The fundamental justification for this topic is the production of knowledge, training of human resources at international level and conception of innovative and interdisciplinary solutions in areas related to information and communication technologies and complex systems, as well as their interactions with demands from society, such as the improvement of citizens’ quality of life, and sustainability.
This theme is aligned with the innovation agency of UFABC, an initiative of scientific and technological infrastructure that aims to transcend barriers between academic research and technological innovation.
It is expected that the knowledge generated by the projects related to this theme will have a strong interaction with the productive sector of the society in the perspective of generating technological innovation, using a transversal vision related to virtualization technologies (virtual reality and virtual worlds), multimedia (signal processing and application development), entertainment (computer graphics and games), internet (computer networks and mobility) and computing systems (high performance computing and big data).
Also, the description of complex physical and biological phenomena can benefit from mathematical modeling that uses differential equations and from the use of special analytical techniques or numerical and computational methods – the more realistic a model becomes, the more likely it is to incorporate non-linear effects. Nonlinear phenomena are quite common in science and are a fertile field of research within pure and applied mathematics, which justifies their study within the proposed topic. It also encompasses the interdisciplinary field of data-oriented science, which involves scientific methods, processes, and systems capable of extracting knowledge and understanding phenomena using data in different formats, e.g., structured, semi-structured or unstructured.
For this purpose, we have used techniques and theories in mathematics, statistics, computer science, information science, in particular, the subdomains of machine learning, pattern recognition, data mining, databases, graphs, and visualization. It is an area fostered by advances in information technology and the generation of large data volumes.
Research projects
Data Science
Combinatorics and applications in Bioinformatics, Scientometrics, and Computer Graphics
Non-linear phenomena in analysis, physics and biology
IoT-based Applications for Smart Cities and Smart Farming
Development and Evaluation of Innovative Technologies to Mediate Learning