ZHENG Ying isa Professor, doctoral tutor in Huazhong University of Science and Technology, IEEE Senior member, a member of Technical Committee on fault diagnosis of Chinese Association of automation, a director in Hubei Association of automation, and program committee members and session (co)chairs in a number of academic conferences.
She has been selected to be supported by the Outstanding Talent Fund in Hubei Province and has won a Second Class Hubei Natural Science Award. The applicant undertook 3 National Natural Science Foundations, participated sub-project of the national 973 projects as a second director and was in charge of the sub-project of the key project from the National Natural Science Foundation. She has published over 100 papers on international top journals and conferences such as IEEE Trans, JPC, etc, in which 40 papers are currently indexed by SCI. She has 20 granted Chinese invent patents.
Her research interests include industrial process monitoring, data analysis, fault diagnosis, Health management, process control.
● B.S. 09.1993—06.1997
Huazhong University of Science and Technology in Industrial Electric Automation
● M.S. 09.1997—06.2000
Huazhong University of Science and Technology in Control Theory and Control Engineering
● Ph.D 09.2000—06.2003
Huazhong University of Science and Technology in Control Theory and Control Engineering
● Professor 11/2010—present
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, P.R.China.
Research region: Process monitoring, fault diagnosis, process control
● Teacher 07/1997—present
Department of Control Science and Engineering, Huazhong University of Science and Technology, P.R.China.
Research region: Fault diagnosis, Modeling and analysis, control theory
● Visiting scholar 12/2014—12/2015
Viterbi School of Engineering, University of Southern California, USA
Research region: Process monitoring
● Postdoctoral Research Associate 12/2004—03/2006
Department of Chemical Engineering, National Tsinghua University, Taiwan (advisor: Prof. Shi-Shang Jang and Prof. David Shan Hill Wong)
Research region: Process control
 Yang Wang,Ying Zheng, Zhaojing Wang, Weidong Yang. Time-weighted kernel sparse representation based real-time nonlinear multimode process monitoring, E IEEE Transaction on Industrial Informatics, in press.
 Qiuhui Ma,Ying Zheng, Weidong Yang, Yong Zhang, Hong Zhang. Remaining useful life prediction of lithium battery based on capacity regeneration point detection, Energy,2021, 234: 121233.
 Ying Zheng, Wei Zhou, Weidong Yang, Lang Liu, Yuanle Liu, Yong Zhang. Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and Multidimensional RBC, Journal of Process Control,2021, 101: 68-77.
 Xiaoyu Yang, David Shan-Hill Wong,Ying Zheng, Yong Zhang, Weidong Yang, Jia-Lin Kang. A universal LPC health monitoring method for rolling element bearings with ADSCI feature, Measurement, 2021, 176, 108969.
 Tao Zhang,Ying Zheng, Zhihua Chen, Zhonghua Deng. A Direct-Decoupling Closed-Loop Control Method for Roll-to-Roll Web Printing Systems, IEEE Transaction on Automation Science and Engineering, 2021, in press.
 Zhihua Chen, Tao Zhang,Ying Zheng, David Shan-Hill Wong, Zhonghua Deng. Fully Decoupled Control of the Machine Directional Register in Roll-to-Roll Printing System, IEEE Transactions on Industrial Electronics, 2021, 68(10): 10007-10018.
 Zhaojing Wang,Ying Zheng, David Shan-Hill Wong. Trajectory-based operation monitoring of transition procedure in multimode process, Journal of Process Control, 2020, 96: 67-81.
 Ying Zheng, Lang Liu, Wei Zhou, Weidong Yang, David Shan-Hill Wong. Between-class difference analysis based multidimensional RBC for multivariate fault isolation of industrial processes, Journal of the Taiwan Institute of Chemical Engineers, 2020, 115: 1-12..
 Ying Zheng, Yang Wang, Haolan Yan, Yan Wang, Weidong Yang, Bo Tao. Density Peaks Clustering-based Steady/Transition Mode Identification and Monitoring of Multimode Processes, The Canadian Journal of Chemical Engineering, 2020, 98: 2137–2149.
