Students and advisees

Project status:

• ➠ : ongoing
• ✔ : finished

Post-doctoral researchers

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Valdecir Alves dos Santos Junior, Mech. Engg. Program ➠

• Title: Finite Element Simulation of Supercritical Flows in Porous Media for the Analysis of Trapping Mechanisms and Geological CO₂ Storage
• Start: 2024
• End:
• Funding: CNPq
• Details: Collaborator under the CO2SS Project, funded by CNPq
• LinkedIn

Yago Ryan Pinheiro dos Santos, Mech. Engg. Program ➠

• Title: Experimental Study of CO2 Precipitaion and Pre-mineralization in Syntethic Rocks
• Start: 2024
• End:
• Funding: CNPq
• Details: Collaborator under the CO2SS Project, funded by CNPq
• LinkedIn

D.Sc. Theses

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Camilo Gustavo Araújo Alves, Mech. Engg. ✔

• Title: Computational Modeling of Disinfection Arrangements for Indoor Air Quality Improvement in Hospital Environments
• Start: 2020
• Defense date: 6 dec 2024
• Funding: None
• Details: Collaborator under the H-CFD Brazil Project, funded by FAPESQ-PB
• LinkedIn

José Wilker Lima da Silva, Mech. Engg. ✔

• Title: Generalized functionals for qualification of geological carbon storage injection sites
• Start: 2020
• Defense date: 10 jul 2024
• Funding: None
• Details: Collaborator under the CO2SS Project, funded by CNPq
• LinkedIn

Rafael Marrocos Magalhães, Mech. Engg. ✔

• Title: Application of Deep Learning Techniques as Proxy Models in Oil and Gas Reservoir Engineering
• Start: 2022
• Defense date:
• Funding: Petrobras (partial)
• Details: Co-advisory
• LinkedIn

M.Sc. Dissertations

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Diogo de Mattos Torres e Rodrigues, Mech. Engg. ➠

• Title: Techno-economic assessment of customizable CO2 compression units for industrial CCU systems
• Start: 2025
• Defense date:
• Funding: CNPq
• Details: None
• LinkedIn

Thiago Ney Evaristo Rodrigues, Informatics ➠

• Title: Prediction of drag coefficients in base-bleed military projectiles through machine learning algorithms
• Start: 2024
• Defense date:
• Funding: CAPES / Pró-Defesa V Program
• Details: partnership with institutions and the Brazilian Navy and Army
• LinkedIn

Feliphe de Sousa Macedo Ferreira, Informatics ➠

• Title: Conceptual model for carbon market metadata exchange
• Start: 2024
• Defense date:
• Funding: None
• Details: None
• LinkedIn

Lucas Cavalcanti Silva, Mech. Engg. ➠

• Title: Economic viability of transitional subsea concept engineering
• Start: 2023
• Defense date:
• Funding: MAI/CNPq
• Details: partnership with Deep Seed Solutions
• LinkedIn

Beatriz Rodrigues de Almeida, Mech. Engg. ➠

• Title: Hybrid modeling for identification and deployment of CCUS industrial clusters and hubs in the Brazilian context
• Start: 2023
• Defense date: 25 jul 2025 (scheduled)
• Funding: MAI/CNPq
• Details: partnership with WayCarbon Soluções em Carbono
• LinkedIn

B.Sc. Undergraduate Capstone Projects

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Jansen Cruz dos Santos, Data Science and Artificial Intelligence ✔

• Title: Triagem de Clusters e Hubs Industriais de CCUS no Nordeste Brasileiro por Análise de Dados Geoespaciais
• Capstone year: 2025
• Defense date: 19 may 2025
• LinkedIn

Luiz Fernando Costa dos Santos, Data Science and Artificial Intelligence ✔

• Title: PUMLE: A Framework for Data-Driven Applications in Underground Carbon Sequestration Ventures
• Capstone year: 2025
• Defense date: 8 may 2025
• LinkedIn

Silas Aguiar Melo, Computational Mathematics ✔

• Title: Finite element analysis of standoff effects on flusher flows in primary well cementing*
• Capstone year: 2022
• Defense date: 20 jun 2022
• LinkedIn

