X. Huang
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
X. Huang's research focuses on developing computational models for assessing resilience to natural disasters. This work includes the integration of nonlinear effects and spatial heterogeneity into models for understanding program usage, as demonstrated in a 2026 publication concerning reduced-fare programs. Huang is also the Principal Investigator on an NSF I-Corps grant for $50,000, which supports research into scalable artificial intelligence-supported flood resilience assessment.
Metrics
- h-index: 1
- Publications: 2
- Citations: 5
Selected Publications
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A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage (2026)
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Event-driven electrothermal modeling of mixed-signal circuits (2002)
Federal Grants 1 $50,000 total
I-Corps: Scalable Artificial Intelligence-Supported Flood Resilience Assessment
Collaboration Network
Top Collaborators
- A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage
- A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage
- A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage
- A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage
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