- 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.