Project Info
Machine Learning and AI for resources engineering
Sebnem Duzgun | duzgun@mines.edu and Tulay Flamand | tflamand@mines.edu
The major goal of this research is to develop machine learning and artificial intelligence models for multimodel data in resources engineering for prediction and pattern recognition. The project includes various multimodal data from text, images, video, and other publicly available data as well as crowdsourcing data, Typical application areas are mineral and oil/gas exploration, data for social good, energy demand and supply analysis, social license to operate, sustainability assessment.
Elucidate the interdisciplinary nature of the project
The project compiles knowledge from data science and resources engineering.
More Information
https://www.minesnewsroom.com/news/researchers-tackle-big-data-help-syrian-refugees-turkey
Grand Engineering Challenge: Restore and improve urban infrastructure.
Student Preparation
Qualifications
An ambition to learn.
Time Commitment
6 hours/week
Skills/Techniques Gained
Programming in Python, R and tableau.
Mentoring Plan
Students will be given a clear description of the goals and road map. They will start working with Ph.D. students and the faculty. There will be weekly meetings with the PhD students and bi-weekly meeting with the whole project team including the faculty.