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Credentials and Expertise
Comprehensive tutoring across multiple disciplines
From algebra to advanced calculus and beyond
Classical mechanics to quantum physics and chemical principles
Modern artificial intelligence and ML algorithms
From basics to advanced data science applications
Object-oriented programming and enterprise applications
Scientific computing and numerical analysis
Projects, Publications, and Posts
Developed advanced grey-box models combining data-driven machine learning with physics-based approaches for flow routing in hydro-reservoirs. Implemented for flood mitigation and energy production optimization using Model Predictive Control.
Developed dynamic control techniques for pressure management during oil well drilling to prevent fluid loss in reservoirs. Created smart monitoring and decision-making systems for regulating annulus bottom hole pressure.
Investigated chemical compounds (triazines) as H2S scavenging agents for oil well drilling operations, including synthesis, corrosion inhibition, and flow evaluation studies.
Designed and implemented neural network-based systems for operational forecasting and decision support in water resource management and flood control applications.
Delivered over 200 customized predictive models and optimization solutions for clients across engineering, finance, and environmental sectors in Brazil, Europe, and North America.
Arcler Press, 2017 (Co-author: E.F. Avelino)
Arcler Press, 2017 (Co-author: E.F. Avelino)
Arcler Press, 2017 (Co-author: E.F. Avelino)
Arcler Press, 2019 (Co-author: E.F. Avelino)
Brazilian Journal of Chemical Engineering, 2016 (with Vega, M.P. et al.)
Advances in Hydroinformatics, simHydro 2017, Sophia Antipolis
European Geosciences Union General Assembly 2017, Vienna
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