Researcher, UFPE

Biography

Currently pursuing a PhD in Mechanical Engineering with a focus on Energy, I bring expertise from a Master's in Mechanical Engineering, a Civil Engineering background, and specializations in Project Management and Renewable Energy. My recent work centers on innovating at the intersection of energy engineering and artificial intelligence, developing advanced AI frameworks for anomaly detection and predictive maintenance in wind turbines, key topics for this congress. I have published articles in high-impact journals on machine learning and wind power, alongside registering computer programs for these applications. Actively engaged in R&D projects, I leverage data-driven maintenance and advanced Python-based Machine Learning techniques to optimize wind farm operations, enhancing availability and efficiency.