• 👋🏻 Hi, I'm Gabriel!
• 🇧🇷 I'm a Brazilian Data Scientist and Machine Learning Engineer
• 🎓 I hold a D.Sc. in Civil Engineering focused on the application of Scientific Machine Learning in Computational Science and Engineering problems. You can check my D.Sc. thesis here and my M.Sc. thesis here. You can also find them at the Civil Engineering Program at COPPE website
• 🧠 I’m experienced in industrial tabular data ML modeling, data visualization and snapshots-based SciML models.
• 🌱 I’m currently learning Large Language Models, Natural Language Processing and Neural Operators.

If you want to get to know my work, make sure to check these repositories:

• 🌊 SnapFlow
• 🔢 Tabular Data ML Portfolio
• 🌎 Computational Science and Engineering

• 2024 ABMEC Award for the Best Doctoral Thesis of the Year at the XLV Ibero-Latin American Congress on Computational Methods in Engineering. Also on COPPE/UFRJ

• 2021 Arts and Science Contest on the World Congress of Computational Mechanics 2020 and ECCOMAS.

• Selected as a Student Volunteer at SuperComputing 2021 - SC21) remotely.

• Selected to participate at the ACM Summer School - HPC Architectures for AI and Dedicated Applications in Barcelona, Spain.

• Selected as a Student Volunteer at SuperComputing 2019 - SC19 in Denver, USA.

• Advances in data-driven reduced order models using two-stage dimension reduction for coupled viscous flow and transport R.M. Velho, A.M.A. Côrtes, G.F. Barros, F.A. Rochinha, A.L.G.A. Coutinho Finite Elements in Analysis and Design, 248, 104355.

• Community-aware recommender system for personalized patient–physician matchmaking on bipartite graphs G. Zuin, G. Lima, G.F. Barros, N. Vançan, A.P. Macedo, H. Lomeu, F. Biscione Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1), 21.

• Improving accuracy of parametric surrogate model for turbidity currents using diffusion-based super-resolution A. Côrtes, R.F. de Sousa, R.M. Velho, G.F. Barros, F.A. Rochinha, A.L.G.A. Coutinho Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE).

• Ablation study of a non-intrusive data-driven surrogate model for the Rayleigh–Bénard convection problem A. Côrtes, R.M. Velho, G.F. Barros, F.A. Rochinha, A.L.G.A. Coutinho Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE).

• Piecewise Dynamic Mode Decomposition of Fluid Flow Simulations M.B. Seidel, A.L.G.D.A. Coutinho, M.S. Pfeil, R.N. Elias, G.F. Barros Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE).

• Enhancing dynamic mode decomposition workflow with in situ visualization and data compression G.F. Barros, M. Grave, J.J. Camata, A.L.G.A. Coutinho Engineering with Computers, 40(1), 455–476.

• Combining high-performance computing with machine learning to model turbidity currents F. Rochinha, A. Côrtes, R. Velho, A. Coutinho, G. Guerra, R. Elias, J. Camata, G.F. Barros AGU Fall Meeting Abstracts, H17-08.

• A Modified Louvain Approach for Medical Community Detection using Geographic Data G. Zuin, H. Lomeu, G. Barros, M. Barbosa, G. Lima, N. Vançan, F. Biscione 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).

• An Ensemble Approach for Inconsistency Detection in Medical Bills: A Case Study G. Zuin, L. Parreiras, L. Melo, G. Barros, H. Lomeu, B. Melo, W. Marini, D. Lott 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).

• Contributions to the Application of Snapshot-based Data-Driven Methods in Computational Science and Engineering G.F. Barros Doctorate Thesis, Universidade Federal do Rio de Janeiro.

• Data-Driven Simulation of Fisher–Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition A. Viguerie, M. Grave, G.F. Barros, G. Lorenzo, A. Reali, A.L.G.A. Coutinho Journal of Biomechanical Engineering, 144(12), 121001.

• Modeling nonlocal behavior in epidemics via a reaction–diffusion system incorporating population movement along a network M. Grave, A. Viguerie, G.F. Barros, A. Reali, R.F.S. Andrade, A.L.G.A. Coutinho Computer Methods in Applied Mechanics and Engineering, 401, 115541.

• Dynamic mode decomposition in adaptive mesh refinement and coarsening simulations G.F. Barros, M. Grave, A. Viguerie, A. Reali, A.L.G.A. Coutinho Engineering with Computers, 38(5), 4241–4268.

• Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems A. Viguerie, G.F. Barros, M. Grave, A. Reali, A.L.G.A. Coutinho Computer Methods in Applied Mechanics and Engineering, 391, 114600.

• Assessing the spatio-temporal spread of COVID-19 via compartmental models with diffusion in Italy, USA, and Brazil M. Grave, A. Viguerie, G.F. Barros, A. Reali, A.L.G.A. Coutinho Archives of Computational Methods in Engineering, 28, 4205–4223.

• Finite element solution of nonlocal Cahn–Hilliard equations with feedback control time step size adaptivity G.F. Barros, A.M.A. Cortes, A.L.G.A. Coutinho International Journal for Numerical Methods in Engineering, 122(18), 5028–5052.

• Parallel Solution of 3D Ohta-Kawasaki Nonlocal Phase Field Model in FEniCS G.F. Barros, A.M.A. Cortes, A.L.G.A. Coutinho XLII Ibero-Latin American Congress on Computational Methods in Engineering.

• Dynamic mode decomposition for density-driven gravity current simulations G.F. Barros, A.M.A. Côrtes, A.L.G.A. Coutinho XLI Ibero-Latin American Congress on Computational Methods in Engineering, 2(02).

• A space-time adaptivity scheme for the Cahn–Hilliard equation G.F. Barros Master's Thesis, Universidade Federal do Rio de Janeiro.

Modelagem computacional do fenômeno de lock-in em um cilindro em vibração livre G.F. Barros, P.H. Hallak Revista Interdisciplinar de Pesquisa em Engenharia, 2(25), 87–94.