Research Interests
Applied Mathematics and Mathematical Problems in Engineering: signal/image processing, machine learning, compressed sensing, subsurface imaging, numerical scheme of wave equation, sparse approximation, inverse problem, history matching, etc.
Project at Georgia Tech:
Machine learning and imaging schemes with applications in seismic signal processing, exploration geophysics, and microseismic monitoring.
Previous Project:
1. Subsurface imaging, history matching, and inverse problems with application background in Petroleum Engineering. University of Southern California
2. Knowledge Enhanced Compressive Measurement (KECOM) supported by DARPA. Colorado State University