D-Team

The Data Team (D-Team), under the direction of Dr. Eileen Martin, focuses on strategies for large-scale data acquisition and analysis with applications in energy, geotechnical engineering, the environment, and infrastructure. This includes improving our use of distributed fiber-optic sensing and integration of different data sources. The team designs algorithms and software for data-intensive computing (including through data reduction, streaming and randomization) across HPC, cloud, in-the-field and edge computing resources.

High-resolution Study of Alaskan Permafrost

Our Team

Eileen Martin

Eileen Martin

Team Lead

Shihao Yuan

Shihao Yuan

Research Associate

Badr Badghaish

Badr Badghaish

MS Student

Hafiz Issah

Hafiz Issah

PhD Student

Nikhil Punithan

Nikhil Punithan

MS Student

Tomas Snyder

Tomas Snyder

MS Student

Yida Song

Yida Song

PhD Student

Ahmad Tourei

Ahmad Tourei

PhD Student

The Problems We Solve

Near surface tool

Near-surface Geophysics

Construction

Engineering Geophysics

Landslide

Environmental Geophysics

Utility Poles in Urban Setting

Urban Geophysics

Creating fast algorithms for seismic data analysis

Creating algorithms for seismic data analysis

The Tools We Use

High Performance Computing

Signal Processing

Distributed Acoustic Sensing

Passive Seismic Methods

Recent Publications

Anikiev, D., U. Waheed, F. Staněk, D. Alexandrov, Q. Hao, N. Iqbal, and L. Eisner, 2022, Traveltime-based microseismic event location using artificial neural network: Front. Earth Sci. Http://doi.org/10.3389/feart.2022.1046258.

 

How to Apply

To be considered for the D-Team, mention the team in your statement of interest. Contact Dr. Eileen Martin, eileenrmartin@mines.edu, with questions.

Seismic monitoring in an underground mine