faculty
Liudong Xing, PhD
Commonwealth Professor
Electrical & Computer Engineering
Contact
508-999-8883
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Science & Engineering 213C
Education
| 2002 | University of Virginia | PhD in Electrical Engineering |
| 2000 | University of Virginia | MS in Electrical Engineering |
| 1996 | Zhengzhou University, China | BE in Computer Science |
Teaching
- Fault-Tolerant Computing & Reliability Engineering
- Dependable & Secure Computing
- Computer Systems Performance Evaluation
- Computer Architecture
Teaching
Courses
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.
For PhD students who plan to take the PhD Comprehensive exam within the next 3 months. Up to 6 credits may be applied to either doctoral dissertation or MS thesis (should student not pass Comprehensive exam). Graded P/F.
Research
Research awards
- $ 420,766 awarded by National Science Foundation for CSR: Small: Cascading Failures Modeling and Mitigation in the Internet of Things
- $ 1,218,640 awarded by National Science Foundation for CyberCorps Scholarship for Service: Accelerating Cybersecurity Education, Scholarship and Service
Research
Research interests
- System Reliability Engineering
- Probabilistic Risk Assessment
- Fault-Tolerant Computing
- Decision Diagrams
- Reliability of Internet of Things Systems
Select publications
- Liudong Xing (2024).
Reliability and Resilience in the Internet of Things
Elsevier - Liudong Xing and Barry W. Johnson (2023).
Reliability Theory and Practice for Unmanned Aerial Vehicles
IEEE Internet of Things Journal, 10 - Liudong Xing, Gregory Levitin, Chaonan Wang (2019).
Dynamic System Reliability: Modeling and Analysis of Dynamic and Dependent Behaviors
Wiley - Amir Ehsani Zonouz, Liudong Xing, Vinod M. Vokkarane, Yan (Lindsay) Sun (2016).
Hybrid Wireless Sensor Networks: A Reliability, Cost and Energy-Aware Approach
IET Wireless Sensor Systems, 6
2018 Premium Award for Best Paper in IET Wireless Sensor Systems - L. Xing and S. V. Amari (2015).
Binary Decision Diagrams and Extensions for System Reliability Analysis
Wiley-Scrivener, MA
Liudong Xing received the BE degree in computer science (with top #1 GPA) from Zhengzhou University, China in 1996, and the MS and PhD degrees in electrical engineering from the University of Virginia in 2000 and 2002, respectively. She is currently a Commonwealth 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.
She has been a Fellow of The International Society of Engineering Asset Management since 2019. According to Research.com, Prof. Xing was named among the Best Scientists in Computer Science in the world and USA. According to Elsevier/Stanford University List, she was named among the World Top 2% Scientists.
According to ScholarGPS, she was named a Highly Ranked Scholar and placed in the Top 0.05% of all scholars worldwide. She is IEEE ComSoc Distinguished Lecturer for the class of 2024-2025.