Ph.D. Mechanical Engineering at University of Michigan 2006M.S. University of Wisconsin - Madison
Professor Chang joined UVA as an Associate Professor in December 2018. Prior to her position at UVA, Dr. Chang was an associate professor of Mechanical Engineering at Stony Brook University. Dr. Qing (Cindy) Chang’s research has focused on improving sustainability and efficiency of smart manufacturing systems. She specializes in dynamic manufacturing system modeling and simulation, data-driven analysis, real-time production control and real-time energy management of manufacturing systems, and intelligent maintenance. Dr. Chang received a CAREER award from the National Science Foundation (NSF) in 2014.
One of "20 Most Influential Professors in Smart Manufacturing in the Nation" by SME2020
NSF Faculty Early Career Development (CAREER)2014
General Motors Boss Kettering Awards2005, 2006, 2008
GM R&D The Charles L. McCuen Special Achievement Awards2005, 2006, 2008
Advanced Manufacturing/Smart Manufacturing
Production Modeling and Control
Integrated Production and Energy System Modeling and Control
Battery Manufacturing System Modeling, Analysis, and Reliability Assessment
Intelligent Maintenance and Energy Management
Production performance prognostics through model-based analytical method and recency-weighted stochastic approximation method Jing Zou, Qing Chang, Jorge Arinez and Guoxian Xiao, Journal of Manufacturing Systems, vol. 47, pp. 107-114, 2018
Event-Based Modeling and Analysis of Sensor Enabled Networked Manufacturing Systems Jing Zou, Qing Chang, Yong Lei, and Jorge Arinez, IEEE Transaction on Automation Science and Engineering, DOI: 10.1109/TASE.2018.2861837, 2018
Production system performance identification using sensor data Jing Zou, Qing Chang, Yong Lei, and Jorge Arinez, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 255-264, 2018.
Data-driven Modeling and Real-Time Distributed Control for Energy Efficient Manufacturing Systems Jing Zou, Qing Chang, Jorge Arinez and Guoxian Xiao, Energy, vol 127, pp.247-257, 2017
Dynamic Production System Diagnosis and Progonosis Using Model-Based Data-Driven Method Jing Zou, Qing Chang, Jorge Arinez, Guoxian Xiao and Yong Lei, Expert Systems with Applications, Vol.80, pp200-209, 2017
Gantry Scheduling for Multi-Gantry Production System by Online Task Allocation Method Xinyan Ou, Qing Chang, Nilanjan Chakraborty, and Junfeng Wang. IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2017.2710259, 2017.
Cost Analysis and Fuzzy Control for Collapsible Container Usage Based on Closed-Loop Supply Chain Model Xinyan Ou, Jorge Arinez, Qing Chang and Guoxian Xiao, Journal of Manufacturing Science and Engineering 139.8 (2017): 081005.
Opportunity Window for Energy Saving and Maintenance in Stochastic Production Systems Jing Zou, Jorge Arinez, Qing Chang and Yong Lei, Journal of Manufacturing Science and Engineering, Vol 138, No. 12, pp. 121009, 2016.
Event Based Supervisory Control for Energy Efficient Manufacturing Systems Yang Li, Qing Chang, Jun Ni, Michael P. Brundage, IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2016.2585679, 2016
Implementing a Real-Time, Energy-Efficient Control Methodology to Maximize Manufacturing Profit Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez and Guoxian Xiao, Systems, Man, and Cybernetics: Systems, IEEE Transactions on, doi:10.1109/TSMC.2015.2450679, 2015.
Data-driven Analysis of Downtime Impacts in Parallel Production Systems Yang Li, Qing Chang, Guoxian Xiao, and Jorge Arinez, IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2015.2443111, 2015.
Fault Location for the Intermittent Connection Problems on CAN Networks Yong Lei, Haibo Xie, Yong Yuan, Qing Chang, IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2015.2442518, June 2015.
Sustainable Manufacturing Performance Indictors for a Serial Production Line Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez and Guoxian Xiao, IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2014.2373821, December 2014.
Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control Yang Li, Qing Chang, Michael Brundage, Stephan Biller, Jorge Arinez and Guoxian Xiao, Systems, Man, and Cybernetics: Systems, IEEE Transactions on, doi: 10.1109/TSMC.2014.2316268, Vol 45, Issue 1, pp 109-121, Jan 2015.
Event Based Modeling of Distributed Sensor Networks in Battery Manufacturing Yang Li, Qing Chang, Stephan Biller, Guoxian Xiao, International Journal of Production Research, doi: 10.1080/00207543.2013.874606, Vol 52, Issue 14, 2014.