April 2026

Seeking undergraduate researchers

The SPIN (Sensing, Physics-informed Intelligence, and Nondestructive Evaluation) Group is looking for motivated students to join ongoing projects in defect modeling with SolidWorks, multiphysics simulations in COMSOL and ANSYS, and development of machine learning models for engineering applications. Candidates interested in ML projects are expected to have prior experience with Python programming.

Student Interest Form →

March 2026

OTST 2026 abstract submitted

Weakly supervised GFRP damage localization using terahertz imaging, achieving 99% classification accuracy and 0.67 mAP.

September 2025

Paper published in Composites Part B: Engineering

Automated classification of subsurface impact damage in thermoplastic composites using depth-resolved terahertz imaging and deep learning.

Read the paper →

In preparation

X-ray damage detection manuscript in preparation

Two-stage pipeline using ResNet-18 classification and YOLOv8 with Grad-CAM pseudo-labels for automated damage localization in composite structures.