Liudong Xing, PhD

Professor

Electrical & Computer Engineering

508-999-8883

508-999-8489

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Science & Engineering 209A


Education

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

Teaching

  • Fault-Tolerant Computing & Reliability Engineering
  • Dependable & Secure Computing
  • Computer Systems Performance Evaluation
  • Computer Architecture

Teaching

Programs

Teaching

Courses

Techniques for designing and analyzing dependable and fault-tolerant computer-based systems. Topics addressed include: fault, error, and failure cause-and-effect relationships; fault avoidance techniques; fault tolerance techniques, including hardware redundancy, software redundancy, information redundancy, and time redundancy; fault coverage; time-to-failure models and distributions; reliability modeling and evaluation techniques, including fault trees, cut-sets, reliability block diagrams, binary decision diagrams, and Markov models. In addition, availability modeling, safety modeling, and trade-off analysis are presented.

Techniques for designing and analyzing dependable and fault-tolerant computer-based systems. Topics addressed include: fault, error, and failure cause-and-effect relationships; fault avoidance techniques; fault tolerance techniques, including hardware redundancy, software redundancy, information redundancy, and time redundancy; fault coverage; time-to-failure models and distributions; reliability modeling and evaluation techniques, including fault trees, cut-sets, reliability block diagrams, binary decision diagrams, and Markov models. In addition, availability modeling, safety modeling, and trade-off analysis are presented.

Development of a broad working knowledge of probability, queuing theory, petri-nets, simulation and empirical modeling as applied to computer systems hardware and software performance modeling and assessment. The course is oriented toward a practical application of theory and concepts with an emphasis placed on the use of computer tools to model performance and to perform trade-off analysis.

Development of a broad working knowledge of probability, queuing theory, petri-nets, simulation and empirical modeling as applied to computer systems hardware and software performance modeling and assessment. The course is oriented toward a practical application of theory and concepts with an emphasis placed on the use of computer tools to model performance and to perform trade-off analysis.

Advanced topics on dependability and security modeling, analysis and design techniques for computer-based systems and networks. Topics include multistate, phased-mission, fault-tolerant networks, social networks, distributed systems, imperfect coverage, and dependent failures. Projects aiming to prepare students to perform research in dependable and secure computing are required. Substantial emphasis is placed on reading research papers in a critical and analytical manner.

Advanced topics on dependability and security modeling, analysis and design techniques for computer-based systems and networks. Topics include multistate, phased-mission, fault-tolerant networks, social networks, distributed systems, imperfect coverage, and dependent failures. Projects aiming to prepare students to perform research in dependable and secure computing are required. Substantial emphasis is placed on reading research papers in a critical and analytical manner.

Research

Research Interests

  • System Reliability Engineering
  • Probabilistic Risk Assessment
  • Fault-Tolerant Computing
  • Decision Diagrams
  • Reliability of Internet of Things Systems

Select publications

Y. Wang, L. Xing, G. Levitin, and N. Huang (2018).
Probabilistic competing failure analysis in phased-mission systems
Reliability Engineering & System Safety, 176, 37-51.

L. Xing and S. V. Amari (2015).
Binary Decision Diagrams and Extensions for System Reliability Analysis
Wiley-Scrivener, MA

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, 161-174.

Liudong Xing received the B.E. degree in computer science (with top #1 GPA) from Zhengzhou University, China in 1996, and the M.S. and Ph.D. degrees in electrical engineering from the University of Virginia in 2000 and 2002, respectively. She is currently a Professor with the Department of Electrical and Computer Engineering, University of Massachusetts (UMass) Dartmouth, U.S. Her research focuses on reliability modeling, analysis and optimization of complex systems and networks.

Prof. Xing was the recipient of the Leo M. Sullivan Teacher of the Year Award in 2014, the Scholar of the Year Award in 2010, and the Outstanding Women Award in 2011 of UMass Dartmouth. She was the recipient of the 2018 IEEE Region 1 Outstanding Teaching in an IEEE Area of Interest (University or College) Award, the 2015 ChangJiang Scholar award by the Ministry of Education of China, and the 2007 IEEE Region 1 Technological Innovation (Academic) Award. She was also co-recipient of 2018 Premium Award for Best Paper in the journal of IET Wireless Sensor Systems, and the Best (Student) Paper Award at several international conferences (ICRSE2017, QR2MSE2015, RAMS2015, RAMS2012, NAS2009). She is or was an Associate Editor or Editorial Board member of multiple journals including Reliability Engineering & System Safety, International Journal of Systems Science, IEEE Transactions on Reliability, etc. She has served as program committee chair, co-chair, vice-chair for multiple different international conferences, and technical program committee member for numerous international workshops and conferences.She is a senior member of IEEE and a member of IEEE-Eta Kappa Nu.

External links

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