Parisa Shokouhi
Applied AI
- Machine learning from acoustic data
- Data fusion
- Physics-informed deep learning
Current AI-related Projects
- Project/Proposal Title: A wave physics-informed deep learning framework for acoustic data
Source of Support: College of Engineering, Penn State - Project/Proposal Title: Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties
Source of Support: Department of Energy - Project/Proposal Title: Rapid Forecasting of CO2 Flow by Machine Learning
Source of Support: U.S. Department of Energy, NETL (Leidos, Inc.) - Project/Proposal Title: Evaluation of Potential Technology Pathway to Image Rock Properties
Source of Support: U.S. Department of Energy, NETL (Leidos, Inc.)

Parisa Shokouhi
Associate Professor of Engineering Science and Mechanics