B.Sc. Education, Research and Outreach Programs

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José Augusto da Silva Barbosa, Data Science and Artificial Intelligence ➠

• Subsea Energy Transition, 2024.
• Funding: CNPq
• LinkedIn

Vinícius Vieri Bezerra de Lima, Data Science and Artificial Intelligence ✔

• Data-Driven Analysis of the Thermo-Hydraulic Performance of Heat Exchangers Combined with Pumping Stations, 2025.
• Funding: CNPq
• LinkedIn

Tales Nobre, Data Science and Artificial Intelligence ✔

• Best Practices in Data Visualization, 2025.
• Funding: UFPB
• LinkedIn

Gabrielly Silva Batista, Data Science and Artificial Intelligence ✔

• Best Practices in Data Visualization, 2024.
• Funding: UFPB
• LinkedIn

Adriel Ferreira Trajano, Data Science and Artificial Intelligence ✔

• Detection of Clusters and Hubs of CSS in Brazil: FOCCUS Project, 2023.
• Funding: CNPq
• LinkedIn

Davi Nasiasene Amorim, Data Science and Artificial Intelligence ✔

• Detection of Clusters and Hubs of CSS in Brazil: FOCCUS Project, 2023.
• Funding: CNPq
• LinkedIn

Erlon Lacerda, Data Science and Artificial Intelligence ✔

• Detection of Clusters and Hubs of CSS in Brazil: FOCCUS Project, 2023.
• LinkedIn

Jaislan dos Santos Silva, Materials Engg. ✔

• CAD modeling and mesh generation for fluid flow problems in hospital environments, 2023 - 2024.
• Funding: CNPq
• LinkedIn

Guilherme Huther Baldo, Computer Science ✔

• ODEX: Paraíba State Foreign Trade BI Platform, 2022.
• Funding: UFPB
• LinkedIn

Yhasmim de Souza Tigre, Data Science and Artificial Intelligence ✔

• Data science applied to reservoir qualification for CO2 storage (continued), 2022.
• Funding: CNPq
• LinkedIn

Mateus Metzker Tosta, Computer Science ✔

• APyCE Project: A Python-based CMG Builder®/Schlumberger Eclipse® wrapper for 3D visualization of reservoir grids, 2020.
• Funding: CNPq
• LinkedIn

Thiago Ney Evaristo Rodrigues, Mech Engg. ✔

• Assessment of Rock Typing Methods for Discrete Modeling of Petroleum Reservoirs, 2019.
• Funding: UFPB
• LinkedIn

Marcos Ramon Bezerra dos Santos, Mech Engg. ✔

• Strategic Placement of Oil Wells in Hydraulic Flow Units and Multiphase Flow Simulations, 2019.
• Funding: ABCM
• LinkedIn

Samuel Moreira Lustoza Rodrigues, Civil Engg. ✔

• Mathematical Models for Well Layout Optimization under Stress Effects, 2017.
• LinkedIn

João Luiz Padilha de Aguiar, Civil Engg. ✔

• Computer Modeling for Production Zone Placement in Reservoirs, 2017.
• Funding: UFPB
• LinkedIn

Lucas Cavalcanti Silva, Mech. Engg. ✔

• Reservoir Simulation with MRST Toolbox, 2017
• Funding: UFPB and Petrobras
• LinkedIn

B.Sc. Internships

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Academic

Gustavo Soares Felix Lima, International Relations ✔

• Data-driven internationalization: analysis of UFPB’s indicators, 2022.
• LinkedIn

Nonacademic

Mariana da Silva Martins, Data Science and Artificial Intelligence ➠

• BI and Data Engineering Intern at Energisa, 2025.
• LinkedIn

Yhasmim de Souza Tigre, Data Science and Artificial Intelligence ➠

• Data Analysis Intern at the Federal Court of Accounts, 2024.
• LinkedIn

Bruno Formiga Brandão, Computer Science ✔

• Facil Corp. Information Technology and Solutions partnership, 2023.
• LinkedIn

Wesley Ribeiro Farias de Araújo, Computer Science ✔

• Graphics Industry partnership, 2022.

Vladimir Yuri Farias de Lima Cavalcanti, Data Science and Artificial Intelligence ✔

• Paraíba State Auditors Court partnership, 2022.
• LinkedIn