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Research Areas

The research activities are divided into the following areas of concentration, with high potential of integration:

Algorithms and Optimization

This area of studies is devoted to computational and mathematical models of fundamental optimization problems or of optimization problems arising from application fields such as telecommunications, transportation, logistics, sports scheduling and timetabling, manufacturing, computational biology or medical sciences, among others, as well as to the search for efficient algorithms for their exact or approximate solution. There are four main complementary research lines covered in this area: computational Biology, Combinatorial Optimization, Metaheuristics, and Graph Theory and Algorithms.

Computer Systems

This area focuses on theoretical and applied scientific research in the following topics: Distributed Algorithms and Systems, Ubiquitous Computing, High Performance Computing, Computer Networks, Computer Systems Security and Multimedia Systems. The area offers modern computational resources in thematic laboratories such as MídiaCom, Tempo Laboratory and SGCLab as well as ample access to resources outside IC-UFF through extensive collaborations with companies and other national and international research laboratories. This research area regularly offers courses in: Distributed Algorithms, Parallel Algorithms, Parallel Architectures, Mobile Computing, Computer Networks and Real-Time and Embedded Systems. In addition, electives courses include: Computer Networks Architectures, Performance Evaluation, Large Scale Computing, Ubiquitous Computing, Embedded Systems Design, Network Engineering, Multimedia Systems, Parallel Programming, Multimedia Networks, Network Security and Selective Topics in Computer Systems.

Scientific Computation and Power Systems

This concentration area encompasses two major fields. Scientific Computation is devoted to the development of computational systems to represent the phenomena under study based on their mathematical description. Computational techniques are analyzed in order to establish, in a formal sense, their efficiency and effectiveness. Power systems are intended for the generation, transmission and distribution of electricity. Computational methods, optimization techniques and artificial intelligence are employed to solve complex problems related to operation and planning of such systems. In this area, the activities are developed in four research areas: Computational Methods for Differential Equations, Computational Modeling and Simulation in Science, Computational Analysis of Power Systems and Power Systems Optimization.

Visual Computing

The Visual Computing field is related to computational systems applied to any stage of visual data acquisition, rendering or interpretation. It is an interdisciplinary field that requires knowledge in computer science, mathematics, physics, engineering and cognitive sciences, among others. The deepness of the required knowledge in each field depends on the selected research topic. In the Visual Computing field the activities are developed into 6 research topics: Image Analysis and Processing, Computer Graphics, Games and Digital Entertainment, Computer Vision, Human-Computer Interface and Geometric Data Processing.

Systems and Information Engineering

Systems and Information Engineering (SIE) research interests properly ​include ​the development and application of well-founded methodologies and techniques for software development and data processing. Many aspects of modeling, reasoning, and implementation of computational systems are of interest together with acquisition, representation, management, analysis and transformation of data, information and knowledge. SIE is currently composed by five Computer Science disciplines: Artificial Intelligence, Databases, Formal Methods, Programming Languages, and Software Engineering.



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