Machine Learning to Analyze Rock Microstructures (Fall - 2020)

Advisor: Yolanda Gil (Viterbi School of Engineering)
Students: Abhivineet Veeraghanta , Bolong Pan , Bryan Beh , Hanzhi Zhang , Feilong Wu

Description

Students will analyze images from optical microscopes that reveal features of materials and microstructures using machine learning techniques. These images have been collected by geologists, who use them to study the rock samples that they collect in the field and determine their properties and origins. We have a baseline system already implemented, and the goal is to improve it with new machine learning techniques, guided by the insights of our collaborating geologists.

Awards

  • Best Project Presentation

  • Highlighted Project

Students

Advisors

Skills Required by the team

  • Python
  • Machine Learning
  • Image Analysis
Fall 2020 Featured Best Project Presentation Highlighted Project