San Jose, California, United States
• Strong experimental and analytical skills, applied to characterizing materials microstructure, deformation, and failure. Extensive experience with in-situ mechanical testing, electron microscopy, digital image correlation, X-ray diffraction, atomic force microscopy, LabVIEW programming, etc. • Strong programming skills for data processing and analysis, including Matlab, Python, and C++. • Experience managing lab and projects: quick learner and effective problem solver, ability to work independently and in cooperation with others, highly motivated to achieve goals. Specialties SEM, EBSD, Ditigal Image Correlation, EDS, AFM, XRD, TEM, PVD, experiment design, in-situ mechanical testing, conventional mechanical testing, metallography, fractography, Matlab, Kaleidagraph, C programming, C++ programing, Labview programming
• Developed a customized experimental system for in-situ mechanical testing and SEM imaging via LabVIEW and Python programming. • Investigated the deformation, microstructure, and property relationships for Mg alloys at the microstructural length scale via in-situ electron backscatter diffraction (EBSD) and scanning electron microscopy - digital image correlation (SEM-DIC).
• Developed an approach for active deformation twin system and twin variants identification from full-field deformation data using machine learning and computer vision. • Developed analytical frameworks for large data analysis and data mining to investigate the microstructure and neighborhood effects on the nucleation and growth of deformation twinning in Mg alloys.
• Developed advanced experimental approaches for automated large-field high-resolution deformation mapping by SEM-DIC. • Developed an approach for deformation twinning identification from full-field deformation data through computer vision and machine learning.
• Developed and improved experimental techniques to study heterogeneous deformation in titanium alloys using SEM-DIC, including distortion correction and nanoparticle assembly for displacement tracking. • Developed an approach for active slip system identification in polycrystalline metals using digital image correlation for improved accuracy.
• In charge of multiple research projects, lab management, equipment maintenance, and guiding students. • Development of a tip-based nanolithography tool using liquid metal ink. Main work included building the apparatus, fabricating Si tips, and creation of LabVIEW programs to control the system. • Investigated the reliability of solder microbumps by characterizing microstructure of real and fabricated simulated (larger scale) microbumps, performing fracture testing, and analyzing fracture mechanisms.