Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Mersad Fathizadeh's research focuses on the application of geophysical methods for environmental characterization and restoration. He has investigated complex shallow landslide characterization using a multi-method geophysical approach and has integrated electrical resistivity tomography (ERT) with geotechnical investigations for river restoration projects, specifically studying dam removal sites. Fathizadeh also works on developing practical machine learning approaches for inverting surface wave data to predict soil layering.
His work contributes to understanding geological formations and their implications for environmental management. He has co-authored publications with collaborators including Clinton M. Wood, Mohammadyar Rahimi, Kevin M. Befus, and Graham G. Thompson, all from the University of Arkansas at Fayetteville. Fathizadeh's scholarship metrics include an h-index of 1, with 4 total publications and 11 total citations.
Metrics
- h-index: 1
- Publications: 6
- Citations: 11
Selected Publications
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A practical machine learning approach to predict soil layering for surface wave data inversion: Framework and case study (2026)
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HV_Pro (2026)
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Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization (2026)
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A Multi-method Geophysical Approach for Complex Shallow Landslide Characterization (2025)
Collaboration Network
Top Collaborators
- A Multi-method Geophysical Approach for Complex Shallow Landslide Characterization
- Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization
- A practical machine learning approach to predict soil layering for surface wave data inversion: Framework and case study
- A Multi-method Geophysical Approach for Complex Shallow Landslide Characterization
- Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization
- A practical machine learning approach to predict soil layering for surface wave data inversion: Framework and case study
- HV_Pro
- A practical machine learning approach to predict soil layering for surface wave data inversion: Framework and case study
- A Multi-method Geophysical Approach for Complex Shallow Landslide Characterization
- Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization
- Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization
- Integration of ERT and Geotechnical Investigation for River Restoration: A Case Study of Dam Removal Site Characterization
- HV_Pro
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