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The Discovery and Systems Health (DaSH) technical area focuses on challenges in understanding engineering and science data. The engineering data understanding work is centered around the emerging systems engineering discipline of Integrated Systems Health Management (ISHM). Ames is NASA's premier ISHM research and development facility, with strengths in design of health management systems, ISHM systems engineering, sensor selection and optimization, monitoring, data analysis, prognostics, diagnostics, failure recovery, diagnostic decision aids, data and knowledge management, and ISHM human factors.

Scientific data understanding work targets large-scale data analysis problems in data-rich domains such as earth science and cosmology. In addition, DaSH is involved in data analysis and mining for a variety of other NASA missions including aviation safety and security, the Space Shuttle program, and the NASA Engineering Safety Center. Resident expertise includes machine learning, data mining, text mining, statistical pattern recognition, and exploratory data analysis. DaSH also evaluates various quantum computing approaches. Initial work has a focus on theoretical and empirical analysis of quantum annealing approaches to difficult optimization problems such as those posed by diagnostics and decision making problems.

Technical Area Lead

Kai Goebel

Deputy Technical Area Lead

Scott Poll


Prognostics Center of Excellence


Quantum Computing

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