describe applications in the areas of environment, geophysics, health, fluid dynamics, as well as models for the financial market. Computational solutions are formulated that are capable of describing the dynamics of such problems in a robust and efficient manner. Included in this theme are parallel processing techniques to reduce simulation time through parallel and distributed processing environments, multi and many colors, such as supercomputers, clusters, graphics cards (GPUs), as well as embedded system cards.

Researchers:

  • Diego Brandão (Coordinator)
  • Rafaelli Coutinho
  • Laura Assis

International partnerships:

  • Rodrigo Franco Toso (Microsoft AI & Research)

Financial Information:

  1. FAPERJ APQ1 announcement, project “Computationally efficient numerical methods for solving partial differential equations”, in the 2016-Current period, with the coordination of Professor Diego Brandão. Financed amount R$ 13,000.00.
  2. Notice of Research Group of CEFET / RJ, project “Research Group in Computational Modeling”, in the 2016-current period, with the coordination of Professor Diego Brandão. Financed amounts: R $ 69,854.10 (2017) and R$ 115,068.45 (2018).
  3. PIBIC Scholarships.

These projects have been under development by the group members since 2016 and have a total financing value of approximately R$ 197,922.55.

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