Current Ph.D. Students
Dursun Dashdamirov, PH.D. student
Resource data analytics, geostatistics and machine learning.
Suin Choi, Ph.D. Student
Explainable subsurface modeling with physics and machine learning.
Qianqian Zhou, Ph.D. Student
3D subsurface deep learning surrogate models.
Dinghan Wang, Ph.D. student, cosupervised with Prof. John Foster and Prof. Yingda Lu
Robust unconventional resource spatial data analytics, geostatistics and machine learning workflows.
Maria Gonzalez, Ph.D. Student
Automated, semi-automatic formation evaluation with deep learning.
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.
Muhammad Muneeb Akmal, Ph.D. student, cosupervised with Prof. Kamy Sephernoori
Physics-informed machine learning for subsurface forecast proxy models.
Aun Al Ghaithi, Ph.D. student
Novel uncertainty modeling workflows to support optimum subsurface resource development.
Nataly Chacon Buitrago, Ph.D. student
Improved subsurface heterogeneity modeling with rule-based and generative AI-based modeling.
Ahmed Merzoug, Ph.D. student
A critical evaluation of performance of generative AI for subsurface modeling.
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.
Current M.Sc. Students
Alexander Ifenaike, M.Sc. Student
Spatial Data Analytics and Machine Learning for Subsurface Resource Modeling