Welcome to my personal research website! I am a Electrical Engineer with outstanding interpersonal skills and proactive attitude. Currently, I am in the last semester of my Master’s Degree in Electrical Engineering with specialization in Smart Grid Control, Multivariable System Identification and EEG Signal Analysis using simulated data.

I have a solid background in management and regulatory analysis, as well as knowledge in key areas of electrical engineering, such as control, power electronics, power system operation, network design, power system optimization, adaptive control, predictive control, computational methods and models, embedded systems, 3D printing, computer vision, advanced measurement systems and Kalman filtering.

My undergraduate teaching experience in the electrical engineering program has been focused in the area of measurement and instrumentation. As a researcher, I have dedicated my efforts to the study of smart grids, focusing on the identification, control and optimization of microgrids, as well as on the adaptive multivariate processing of EEG data for the estimation of brain activity.

In addition, I am a research chapter leader for the IEEE Control Systems Society CSS, which allows me to stay at the forefront of advances in my field and foster collaboration with other professionals who are passionate about engineering. I am excited to continue to challenge myself, always with the intention of positively impacting the development and application of innovative solutions in the field of electrical engineering.