2026–2029Ongoing
Optimal Transport Routes for Oil and Gas
Participation in a Petrobras–UFMG partnership to optimize transport routes for oil and gas.
Participants: Gabriel Coutinho
R&DPetrobras · UFMG
Projects and Grants
R&D
2026–2029Ongoing
PetroCycle 3 and Reservoir Zoning
Development of the third version of PetroCycle and advanced algorithms for reservoir zoning in a Petrobras–UFMG partnership led by Gabriel Coutinho.
Participants: Gabriel Coutinho, Danilo Vomlel
R&DPetrobras · UFMG
2025–2026Ongoing
Artificial Intelligence in the Context of Graphs
Graph mining and large-scale network analysis for the Public Prosecutor’s Office of Minas Gerais.
Participants: Gabriel Coutinho, Danilo Vomlel, Gabriel Vieira, Gustavo Mattos
R&DMPMG · UFMG
2025–2026Ongoing
Intelligent System for Temperature Prediction in Ovens (SIPTV)
Machine learning models for predicting and controlling the temperature of industrial ovens.
Participants: Gabriel Coutinho, Danilo Vomlel
R&DSinobras (Grupo Aço Cearense) · UFMG
2025–2026Ongoing
Quantum Paradigms and Potential Applications to the Financial Market
Research on quantum computing and communication for complex problems in finance.
Participants: Gabriel Coutinho, Leonardo Esteves, Pedro Baptista, Henrique Assumpção, Thiago Assis, Júlia Guedes, Laila Vaz
R&DInter · UFMG
2023–2028Ongoing
Machine Learning Course for Petrobras (CIAG)
Training Petrobras staff in deep learning and artificial intelligence applied to geosciences.
Participants: Gabriel Coutinho, Danilo Vomlel
CoursePetrobras · UFMG
2021Ongoing
Analytical Capabilities Programme — MPMG
Data processing and analytical tools for the Public Prosecutor’s Office of Minas Gerais.
Participants: Gabriel Coutinho, Danilo Vomlel, Gabriel Vieira, Gustavo Mattos
R&DMPMG · UFMG
2026Completed
Samarco Residency
Gabriel Coutinho, Danilo Vomlel, and Kaio Masse advised a mining planning problem in the Samarco residency.
Advisors: Gabriel Coutinho, Danilo Vomlel, Kaio Masse
CourseSamarco · UFMG
2021–2025Completed
Artificial Intelligence Applied to Oil Exploration in the Pre-Salt Layer
Machine learning for pre-salt reservoir characterization, including cyclostratigraphic analysis and the development of PetroCycle.
Participants: Gabriel Coutinho, Thomás Jung Spier, Danilo Vomlel, Frederico Cançado, Pedro Baptista, Gabriel Vieira, Gustavo Mattos
R&DPetrobras · UFMG
2021–2022Completed
Software Development Training 2021
Training Samsung employees in algorithm design and implementation.
Participants: Gabriel Coutinho
CourseSamsung R&D Institute Brazil (SRBR) · UFMG
2019Completed
Data Science Residency
Training UFMG students in data science through problems proposed by Tenbu.
Participants: Gabriel Coutinho
CourseTenbu · UFMG
2019–2020Completed
Machine Learning System for Predictive Maintenance
Machine learning for predictive maintenance of industrial bag filters to reduce particulate emissions.
Participants: Gabriel Coutinho
R&DMinasligas + Coss · UFMG
Research Grants
2025–2027Ongoing
Algebraic Combinatorics and Semidefinite Optimization: Interfaces and Applications to Quantum Computing
Support for PhD research visits to Waterloo on algebraic combinatorics, semidefinite optimization, and quantum computing.
Participants: Gabriel Coutinho; Students
ScholarshipCNPq · UFMG
2025Ongoing
Geometric Methods for Graph Coloring and Partitioning
Geometric and semidefinite methods for graph coloring and partitioning, with applications to quantum information.
Participants: Gabriel Coutinho; Students
Research GrantFAPEMIG · UFMG
2025–2026Ongoing
Spectral and extremal graph theory: algorithmic approaches and quantum applications
Google PhD Fellowship supporting Emanuel Juliano’s research on spectral and extremal graph theory and quantum applications.
Participants: Emanuel Juliano; Students
PhD FellowshipGoogle PhD Fellowship to Emanuel Juliano
2023–2026Ongoing
Graph Spectrum and Quantum Models of Clustering
Collaboration with Aida Abiad on spectral methods for graph clustering, supporting a postdoctoral position and research exchanges.
Participants: Gabriel Coutinho, Aida Abiad, Krystal Guo, Paula Fialho; Students
Research GrantFAPEMIG · UFMG
2023–2026Ongoing
Graphs’ Spectrum, Quantum Information, and Conic Optimization
Research on graph spectra, quantum information, and conic optimization.
Participants: Gabriel Coutinho; Students
ScholarshipCNPq · Gabriel Coutinho
2023Ongoing
Industrial Applications of Quantum Computing
Development of quantum algorithms and software for computational problems arising in Brazilian industry.
Participants: Gabriel Coutinho; Students
Research GrantCNPq · UFMG · LNCC · others
2019Ongoing
Graphs, Matrices, and Quantum Computing
Spectral graph theory and semidefinite optimization for quantum walks and quantum algorithms.
Participants: Gabriel Coutinho; Students
Research GrantFAPEMIG · UFMG
2022–2025Completed
Deep Learning of Geological Surfaces for Offshore Reservoir Prospecting
Deep learning models combining well logs and seismic data for offshore reservoir characterization.
Participants: Gabriel Coutinho; Students
Research GrantCNPq · UFMG
2017–2019Completed
Graphs, Matrices, and Quantum Computing — UFMG Scholarship
Spectral methods for designing graph-based quantum systems with prescribed state-transfer behaviour.
Participants: Gabriel Coutinho; Students
ScholarshipUFMG
2016–2020Completed
Quantum Walks in Graphs
Spectral and combinatorial methods for quantum walks, from algorithmic questions to the mathematical structure of quantum information.
Participants: Chris Godsil, Gabriel Coutinho; Ada Chan; Christino Tamon; H. Zhan; Students
Research ProjectUFMG
2016–2020Completed
Semidefinite Programming and Algebraic Graph Theory
A collaboration combining semidefinite programming and algebraic graph theory to study optimization problems on graphs.
Participants: Gabriel Coutinho, Marcel K. de Carli Silva; Students
Research ProjectUSP
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