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Bethesda Maryland. Key responsibilities include: • Neuroscience with EEG • Data Science and Artificial Intelligence • Multi-physics and multi-scale simulation using high performance computing
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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analysis modeling and simulation. Hallmarks of the undergraduate experience include one full year of cooperative education, an innovative multidisciplinary senior design program, and an impressive variety
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healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling and
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systems devices and materials; energy and environment; and data analysis modeling and simulation. Hallmarks of the undergraduate experience include one full year of cooperative education, an innovative
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will focus on applying and developing physics-informed and physics-embedded AI/ML methods to, for example, design new materials and technologies through data-driven modeling and simulation, pattern