A running record of research, open-source releases, talks, and professional milestones.
Preprint posted: RAFT-DVC: Resolution-Aware Machine Learning-Based Digital Volume Correlation — arXiv:2609.01876. Reference implementation and the three trained solvers are on GitHub.
Preprint posted: pyALDIC: A Python Implementation of Augmented Lagrangian Digital Image Correlation with a GUI, Adaptive Meshing, and Mask-Aware Subset Splitting — arXiv:2607.22755. The package is on PyPI as
al-dic. Will present RAFTcorr: An Open-Source, Deep Learning DIC Framework for Dense Displacement Measurement at SEM Annual 2026 in Norfolk, VA.
First-author preprint posted: Digital Volume Correlation Challenge 2.0: A Comprehensive Dataset for Digital Volume Correlation Benchmarking — a community benchmark spanning confocal/multiphoton microscopy, X-ray CT, neutron tomography and synthetic volumes. The full dataset is openly available through the NIST Public Data Repository.
Started a summer R&D internship at Tokyo Electron (TEL) in Austin, TX, building FE-based machine-learning surrogate models for advanced packaging.
Honored to contribute to the iDICs Good Practices Guide (Edition 2). Thank you to the entire GPG team and especially my advisor, Prof. Jin Yang, for the guidance and opportunity.
Our paper Machine Learning-Aided Spatial Adaptation for Improved DIC Analysis of Complex Geometries has been published in Strain.
Shared research experiences at a panel discussion at the Texas Material Scientists and Engineers (TMSE) meeting with Dylan Baird.
Presented RAFTcorr at iDICs 2025 in Alexandria, VA.
Our paper 3D Stereo Adaptive Mesh Augmented Lagrangian Digital Image Correlation has been published in Experimental Mechanics.
Presented Repetitive Laser-Induced Cavitation Dynamics and Damage at Soft Matter Interfaces at IMAC-XLIII 2025 in Orlando, FL.
Presented Exploring the rate-dependent mechanical behavior of liquid-filled metamaterials across length scales at the 2024 SEM Annual Conference in Vancouver, WA.
Presented Exploring the Interplay of Alveolar Mechanics and Fluid Accumulation in Pulmonary Edema at the 2024 Southern SEM Student Symposium in Baton Rouge, LA.
Presented SpatioTemporally Adaptive Quadtree Mesh (STAQ) Digital Image Correlation at the 2024 Graduate and Industry Networking Event in Austin, TX.
Our paper Refraction Error Analysis in Stereo Vision for System Parameters Optimization has been published in Measurement.
Started my Ph.D. in Engineering Mechanics at The University of Texas at Austin, joining the Yang Research Group.
Joined Orbbec Inc. in Shenzhen as a Computer Vision Engineer Intern, building Python/C++ calibration and validation tooling for production 3D camera hardware.