About me
I am a Ph.D student in mechanical engineering at UCF and a graduate research assistant in the PML lab. My research interests include machine learning applied to engineering and more specific Physics-informed neural networks. Download my CV.
Interests
- Applied machine learning
- Physics-informed neural networks
- Uncertainty quantification
Education
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PhD in Mechanical Engineering, Expected 2026
University of Central Florida
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MSc in Mechanical Engineering, 2022
Federal University of Rio Grande do Sul
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BSc in Mechanical Engineering, 2019
Federal University of Rio Grande do Sul
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Exchange program, M2-Éco-Activités et Énergie, 2018
IMT Mines Albi-Carmaux
Experience
Graduate research assistant
Graduate research assistant
Undergraduate research assistant
Project egineering intern
Energy transition team.
- Simulation of Thermal power station
- Energy efficiency of Thermal power station
Undergraduate research assistant
Development of a limestone flue gas desulfurization (FGD) model
Recent Publications
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(2021).
Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach.
Energy and AI.
(2020).
Big data clustering model for the identification of a thermal power plant operating patterns.
18th Brazilian Congress of Thermal Sciences and Engineerin. ENCIT, 2020.
(2020).
Design of experiments applied on a 360 mw power plant in operation - surrogate modeling approach.
18th Brazilian Congress of Thermal Sciences and Engineerin. ENCIT, 2020.
(2020).
Response surface methodology for process parameter optimization of a coal pulverizer due to high moisture content - study case of PECEM.
18th Brazilian Congress of Thermal Sciences and Engineerin. ENCIT, 2020.
(2020).
Data-driven identification of operating patterns in a thermal power plant by clustering methods.
Iberian Latin-American Congress on Computational Methods in Engineering (41.: 2020: On-line). Proceedings [recurso eletrônico]. São Paulo: ABMEC, 2020..
(2020).
Plugin energy penalty model and gypsum production for flue gas desulfurization prediction.
Journal of the Brazilian Society of Mechanical Sciences and Engineering.
(2020).
Surrogate modeling approach to standardize a steam generator operation: a case study of the PECEM power plant.
Iberian Latin-American Congress on Computational Methods in Engineering (41.: 2020: On-line). Proceedings [recurso eletrônico]. São Paulo: ABMEC, 2020..
(2019).
A first approach to modelling a steam generator based on heat exchangers network method.
25th International Congress of Mechanical Engineering. COBEM, 2019.
(2018).
Energy penalty model for flue gas desulfurization systems.
17th Brazilian Congress of Thermal Sciences and Engineering, 2018.
(2017).
A first approach for the energy consumption of a limestone flue gas desulfurization (FGD) system.
30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2017.
(2017).
Proposta de um modelo computacional de dessulfurizador para gases de combustão de carvão.
V Congresso Brasileiro de Carvão Mineral, 2017.