Prof. Liudong Xing

2016-01-17 17:42:51
Prof. Liudong Xing
University of Massachusetts Dartmouth, USA
Liudong Xing is a professor in the Department of Electrical and Computer Engineering at the University of Massachusetts (UMass), Dartmouth. She received her PhD degree in Electrical Engineering from the University of Virginia, Charlottesville in 2002. Her current research focuses on reliability modelling and analysis of complex systems and networks. She is an author or co-author of over 200 technical papers and a book entitled "Binary Decision Diagrams and Extensions for System Reliability Analysis". Prof. Xing is an associate editor for International Journal of Systems Science, International Journal of Systems Science: Operations & Logistics, Journal of Computational Engineering, and RAMS (Reliability and Maintainability Symposium). She is also an assistant editor-in-chief for International Journal of Performability Engineering, and an editorial board member for Reliability Engineering & System Safety. She is the recipient of Leo M. Sullivan Teacher of the Year Award (2014), Scholar of the Year Award (2010), and Outstanding Women Award (2011) of UMass Dartmouth. She is also the recipient of IEEE Region 1 Technological Innovation (Academic) Award in 2007, and the co-recipient of Best Paper Award at the IEEE International Conference on Networking, Architecture, and Storage in 2009. She is a senior member of IEEE. (
Title of Speech: Reliability Computing for Modern Networks
Abstract:  Recent advances in science and technology have made modern networks more powerful and sophisticated than ever. The increasing level of sophistication and automation not only increases the complexity of these networked systems, but also increases the dependencies among components within these systems. As a result network reliability modeling and analysis become more challenging than ever. In this talk I will explain the use of reliability analysis for the purpose of robust and cost-effective network system design, followed by an introduction to several challenging research problems on reliability computing for modern networks, such as storage area networks, body area networks, and wireless sensor networks.
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