Zhimin Xi

Assistant Professor

Industrial and Systems Engineering

Phone:848-445-3657
Fax:732-445-5467
Email:zhimin.xi@rutgers.edu
Office:CoRE Building, Room 224
Zhimin Xi is an Assistant Professor in the Department of Industrial and Systems Engineering at the Rutgers University – New Brunswick. He received his B.S. and M.S. degree in Mechanical Engineering at the University of Science and Technology Beijing in 2001 and 2004, respectively. He obtained his Ph.D. in Reliability Engineering at the University of Maryland – College Park in 2010. His research interests include reliability and safety for energy storage systems, design for resilient systems, prognostics and health management for engineering systems, model validation under uncertainty, and system reliability and quality analysis. He has published more than 50 papers in prestigious journals and peer-reviewed conference proceedings. He is the recipient of 2016 DARPA (Defense Advanced Research Projects Agency) - Young Faculty Award. He is the winners of multiple (including twice Top 10) Best Paper Awards from ASME – Design Automation Conference in 2008, 2011, 2013, and 2015 respectively.

Education

Ph.D., Mechanical Engineering, University of Maryland – College Park, 2010

Honors

DARPA – Young Faculty Award, 2016

Best Paper Award, International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, 2015

Top 10 Best Paper Award, ASME – Design Automation Conference, 2015

Best Paper Award, ASME – Design Automation Conference, 2013

Top 10 Best Paper Award, ASME – Design Automation Conference, 2011

Best Paper Award, ASME – Design Automation Conference, 2008

Professional Affiliations

IISE, Senior Member

ASME, Member

INFORMS, Member

Research Interests

Reliability and safety for energy storage systems, design for resilient systems, prognostics and health management for engineering systems, model validation under uncertainty, and system reliability and quality analysis

Selected Publications

​1. Chen X., Xi Z., Jing P., A Unified Framework for Evaluating Supply Chain Reliability and Resilience, IEEE Transactions on Reliability, 2017.

2. Xi Z., Pan H., Yang R.J., Time dependent model bias correction for model based reliability analysis, Structural Safety, Vol. 66: 74-83, 2017.

3. Xi, Z., Jing, R., Lee, C., and Hayrapetyan, M., Recent Research on Battery Diagnostics, Prognostics, and Uncertainty Management, Advances in Battery Manufacturing, Service, and Management Systems, IEEE Series on Systems Science, Wiley-IEEE Press, 2016.

4. Pan, H., Xi, Z., and Yang, R.J., Model Uncertainty Approximation Using a Copula-based Approach for Reliability Based Design Optimization, Structural and Multidisciplinary Optimization, 2016.

5. Xi, Z., and Yang, R.J., Reliability Analysis with Model Uncertainty Coupling with Parameter and Experiment Uncertainties: A Case Study of 2014 V&V Challenge Problem, ASME Journal of Verification, Validation and Uncertainty Quantification, 1(1): 011005, 2016.

6. Xi, Z., Youn, B.D., Jung, B.C., and Yoon, J.T., Random field modeling with insufficient field data for probability analysis and design, Structural and Multidisciplinary Optimization, Vol. 51(3): 599-611, 2015.

7. Jing, R., Xi, Z., Yang, X.G., and Decker, E., A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties, International Journal of Prognostics and Health Management, Vol. 5 009, pages 10, 2014.

8. Xi, Z., Jing, R., Wang, P., and Hu, C., A Copula-based sampling method for data-driven prognostics, Reliability Engineering and System Safety, Vol. 132: 72-82, 2014.