Presentation

Graduate Program in Automation and System Engineering

The innovative character of the Graduate Program in Automation and Systems Engineering results from the accelerated and irreversible process of automation of production processes in several areas, including non-industrial applications, in Brazil and in the world, being strongly related to the development of Information and Communication Technologies. The Program follows, at the graduate level, from the creation in Brazil of undergraduate degrees in Automation Engineering and in Mechatronics, of which UFSC was one of the pioneers, starting the first certified degree in Control and Automation Engineering in 1990.

Due to its comprehensive and interdisciplinary character, the Graduate Program in Automation and Systems Engineering can serve students with diverse backgrounds: engineers with degrees in Control and Automation, Mechatronics, Electrical, Mechanical, Chemical, and Production engineering, as well as bachelors in Computer Science, Information Systems, Physics, Mathematics and other scientific backgrounds.

The faculty of the Graduate Program in Automation and Systems Engineering is composed of 26 permanent members and 4 collaborators (with sporadic teaching and supervising activities). Of the permanente members, 11 hold CNPq scholarships, a national distinction for research contribution in their areas of expertise.

Contribute to the training of professionals and to the scientific and technological development and innovation in Automation in the country. Know more.

Goal

Educate for the formation of qualified professionals, generating and disseminating scientific, technological and innovation knowledge, to contribute to the development of society at the regional, national and international levels in the area of Control, Automation and Systems Engineering. Read more.

Courses

Academic Master and Ph.D. degrees.

Research Areas

Control:
- Modeling, simulation, and identification of dynamical systems.
- Control of continuous, discrete, and hybrid systems.
- Measurement, and instrumentation for control and automation.
Automation and Mechatronic systems:
- Mobile robots modeling and control.
- Computer vision systems.
- Urban traffic control.
- Sensors and Actuators.
Computational Systems:
- Real-time and fault-tolerant control.
- Distributed and networked control systems.
- Software engineering and computational science.
- Artificial intelligence and industrial informatics.
Automation, Control, and Optimization for Oil and Gas Industries:
- Advanced process control for the oil and gas industry.
- Model Predictive Control (MPC) and embedded mathematical optimization.
- Oil field production optimization.
- Instrumentation for oil and gas processes.
- Automation of production platforms.