Research

Experimental and computational mechanics spanning material characterization, inverse identification, full-field measurement, and model validation.

My research starts with a mechanics question: how a material deforms, how its properties can be identified, or whether a model predicts what an experiment actually measures. Full-field imaging, finite element simulation, inverse methods, and machine learning are the tools I use to answer it.

01

Material Mechanics & Model Validation

2 research projects

02

Experimental Material Characterization

2 research projects

Experimental Material Characterization 2024–present

High-Strain-Rate Material Characterization

Cavitation experiments and full-field imaging reveal material response, instability, and damage under rapid, repeated loading.

High Strain RateCavitationSoft MaterialsHigh-Speed Imaging
Bubble-Radius-Fitting project demonstration 02
Experimental Material Characterization

Bubble-Radius-Fitting

Quantitative bubble-dynamics measurement from ultra-high-speed cavitation sequences with difficult optical backgrounds.

CavitationHigh-Speed ImagingSoft MaterialsDynamics

03

Full-Field Deformation Measurement

4 research projects

pyALDIC project demonstration 01
Full-Field Deformation Measurement 2026

pyALDIC

Adaptive, regularized DIC for measuring displacement and strain near complex geometry, discontinuities, and large deformation.

DICExperimental MechanicsFEMAdaptive Meshing
pyALDVC project demonstration 02
Full-Field Deformation Measurement 2026

pyALDVC

Volumetric deformation measurement that preserves steep gradients and discontinuities in noisy experimental scans.

DVC3D StrainMicro-CTModel Validation
pyALDIC-3D project demonstration 03
Full-Field Deformation Measurement 2026

pyALDIC-3D

Experimental 3D surface kinematics for specimens undergoing out-of-plane motion, large strain, and discontinuity.

Stereo DICSurface StrainCalibrationModel Validation
3D-Stereo-ALDIC project demonstration 04
Full-Field Deformation Measurement 2025

3D-Stereo-ALDIC

Full-field 3D deformation measurement for model validation on biological tissue and architected-material specimens.

Stereo DIC3D DeformationModel ValidationLarge Strain

04

Learning-Accelerated Metrology

3 research projects

RAFTcorr project demonstration 01
Learning-Accelerated Metrology 2026

RAFTcorr

Fast full-field displacement measurement with explicitly characterized accuracy, operating limits, and transfer to real experiments.

DICExperimental MechanicsDense MeasurementMachine Learning
Learning-Accelerated Metrology 2026

RAFT-DVC

Fast volumetric displacement measurement with resolution-specific operating ranges and benchmarked physical limits.

DVCVolumetric MeasurementResolutionMachine Learning
DIC-ROI-Mask-Generator project demonstration 03
Learning-Accelerated Metrology 2026

DIC-ROI-Mask-Generator

Spatial adaptation that keeps full-field strain measurement inside valid material regions near complex boundaries.

DICStrain MeasurementAdaptive MeshingMachine Learning