Research

Exploring the intersection of mechanics, materials, biomechanics, and machine learning.

Tibia stress fracture model

Biomechanics & Machine Learning

Stress Fracture Risk Prediction Tool

Investigating stress fractures in the tibia by combining imaging techniques, finite element analysis, and machine learning algorithms to develop a predictive tool for clinical applications.

Abaqus ScanIP Simpleware Python MATLAB
SHM delamination

Structural Health Monitoring & Machine Learning

Delamination Detection in Composite Structures

Predicting the location and size of subsurface defects in composites by integrating ultrasonic data with advanced finite element modeling and machine learning algorithms.

Ansys Python MATLAB