2019,The State University of New York at Stony Brook,Mechanical Engineering,Ph.D
2014,University of Florida,Mechanical and Aerospace Engineering,Master
2012,Huazhong University of Science and Technology,Bachelor
2019,The State University of New York at Stony Brook,Mechanical Engineering,Ph.D
2014,University of Florida,Mechanical and Aerospace Engineering,Master
2012,Huazhong University of Science and Technology,Bachelor
Production system modeling and control; Smart manufacturing
2018,IEEE CASE 2018 Student Travel Awards
2018,NSF Student Travel Award for ASME MSEC
2016,NSF Student Travel Award for ASME MSEC
2015,NSF Student Travel Award for ASME MSEC
Donghai Wang, Shun Liu, Jing Zou*, Wenjun Qiao, and Sun Jin, Flexible robotic cell scheduling with graph neural network based deep reinforcement learning, Journal of Manufacturing Systems, vol. 78, pp. 81-93, 2025.
Jing Zou, Qing Chang, Xinyan Ou, Jorge Arinez, and Guoxian Xiao, “Resilient adaptive control based on renewal particle swarm optimization to improve production system energy efficiency,” Journal of Manufacturing Systems, vol. 50, pp. 135-145, 2019.
Jing Zou, Qing Chang, Yong Lei, and Jorge Arinez, “Event-based modeling and analysis of sensor enabled networked manufacturing systems,” IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1930-1945, 2018.
Jing Zou, Qing Chang, Jorge Arinez, and Guoxian Xiao, “Production performance prognostics through model-based analytical method and recency-weighted stochastic approximation method,” Journal of Manufacturing Systems, vol. 47, pp. 107-114, 2018.
Jing Zou, Qing Chang, Yong Lei, and Jorge Arinez, “Production system performance identification using sensor data,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 255-264, 2018.
Jing Zou, Qing Chang, Jorge Arinez, and Guoxian Xiao, “Analysis and evaluation of control action end-state impact on manufacturing system future production,” IEEE Access, vol. 6, no. 1, pp. 60187-60197, 2018.
Xinyan Ou, Qing Chang, Jing Zou, Jorge Arinez, and Guoxian Xiao, “Modeling and performance diagnostics of composite work cells with gantries,” IEEE Transactions on Automation Science and Engineering, vol. 15, no. 3, pp. 1230-1242, 2018.
Jing Zou, Qing Chang, Jorge Arinez, and Guoxian Xiao, “Data-driven modeling and real-time distributed control for energy efficient manufacturing systems,” Energy, vol. 127, pp. 247-257, 2017.
Jing Zou, Qing Chang, Jorge Arinez, Guoxian Xiao, and Yong Lei, “Dynamic production system diagnosis and prognosis using model-based data-driven method,” Expert Systems with Applications, vol. 80, pp. 200-209, 2017.
Xinyan Ou, Jorge Arinez, Qing Chang, and Jing Zou, “Performance analysis of a composite work cell with a gantry and system reconfiguration,”Journal of Manufacturing Systems, vol. 45, pp. 212-221, 2017.
Jing Zou, Jorge Arinez, Qing Chang, and Yong Lei, “Opportunity window for energy saving and maintenance in stochastic production systems,” Journal of Manufacturing Science and Engineering, vol. 138, no. 12, pp.121009, 2016.
Michael P. Brundage, Qing Chang, Jing Zou, Yang Li, Jorge Arinez, and Guoxian Xiao, “Energy economics in the manufacturing industry: a return on investment strategy,” Energy, vol. 93, no. 2, pp. 1426-1435, 2015.