Liudong Xing

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.

Investigations of a fundamental and/or applied nature intended to develop design techniques, research techniques, initiative and independent inquiry. A written project report has to be completed by the student's advisor. Admission is based on a formal proposal endorsed by an advisor and approved by the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature intended to develop design techniques, research techniques, initiative and independent inquiry. A written project report has to be completed by the student's advisor. Admission is based on a formal proposal endorsed by an advisor and approved by the ECE Graduate Program Director.

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.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Satisfies the Research Skills component of the ELE PhD qualifier. Student is evaluated by at least 3 faculty based on an oral presentation and defense of a small research project. Course is graded pass/fail.

Satisfies the Research Skills component of the ELE PhD qualifier. Student is evaluated by at least 3 faculty based on an oral presentation and defense of a small research project. Course is graded pass/fail.

Research for and preparation of doctoral dissertation proposal. The dissertation proposal must provide a thorough survey of the research activities in the research topic area and it must present original and innovative research ideas and preliminary results as well as a defined research scope and directions. PhD students must have passed this course before registering for doctoral dissertation research credits. This course may also be applied toward MS thesis or project credit if PhD student leaves prior to completing their dissertation. In all cases, required deliverables are an oral defense and a written document approved by the student's committee.Graded P/F.

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.

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