Machine Learning + Digital Image Correlation

This project is ongoing.

Leveraging state-of-the-art machine learning and data-driven methods to keep improving 2D and 3D full-field deformation measurement (e.g., digital image correlation, stereo 3D digital image correlation, digital volume correlation, particle tracking) and other material characterization experimental techniques.

 

 

Qualifications
  1. Interested in mechanics, materials, and structures
  2. Overall GPA > 3.6/4.0
  3. Staying in lab for at least 4 hours per week and stay at least for one year 
  4. Taking EM 306 and EM 319 before and receiving at least A for both two courses
  5. Familiar with MATLAB or Python coding; 
  6. Eager to perform experimental testing for material characterization;
  7. Good communication and being responsible

I'M INTERESTED IN THIS PROJECT. WHAT SHOULD I DO NEXT?

The Office of Undergraduate Research recommends that you attend an info session or advising before contacting faculty members or project contacts about research opportunities. We'll cover the steps to get involved, tips for contacting faculty, funding possibilities, and options for course credit. Once you have attended an Office of Undergraduate Research info session or spoken to an advisor, you can use the "Who to contact" details for this project to get in touch with the project leader and express your interest in getting involved.

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