Project Info
Machine Learning and Automation for Low-Concentration Hydrogen Gas Detection
Anna Staerz
astaerz@mines.edu
Project Goals and Description:
Hydrogen gas (H₂) is a promising clean energy carrier, but its safe transport will require monitoring capabilities. This project aims to enhance the detection of low-concentration H₂ gas by integrating advanced machine learning techniques with automated gas mixing systems. The research will focus on developing algorithms capable of analyzing large datasets from sensor arrays to accurately identify H₂ presence amidst varying environmental gas concentrations.
More Information:
Grand Challenge: Not applicable.
The project will mostly rely on the signal of metal oxide based sensor which are explained in this publication: Current state of knowledge on the metal oxide based gas sensing mechanism - ScienceDirect
For information about leak detection and novel data evaluation: On-line event detection by recursive Dynamic Principal Component Analysis and gas sensor arrays under drift conditions | IEEE Conference Publication | IEEE Xplore
They can also always reach out via email for more detailed information.
Primary Contacts:
astaerz@mines.edu
kazirifatbin_rafiq@mines.edu
Student Preparation
Qualifications
We are looking for a student who is excited about research, not afraid to learn a bit about microelectronics and ideally can program (or is willing to learn).
TIME COMMITMENT (HRS/WK)
5
SKILLS/TECHNIQUES GAINED
Learn how to set-up an hypothesis and design an experiment.
Become comfortable with large data sets and optimizing automated measurements, e.g. program tweaking of a gas mixing system.
Contribute to the preparation of research findings for presentations at the group seminar and in the best case help prepare a publication.
MENTORING PLAN
The student will be encouraged to actively participate in the weekly group meetings in which each group member briefly shares progress, challenges, and potential solutions. Additionally, short science updates will be presented, giving the student the opportunity to practice presenting the scientific topic. In general, I am a very hands-on mentor with an open-door policy. Meaning I value regular and more freely structured discussions about research. As an additional support, the student will work closely with my graduate student in the lab. Additionally, due to the multi-facetted nature of the project, the student will be able to select aspects that are they are especially interested in to focus on. I also feel that this freedom and flexibility is important for undergraduate researchers so that they can better understand if they would like to continue on a research focused path professionally.
Preferred Student Status
Sophomore
Junior