Liudong Xing, PhD


Electrical & Computer Engineering




Science & Engineering 209A


2002University of VirginiaPhD in Electrical Engineering
2000University of VirginiaMS in Electrical Engineering
1996Zhengzhou University, ChinaBE in Computer Science


Research interests

  • Decision diagrams
  • Dependable computing and networking
  • Fault-tolerant computing
  • Risk assessment
  • Sensor networks

Select publications

L. Xing and Y. Dai (2009).
A New Decision Diagram Based Method for Efficient Analysis on Multi-State Systems
IEEE Trans. Dependable and Secure Computing, 6(3), 161-174.

L. Xing, A. Shrestha, L. Meshkat, and W. Wang (2009).
Incorporating Common-Cause Failures into the Modular Hierarchical Systems Analysis
IEEE Trans. Reliability, 58(1), 10-19.

A. Shrestha and L. Xing (2008).
A Logarithmic Binary Decision Diagrams-Based Method for Multistate Systems Analysis
IEEE Trans. Reliability, 57(4), 595-606.

Dr. Liudong Xing received her B.E. degree in Computer Science from Zhengzhou University, China, in 1996, and was a Research Assistant in the Chinese Academy of Sciences from 1996 to 1998. She was awarded the M.S. and Ph.D. degrees in Electrical Engineering from the University of Virginia (UVA) in 2000 and 2002, respectively. In 2002, Dr. Xing joined the faculty of the University of Massachusetts Dartmouth, where she is currently a Professor in the Department of Electrical and Computer Engineering. Dr. Xing served as a Program Co-chair for the IEEE DASC 2006 & UC-Sec 2009, a program vice chair for ICESS 2007 & ICPADS 2008 & DASC 2009, and an associate Guest Editor for the Journal of Computer Science on a special issue of “Reliability and Autonomic Management” in 2006. She is the Editor for the Short Communications in the International Journal of Performability Engineering. She also serves on the program committees of many international workshops and conferences. Dr. Xing is the recipient of the IEEE Region 1 Technological Innovation (Academic) Award in 2007. Her current research focuses on reliability analysis of complex systems. Her research has been partly supported by National Science Foundation (NSF). She is a senior member of IEEE and a member of Eta Kappa Nu.

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