Sensing · Physics-Informed Intelligence · Nondestructive Evaluation
SPIN Group
We develop physics-informed AI systems that see what the human eye cannot, detecting hidden damage in critical structures through advanced sensing, signal processing, and machine learning.
Research Focus
Physics-Based Sensing
Terahertz imaging, electromagnetic methods, and multi-modal data acquisition for subsurface characterization.
AI for Inverse Problems
Deep learning architectures trained on physics-informed features to localize and quantify material degradation.
Intelligent Inspection Systems
End-to-end pipelines from raw sensor data to automated damage assessment, bridging lab research and field deployment.
Where Our Research Applies
Aerospace
Composite airframes, panels, and structural components
Civil Infrastructure
Bridges, concrete structures, and aging assets
Wind Energy
Turbine blade integrity and field inspection
Automotive & EV
Lightweight composites and assembly quality
Marine & Offshore
Hulls, platforms, and harsh-environment structures
Energy & Pipelines
Pipeline walls, welds, and pressure components
Join the Team
We welcome motivated graduate and undergraduate students who want to gain hands-on research experience as volunteer members of the group. Our work spans terahertz, ultrasonic, X-ray, and electromagnetic modalities, with projects in defect modeling, multiphysics simulation, and machine learning for nondestructive evaluation. We also welcome conversations with academic collaborators and industry partners. Reach out to start a conversation.