JinYang
- jin.yang@austin.utexas.edu
- 512-471-1486
- ASE 5.236
Machine learning and data-driven material characterization; Full-field deformation measurements; Laser-induced inertial cavitation in hydrogels and biological materials; Dynamic instability in viscoelastic materials
About
Jin Yang joined the department as an assistant professor in Fall 2022. He received his doctorate from the California Institute of Technology, where he developed fast, accurate, adaptive-mesh augmented Lagrangian digital image/volume correlation (ALDIC/ALDVC) methods to measure 2D/3D full-field deformations quantitatively. After his graduate studies, he was a postdoctoral research associate at the University of Wisconsin-Madison, where his research focused on developing a micro-cavitation-based rheometry method to characterize viscoelastic properties of soft gel-like materials at ultra-high strain rates ( 10^3 s^-1) by utilizing laser-induced cavitation.
Educational Qualifications
Ph.D., Mechanical Engineering, California Institute of Technology
B.Eng., Engineering Mechanics, Aerospace, Tsinghua University
Select Awards & Honors
- National Science Foundation CAREER Award, 2025
- Semiconductor Research Corporation Pilot Seed Grant, 2024-2025
- Haythornthwaite Initiation Grant, Applied Mechanics Division (AMD) of the American Society of Mechanical Engineers (ASME), 2022