Dr. Velez-Reyes research interests are in integrating physical, statistical, and machine-learning approaches to develop methodologies for information extraction from dynamic systems using remote sensing. Dr. Velez-Reyes work has focused in recent times in remote sensing methodologies using hyperspectral remote sensing in earth system science, national defense and security, and space domain awareness. The approach to develop his research program has been guided by the principle of "diverse problems, similar solutions," which has helped him to understand and exploit the commonalities (physical and mathematical, computational and algorithmic) that underlie diverse problems in information extraction from remote and minimally intrusive sensing, and explore this knowledge synergy in the solution of existing and novel problems across different fields. This approach has stimulated significant cross-disciplinary dialog that have led to collaboration with researchers in multiple disciplines across science and engineering.