Farzad Moeini

I am a Ph.D. student in the Department of Geosciences at the University of Cincinnati. My primary focus is on aquifer structure identification through the application of advanced computational tools, notably artificial intelligence and deep learning techniques. My objective is to develop computationally efficient subsurface models applicable to groundwater resource management, contaminant transport prediction, and optimization of geologic CO2 storage, all crucial for addressing pressing environmental and climate challenges.

Master of Science (M.Sc.): IFP School, Paris, France, 2015 (Reservoir Geoscience and Engineering)

Bachelor of Science (B.Sc.): Sharif University of Technology, Tehran, Iran, 2014 (School of Chemical and Petroleum Engineering)

Peer Reviewed Publications

Reza Ershadnia, Mrityunjay Singh, Saeed Mahmoodpour, Alireza Meyal, Farzad Moeini, Seyyed Abolfazl Hosseini, Daniel Murray Sturmer, Mojdeh Rasoulzadeh, Zhenxue Dai, Mohamad Reza Soltanian (2023. ) Impact of geological and operational conditions on underground hydrogen storage.International Journal of Hydrogen Energy, , 48 (4 ) , More Information

Pei Li, Corey D. Wallace, Jeffrey T. McGarr, Farzad Moeini, Zhenxue Dai, Mohamad Reza Soltanian (2023. ) Investigating key drivers of N2O emissions in heterogeneous riparian sediments: Reactive transport modeling and statistical analysis.Science of The Total Environment, , More Information

Masoomeh Rashidpoor Toochaei, Farzad Moeini (2023. ) Evaluating the performance of ensemble classifiers in stock returns prediction using effective features.Expert Systems with Applications, , 213 , More Information

Academic - 501 Geology-Physics Building
University of Cincinnati
Cincinnati  Ohio, 45221
moeinifd@mail.uc.edu