Oak Ridge National Laboratory (ORNL), established in 1943, provides over a thousand extraordinary research scientists and engineers with unique facilities to solve our nation’s grand challenges. As the largest US Department of Energy (DOE) open science laboratory, ORNL’s mission is to deliver scientific discoveries and technical breakthroughs that will accelerate the development and deployment of solutions in clean energy and global security while creating economic opportunities for the nation. Imaging is a foundational science at the Laboratory; impacting material discovery, measurements with neutrons, additive manufacturing quality control and validation, nuclear power systems and infrastructure inspection, studies of complex biological and environmental systems, building energy efficiency, and multiple national security applications. Dr. Santos takes us on the journey of working at the Oak Ridge National Laboratory as an imaging scientist. He showcases work in the areas of Identity Sciences (i.e., biometrics), Machine Learning, and Computational Imaging. Some application to discuss are coded source neutron imaging, non-ideal iris recognition, face reconstruction from a DNA sample, plenoptic imaging, brain neuron tracking tools, evolutionary deep neural architectures, model-based iterative image reconstruction, and Bragg-Edge tomography.
Hector J. Santos-Villalobos is an R&D Staff member of the Imaging, Signals, and Machine Learning Group (ISML) at the Oak Ridge National Laboratory since 2012. He received B.S. and M.S. degrees in 2003 and 2005, respectively, from the Department of Computer and Electrical Engineering at the University of Puerto Rico. In 2010, he received a Ph.D. from the School of Electrical and Computer Engineering at Purdue University and right after, he joined the ISML group as a post doctorate student. In 2011, he was one of the recipients of the JIST & JEI Itek Award for an outstanding and original research publication on imaging science and engineering concerning his doctorate work. During his time at ORNI, he has worked on a variety of imaging modalities with a common goal of developing capabilities and a reputation for computational imaging and identity sciences at ORNI. Key project areas include biometrics, coded aperture imaging, plenoptic imaging, and elastic ultrasound imaging. His research has produced several publications, three issued U.S. patents, and multiple research grants.
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MSEE 317, Purdue University, West Lafayette, IN