Area of Concentration and Research Lines

Mathematical and Computational Modeling is an essentially interdisciplinary field of knowledge in which the simulation of real-world systems is studied through the application of mathematics and computer science, with the aim of mathematically or computationally describing and predicting the behavior of a phenomenon. Professionals trained in Mathematical Modeling have the ability to use mathematical and computational tools to solve interdisciplinary problems in different fields of knowledge, contributing to the development of the region in which UNIJUÍ is located and of the country as a whole. Specialists with this profile are scarce in Brazil, particularly in regions far from major urban centers. Professionals trained in the Mathematical and Computational Modeling Program have a distinctive profile, as, in addition to knowledge of mathematics and computer science, they possess expertise in research-related fields, including physics, mathematics, computer science, engineering, among others.

• Intelligent Systems and Technology: It aims to use mathematical and computational modeling integrated with emerging digital technologies such as artificial intelligence, the Internet of Things, smart grids, smart cities, and smart farms to design data-driven hardware and software solutions that automate processes and support agile and reliable decision-making. It emphasizes integration and interoperability among heterogeneous systems, flexible computing architectures, and consistent connectivity, ensuring security, privacy, trust, and resilience. It also seeks to develop mathematical and computational methods and models, with metrics and indicators for monitoring and continuously improving performance and services, thereby promoting technological development and sustainable innovation. It applies digital concepts and technologies to the fields of health (Digital Health), environmental assessment (Environmental Monitoring), and the interpretation of biological data (Bioinformatics and OMICs). It also includes the investigation of teaching and learning methodologies that foster computational thinking and the development of digital competencies, promoting the integration of technology and education.
• Biosystems Engineering: It aims to apply mathematical and computational modeling in an interdisciplinary manner to the fields of Engineering, Physics, Chemistry, Agricultural Sciences, and Biological Sciences, with a focus on technological development and innovation in agriculture, post-harvest technology, systems automation, sensors, bioenergy, natural resources, and sustainability. Areas of interest within this research line include increasing agricultural productivity, improving the nutritional quality of food, optimizing the use of natural resources in agriculture, sustainable production, the impacts of climate change on agriculture, energy efficiency in grain drying and storage, safe and sustainable food storage, and biodegradable and sustainable sensors.