I currently work as a Solutions Architect at Barone Consulting, LLC, and as President and Senior Lead Scientist at R3-Expert Analytics, Inc. My main goal is to facilitate the growth of these companies, as well as to support and further develop expertise related to hyperspectral remote sensing, data science, machine learning, and AI. My technical work has included spectral/spatial algorithm development and data analytics to interpret patterns in high dimensional imagery. Previously, I worked for Booz Allen Hamilton, Inc. I was also a Program Lead for the U.S. Government, having led numerous teams and managed many contracts across a broad range of research projects and engineering activities, including the organization of a number of large workshops and demonstrations. I've also served as a Research Scientist for the U.S. Government, performing many hands-on research endeavors resulting in patents and numerous publications. One example was development of an approach to improve recognition in hyperspectral imagery by combining imaging spectroscopy, spectral matched filters, and machine learning. PATENTS: U.S. Patent (US 7,2000,243 B2), April 3, 2007, titled “Spectral Mixture Process Conditioned by Spatially Smooth Partitioning.” U.S. Patent (US 7,805,005 B2), September 28, 2010, titled “Efficient Imagery Exploitation Employing Wavelet-Based Feature Indices”.SELECTED PUBLICATIONS:Rand R., Resmini, R., and Allen, D., “Modeling linear and intimate mixtures of materials in hyperspectral imagery with single scattering albedo and kernel approaches,” Journal of Applied Remote Sensing , JARS Vol 11(1), January 2017.Rand, R., Khuon, T., Truslow, E., "Distributed adaptive framework for multispectral/hyperspectral imagery and 3-D point cloud fusion," Opt. Eng. 55(7), July 2016. Rand R.S., Clark R.N., and Livo E., “Feature-based and statistical methods for analyzing the Deepwater Horizon oil spill with AVIRIS imagery,” Proc. of the SPIE Optics and Photonics, San Diego, CA. August 2010.