Research Areas

In this master’s program, work in the chosen concentration area involves activities in various subfields of Computer Science, focusing on two lines of research: Computer Systems (CS) and Intelligent Computing (IC). In the specific case of this project, one of the main intentions is regional development, applying Computer Science concepts to the research and resolution of everyday problems. In this way, other areas of knowledge from our institution and/or external ones, whether from different states and regions or not, can work in conjunction with these two lines of research, allowing them to be applied to their respective research problems for the development of technologies and solutions. This interdisciplinarity enables the promotion of projects, partnerships, collaborations, and research investments as solutions for real regional problems.

Computer Systems

This line of research deals with the proposition and evaluation of methodologies, architectures, techniques, and algorithms aimed at enhancing the development and operation of computational systems. We focus on modeling techniques to create modular systems and on algorithms to improve data organization and manipulation. In this sense, studies are proposed to improve both the software development process and the quality of the developed systems. Furthermore, proposals, evaluations, improvements, and validations of solutions related to the logic and infrastructure for data storage, processing, and transmission will be carried out, as well as the distribution, communication, and scalability of computational systems.

Intelligent Computing

Its main objective is to establish and disseminate expertise in modeling and solving real-world problems through an unconventional computational and mathematical approach, focused on the paradigms of Computational Intelligence and Mathematical Modeling in their main branches. This line of research develops topics in Artificial Intelligence (Symbolic and Computational), applying algorithmic modeling to solve optimization problems in various areas, such as transportation, computational biology, and network planning.