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Reliability and Risk Engineering and Management

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Multidisciplinary Graduate Studies

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Initially Funded by
The National Science Foundation
Integrative Graduate Education, Research, and Training (IGERT) Program (2001-2008)

The Multidisciplinary Reliability and Risk Engineering and Management Studies project is the first in the world to study and develop integrated multidisciplinary computational and experimental approaches to assessing and managing risk and reliability. The project's pioneering approach is unique, and the techniques are broadly applicable across engineering and management disciplines.


National Science Foundation IGERT Program

The IGERT program has been developed to meet the challenges of educating U.S. Ph.D. scientists, engineers, and educators with the interdisciplinary backgrounds, deep knowledge in chosen disciplines, and technical, professional, and personal skills to become in their own careers the leaders and creative agents for change.

 

EMI/PMC 2016 Congrats

Click here for more information and to visit the EMI 2016 / PMC 2016 conference website. 


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Recent News

Vanderbilt University hosted the Engineering Mechanics Institute Conference 2016 and Probabilistic Mechanics & Reliability Conference 2016 (EMI 2016 / PMC 2016) in Nashville, TN (May 22-25, 2016).

Congratulations! Doug Adams received the 2016 B.J. Lazan Award from the Society of Experimental Mechanics.

Congratulations! Sankaran Mahadevan received the 2016 SEC Faculty Achievement Award which recognizes outstanding record in teaching, research and scholarship.

Congratulations! Chezhao Li won the Probabilistic Methods Student Paper Competition at the EMI 2016 / PMC 2016 Conference in Nashville, TN in May 2016.

Congratulations! Sankaran Mahadevan received the 2015 Outstanding Technical Contribution Award which was presented at the 15th Biennial ASCE Aerospace Division Earth and Space Conference in Orlando, FL in April 2016.

Congratulations! Chenzhao Li won the Best Student Paper Award at the AIAA Non-Deterministic Approaches Conference in San Deigo, CA in January 2016.

New research project in 2016: Validation of Time-Dependent Model Prediction (Air Force Research Laboratory)

New research project in 2016: Extrapolation Confidence Assessment and Resource Allocation (Sandia National Laboratories)

New research project in 2016: Uncertainty Quantification in Predictive Analytics for Manufacturing (National Institute for Standards and
Technology)

New research project in 2016: Fatigue Test Planning (Rolls-Royce)