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.)