Project Info
*Data Science for Resources Engineering
Sebnem Duzgun
duzgun@mines.edu
This project implements machine and statistical learning methods for resources engineering, namely, mining, oil and gas, geothermal energy. Hene students learn how to curate geospatial data, to implement statistical and machine learning methods and to use AI for the problems of resources engineering. Students also become familiar to handling and processing of geospatial data , e.g. maps, satellite images, lidar data etc.
More Information:
Grand Challenge: Not applicable
https://scholar.google.com/citations?hl=en&user=qk6Af6cAAAAJ&view_op=list_works&sortby=pubdate
Primary Contacts:
faculty, postdocs and phd students
Student Preparation
Qualifications
motivation for learning data science
TIME COMMITMENT (HRS/WK)
10
SKILLS/TECHNIQUES GAINED
data curation, exploration, machine and statistical learning, gis and remote sensing
MENTORING PLAN
Students are matched with post docs and PhD students and have weekly meeting and present their progress monthly to the faculty
PREFERRED STUDENT STATUS
Junior
Senior