Archived information from the PPG-CComp.
The CComp board was formed by the following members (2018-2019):”
- Cristiane Oliveira de Faria (Coordinator)
- Igor Machado Coelho (Deputy Coordinator)
- Maria Clícia Stelling de Castro
- Patricia Nunes da Silva
- Regina Serrão Lanzillotti
- Zochil González Arenas
PREVIOUS LINES (OLD DESCRIPTION)
LINE 1: Methodologies and Techniques for Software Development
The research line “Methodologies and Techniques for Software Development” aims to study methods and techniques for developing software solutions, considering the stages of development, evaluation, and management. The topics addressed and the technologies applied in the developed solutions include: Context-Aware Systems, Virtual Reality, Multi-agent Systems, Intelligent Agents, Internet of Things (IoT), and Mobile Computing. The projects in this line focus on using Software Engineering to develop solutions in the area of Complex Systems.
LINE 2: Modeling and Simulation of Natural and Artificial Systems
This research line encompasses topics aimed at the mathematical-computational modeling of underlying mechanisms in systems and physical processes described by various scientific fields, such as biology, chemistry, condensed matter, medicine, physiology, and systems in the humanities and social sciences. The physical systems studied may be natural, such as cellular membranes, neural circuits, ligand-protein interaction, cellular and histocompatibility processes, ecosystems, and nano-structured metallic systems; or artificial, such as artificial neural networks, game theory agents, and financial systems. The work investigates the functioning of various systems and physical processes based on data from experimental observation and measurement, which can also be obtained from the literature. The models are based on mathematical and computational theories and methods and are interpreted in light of principles from diverse scientific fields such as Physics, Chemistry, Biology, Pharmacology, Psychology, and Sociology, also involving knowledge from Engineering and Medicine.
LINE 3: Theories and Computational Methods
This line is characterized by the study of algorithms in both their fundamental (theory) and applied aspects, aiming at the use of computational methods and techniques to solve technical and scientific problems. The line includes the following major topics: Algorithm Correctness and Formal Properties; Graph Theory; Algorithm Complexity; Parallel, Distributed, and High-Performance Computing; Algorithms for Large Data Volumes; Heuristics and Metaheuristics; Combinatorial Optimization and Operations Research; Logic; Computational Intelligence; Computing Systems; Theory of Computation; Mathematics of Computation.
LINE 4: Theories and Methods of Physics and Mathematics
This research line focuses on the study and development of numerical and analytical methodologies that can be used for modeling in computational sciences. It emphasizes the theories and methods of Physics and Mathematics for describing, understanding, and analyzing complex systems, with applications in various fields of knowledge. The projects developed in this line encompass aspects of discrete and continuous mathematical modeling, involving methods of calculation and variational analysis, numerical analysis, computational linear algebra, statistical mechanics, probability theory, and control theory.