Parisa Shokouhi
flowchart A[Parisa Shokouhi] AC["Associated Concepts (25)"] AW["Authored Works (9)"] CA["Linked Co-Authors (4)"] CI["Linked Collaborating Institutions (4)"] A== dcterms:relation ==>AC AW== author ==>A AW== author ==>CA AW== affil ==>CI click AC "#associated-concepts" click AW "#authored-works" click CA "#co-authors" click CI "#collaborating-institutions" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0003-3806-0597
- OpenAlex ID
- https://openalex.org/A5057413558 (API record)
Associated Concepts [?]
- Physics
- Engineering
- Quantum mechanics
- Materials science
- Composite material
- Geology
- Computer science
- Medicine
- Acoustics
- Optics
- Mathematics
- Thermodynamics
- Radiology
- Structural engineering
- Biology
- Artificial intelligence
- Geotechnical engineering
- Nondestructive testing
- Chemistry
- Statistics
- Nonlinear system
- Philosophy
- Electrical engineering
- Telecommunications
- Paleontology
Authored Works
sorted by decreasing year, and then by display-name
- Illuminating Fundamental Processes Governing Evolution of Fault Zone Permeability and Elastodynamic Properties due to Dynamic Stressing using a Coupled X-Ray Imaging and Active Ultrasonic Experiment
- Decoupling the poromechanics of particle remobilization and interface stiffness of dynamically stressed tensile fractured rock
- An Integrated Experimental and Multi-Physics Numerical Study on the Interplay Between Hydraulic and Elastic Properties of Fractured Rock Interfaces Under Stress Perturbations
- A Physics-informed Machine Learning (PIML) Model for Lab Earthquake Prediction using Time-lapse Active Source Ultrasonic Data
- Understanding the Seismic Response to Varying CO2 Saturation through Concurrent Ultrasonic Monitoring and X-ray CT Imaging in Laboratory-scale Flow Experiments
- The Effect of Moisture Adsorption on the Nonlinear Elastic Response of Granular Media
- Shear Failure Prediction Using a Physics-guided Deep Learning Framework
- Relating Fracture Aperture to Hydraulic and Elastodynamic Properties of Dynamically-stressed Under True-triaxial Stress Conditions
- Comparison of Supervised Machine Learning Image Segmentation Algorithms for Petrophysical Characterization of a Saturated Porous Medium
Linked Co-Authors
Linked Collaborating Institutions
- Cornell University, New York
- Pennsylvania State University
- University of South Florida
- University of Texas, Austin
Add Incoming Edge
Login via ORCiD to contribute.
Add Outgoing Edge
Login via ORCiD to contribute.