Alejandro Zambrano

Neural Networks course. This subject is taught in the final year of the Electronics Engineering program at UNEXPO. This course covers the fundamentals of artificial neural networks and its differents learning types: supervised, unsupervised, self-supervised, as well as their industrial applications and the state of the art of this bio-inspired machine learning technique. We demonstrate the concepts through lab exercises in MATLAB/Simulink and the NNT.

At the Models and Intelligent Systems Group, I´m responsible of the analysis, design, implementation, support and maintenance of mathematical process control models that govern the automatic systems in hot and cold strip rolling mill, the bar rolling mill and the pelletizing plant. Also, I’m responsible for the design and implementation of models that requires the use of computational intelligence technologies.

As a Trainee in the IC Design House located in Campinas - SP, I worked on the behavioral modeling and design of analog and mixed signal blocks for power management applications.

As an Intern for the Applied Research Center (CIAP) located in Macagua Hydro Plant in Ciudad Guayana, I worked on the development of a computational tool for closed-loop dynamic system Identification throughout Artificial Neural Networks

Power Management Circuits: bandgap voltage references, current and voltage sources among others

Courses: - Signals and Systems. - Digital Communications. - Optical Fiber. - Satellite Communications

Computational Intelligence applied to Automation