We develop a wide range of techniques for analyzing and predicting measures of risk and reliability of materials, structures and machines at all scales of the system.  Our work touches on the fields of big data science and engineering as well as cyber-physical systems and human factors and has strong interdisciplinary dimensions. By measuring the current state of a system, like a rechargeable battery electrode, we can predict the reliability of that system even when it is damaged such as when the electrode is found to have impurities due to air bubbles, scratches or other such variations.

Click here to learn more about our powerful research and education model for risk and reliability studies at Vanderbilt. http://www.reliability-studies.vanderbilt.edu

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