Advanced control via artificial intelligence
Control of complex systems: Control of power systems, synchronization and analysis of systems with multiple interconnected sources on the grid and in standalone mode. Control and management of microgrids. Control of multi-converter and/or multi-machine systems. Control and automation of industrial systems.

Various applications in artificial intelligence: Adaptive and predictive control. Characterization, identification, and modeling of electrical charges. Signal processing and intelligent measurement. Data acquisition, classification, and management. Power quality analysis. Building modeling and energy and power demand management. Communication systems.

Embedded Systems: Implementation of diverse applications using Very Large Scale Integration (VLSI) technology, microprocessors, and microcontrollers. Development of embedded applications and systems for real-time signal control, processing, and analysis. Hardware implementation of models, adaptive algorithms, and neural networks using FPGAs. Co-design of hardware and software, including multi-core applications. Real-time co-simulation and emulation.

Electronics: Design and implementation of power, measurement and control circuits for various applications. Design and production of static converters and power interfaces for renewable energy systems and hydrogen technologies (fuel cells).