Current Ph.D. Students
Yining Huang, Ph.D. student, cosupervised with Prof. Hewei Tang
Training subsurface deep learning models.
Ryan McGuigan, Ph.D. student, cosupervised with Prof. John Foster
Uncertainty modeling robustness for optimum subsurface resource development.
Eldar Sharafutdinov, Ph.D. student, cosupervised with Prof. Arvind Ravikumar
Spatiotemporal, multiscale modeling of methane emmissions to support green house gas reductions.
Elnara Rustamzade, Ph.D. student, cosupervised with Prof. John Foster
Deep learning for enhanced subsurface mdoeling to support optimum decision making.
Misael Morales, Ph.D. student, cosupervised with Prof. Carlos Torres-Verdin
Deep learning for the integration of 4D seismic and fibre for enhanced subsurface resource modeling.
Nataly Chacon Buitrago, Ph.D. student
Improved subsurface heterogeneity modeling with rule-based and generative AI-based modeling.
Muhammad Muneeb Akmal, Ph.D. student, cosupervised with Prof. Kamy Sephernoori
Physics-informed machine learning for subsurface forecast proxy models.
Ahmed Merzoug, Ph.D. student
A critical evaluation of performance of generative AI for subsurface modeling.
Aun Al Ghaithi, Ph.D. student
Novel uncertainty modeling workflows to support optimum subsurface resource development.
Current M.Sc. Students
Laaiba Akmal, M.Sc. Student
Discrepancy machine learning models for the integration and discovery of physics for subsurface modeling.