Purdue University's College of Science and the Department of Mathematics manage the Geo-Mathematical Imaging Group (GMIG). It is an industry and government funded, multi-disciplinary, inter-institutional graduate education and research program.

Founded in 2007, the group works to develop improved technology to meet the complex challenges of modern day prospect evaluation, enhanced oil recovery, CO₂ sequestration, and general geological study of the Earth's subsurface by expanding the boundaries of knowledge of seismic imaging, inverse scattering and tomography through collaborative scientific activities and breakthroughs.

In the research program of the Geo-Mathematical Imaging Group, exploration seismology meets global seismology, integrating passive source, ambient-noise source with active source and controlled-noise source imaging. It consists of integrated analysis and very large scale computation with strongly interconnected theoretical, and algorithmic and HPC projects.

In industry, GMIG is currently best known for its:

• massively parallel structured direct solver for the 3D Helmholtz equation
• convergence theorems and strategies for nonlinear FWI
• multi-scale nonlinear compression and sparse sampling: theory and algorithms for the scattering and reconstruction of waves in connection with minimal data acquisition strategies
• acoustic and anisotropic elastic (artifact-free) RTM-based inverse scattering
• DG-method based digital (reservoir) rock, acousto-elastic and diffuse electromagnetic wave physics