Biography and Research Information
OverviewAI-generated summary
Ryan Socha's research focuses on the application of machine learning techniques to synthetic aperture radar (SAR) automatic target recognition (ATR). His work investigates methods for improving the efficacy of SAR ATR systems, including exploring the value of phase information and utilizing graph pretraining with synthetic data. Socha has published two papers in this area, with his most recent publication in 2025. He has collaborated with Susan Gauch and Caleb Parks at the University of Arkansas at Fayetteville on these projects, with two shared publications with each collaborator. His scholarly output includes an h-index of 1 and two total citations.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
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Assessing the value of phase to deep SAR ATR via noninferiority testing (2025)
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Graph pretraining approach to utilize synthetic data for SAR ATR (2024)
Collaboration Network
Top Collaborators
Caleb Parks
University of Arkansas at Fayetteville
2 shared publications
In database
- Graph pretraining approach to utilize synthetic data for SAR ATR
- Assessing the value of phase to deep SAR ATR via noninferiority testing
Susan Gauch
University of Arkansas at Fayetteville
2 shared publications
In database
- Graph pretraining approach to utilize synthetic data for SAR ATR
- Assessing the value of phase to deep SAR ATR via noninferiority testing
Matthew Scherreik
United States Air Force Research Laboratory (US)
2 shared publications
- Graph pretraining approach to utilize synthetic data for SAR ATR
- Assessing the value of phase to deep SAR ATR via noninferiority testing
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