Leandro Goulart de Araujo

Chemical Engineer | Machine Learning | Nuclear Technology

France & Brazil | Multilingual: PT | EN | FR | ES

lgoulart@alumni.usp.br | +33 7 81 54 46 43

Download CV (EN)

Nuclear Technology - Applications

Radioactive Oil Sludge Treatment

Advanced oxidation of petroleum sludge. Focused on radionuclide stabilization and waste minimization.

Adsorption of Radionuclides

Biosorption and adsorption studies for uranium, radium, americium and other radionuclides using biochars and composites.

Working with the Team

Projects in which I collaborated closely with researchers in nuclear areas.

Machine Learning Applications

ML in Catalysis

Review on recent ML developments in catalysis, with emphasis on kinetic modeling and catalyst performance.

ML in Adsorption

Application of ML models to predict adsorption of pollutants, material selection and data-driven optimization.

Water, Wastewater, and Gas Treatment

Advanced Oxidation Processes

Process optimization and kinetic modeling for degradation of organic contaminants using UV/H₂O₂, ozone, and combined systems.

Adsorption of Dyes and Metals

Studies on adsorption capacity, material characterization, and mechanisms for pollutants in liquid media.

Methane Pyrolysis via Catalysis

Production of hydrogen and solid carbon using electrical and microwave catalytic systems in fluidized-bed reactors, including preliminary CFD modeling.

Ongoing Projects

Development of kinetic models for methane cracking on Fe@C catalysts in fluidized-bed reactors
Machine learning applied to project risk management in radioactive waste treatment
Adsorption of Reactive Black 5 dye: combining biochar properties and ML predictions
Predictive models for UV and solar photocatalysis of pharmaceuticals and personal care products