Dr. Zhang is the founder and principal investigator (PI) for GeoResourceCloud Research Group at University of Alberta. Over the last three years, Dr. Zhang has been awarded over 1 million Canadian dollar research grants and published over 20 journals on GeoResource releated research.

Her research focuses on developing and implementing machine learning (ML) and artificial intelligence (AI) algorithms to estimate spatially correlated mineral grades and solve other mining problems with a specialization in Human-in-the-Loop (HITL) processes for more accurate spatial estimation.

As a PhD student majoring in civil engineering, she has a background in geotechnical engineering, rock mechanics, and rock dynamics and research interests revolve around developing simulations of subsurface energy developments through the coupling DEM-FEM methods.

As a highly enthusiastic and motivated PhD student, he has worked as a Researcher at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia, for a period of five years (2018 to 2023) prior to joining UofA in January 2023. He mainly focus on research in the area of Reservoir Geomechanics.

As a PhD Student, his research interests include modeling and simulation of transport phenomena in porous media. He is currently working on uncertainty quantification in subsurface CO2 storage, and value of information framework that are essential to large-scale CCUS decision-making.

As a PhD student, his research focus reservoir modeling and characterization, reservoir geomechanics, hydraulic fracturing and quantifying the geomechanical and geological uncertainties in Carbon storage simulation models by developing innovative data-driven models and data assimilation workflows.

As a PhD student, her research focuses on investigating the hydro-geomechanical characterization and permeability evolution of Inclined Heterolithic Stratification (IHS) in McMurry formation. This study aims to provide essential parameters for reservoir system simulations and enhance the efficiency.

As a PhD Student, she has completed her Bachelor's from Presidency University, India, in 2016 and her first Master's from IIT (ISM) Dhanbad, India, in 2019, both in Applied Geology. She worked at Schlumberger as a petrophysicist for the North American team and received her second Master's from IPGP.

As a MSc student major in Civil Engineering specified in Geotechnical Engineering, her work focuses on the Coupled Flow-Geomechanics Upscaling techniques of predicting the soil strength parameters of the heterogeneous McMurray formation (Oil Sands) with the Convolutional Neural Network (CNN).

As a Master's student, his research focus on Geostatistical Modeling considering High-Resolution Stratigraphic Models. In 2023, along with his supervisor and co-supervisor, Dr. Zhang Bo, he published a Lesson titled "Categorical Variable Distributions in Geostatistics" on GeostatisticsLessons.com.

As a research assistant, he is responsible for: 1) the implementation of data science in subsurface energy development Including CO2 THMC coupled flow migration with a focus in building proxy model by Deep Learning methods and 2) development of related software and frontend.

His research focuses on the geomechanical properties and fracture propagation mechanisms of thin interbeds in coal measure strata. He is proficient in grid nanoindentation tests, SEM-EDS techniques, conventional geomechanical tests, and the finite-discrete element combined method (FDEM).

As a visiting PhD student at the University of Alberta from China University of Petroleum (East China), He is focusing on the exploration of deep high-temperature geothermal resources including the optimization of exploration techniques and innovation of exploitation methods.

As a visiting PhD student from China University of Petroleum(East China), her research focus the combination of water-rock reaction software (Tough react) and geological modeling software (Petrel) to explore the potential of sandstone gas reservoirs for geological storage or enhanced gas recovery.

As a visiting PhD student from China University of Petroleum. His research interests covers 1) Hydraulic fracturing of unconventional reservoirs, 2) Micromechanical characterization of unconventional reservoirs, 3) Numerical Simulation of fracture propagation by FEM/DEM/FDEM.

As a dual degree student (B.Tech + M.Tech) at the Indian Institute of Technology and intern researcher at University of Alberta, her research focus on inverse modeling of CO2 plume dynamics to predict subsurface permeability and the application of machine learning in energy systems.

As a Mitacs summer intern, Yicheng Pan came as one of the top students in Tsinghua University, which has brought him a solid mathematical and scientific foundation. Pan has demonstrated a strong academic performance and a keen interest in the realm of energy policy.

As a Intern Researcher, she completed her second year of undergraduate studies in Computer Software Engineering Cooperative Program and had the incredible learning opportunity to work on the CCUS web application platform alongside PhD and Postdoc students within the group as a DRA student.