 Zhihua Chen,Ying Zheng, Tao Zhang, David Shan-Hill Wong, Zhonghua Deng. Modeling and Register control of the Speed-up Phase in Roll-to-Roll Printing Systems,IEEE Transaction on Automation Science and Engineering, 2019, 16(3): 1438-1449.
 Ying Zheng, Ziwei Liu, Weidong Yang, Bo Tao, Yanwei Wang. Parallel projection to latent structures for quality-relevant process monitoring, Journal of the Taiwan Institute of Chemical Engineers, 2017, 80: 76-84
 Dan Ling,Ying Zheng,Hong Zhang, Bo Tao,Yanwei Wang. Detection of Model-plant Mismatch in Closed-loop Control System, Journal of Process Control,2017, 57: 66-79.
 Ying Zheng, Dan Lin,Yanwei Wang, Shi-Shang Jang, Bo Tao. Model Quality Evaluation in Semiconductor Manufacturing Process with EWMA Run-to-Run Control,IEEE Transactions on Semiconductor Manufacturing, 2017, 30(1):8-16.
 Ying Zheng, Simin Mao, Shujie Liu, David Shan-Hill Wong, Yan-Wei Wang. Normalized Relative RBC Based Minimum Risk Bayesian Decision Approach for Fault Diagnosis of Industrial Process, IEEE Transactions on Industrial Electronics,2016, 63(12): 7723-7732.
 Zhihua Chen,Ying Zheng, Minjing Zhou, David Shan-Hill Wong, et al. Model-based feedforward register control of roll-to-roll web printing systems, Control Engineering Practice, 2016, 51: 58-68.
 Chengjie Xu,Ying Zheng, Housheng Su, Michael Z. Q. Chen, Changfan Zhang. Cluster consensus for second-order mobile multi-agent systems via distributed adaptive pinning control under directed topology, Nonlinear Dynamics, 2016, 83:1975–1985.
 Ying Zheng, Yan Wang, David Shan Hill Wong, Yanwei Wang. A time series model coefficients monitoring approach for controlled processes, Chemical Engineering Research and Design, 2015, 100: 228-236.
 Chengjie Xu,Ying Zheng, Housheng Su, Hong-bin Zeng. Containment for linear multi-agent systems with exogenous disturbances, Neurocomputing, 2015, 160: 206–212.
 Chengjie Xu,Ying Zheng, Housheng Su, Hua O. Wang.Containment control for coupled harmonic oscillators with multiple leaders under directed topology, International Journal of Control. 2015,88(2): 248–255.
 Ying Zheng, David Shan-Hill Wong,Yanwei Wang, Huajing Fang. Takagi& Sugeno Model Based Analysis of EWMA RtR Control of Batch Processes With Stochastic Metrology Delay and Mixed Products, IEEE Transactions on Cybernetics, 2014, 44(7): 1155-1168.
 Yan Wang,Ying Zheng, Huajing Fang,Yanwei Wang.ARMAX model based run-to-run fault diagnosis approach for batch manufacturing process with metrology delay,International Journal of Production Research, 2014,52(10): 2915–2930.
 Chengjie Xu, Ying Zheng, Housheng Su, Changfan Zhang, Michael Z.Q. Chen.Necessary and sufficient conditions for distributed containment control of multi-agent systems without velocity measurement,IET Control Theory Appl.,2014, 8(16): 1752–1759.
 Ying Zheng, Bing Ai, David Shan-Hill Wong, Shi-Shang Jang, et al. An EWMA algorithm with a cycled resetting (CR) discount factor for drift and fault of high-mix Run-To-Run Control, IEEE Transaction on Industrial Informatics, 2010, 6(2): 229-242.
 Bing Ai,Ying Zheng, Yanwei Wang, Shi-Shang Jang, Tao Song. Cycle forecasting EWMA (CF-EWMA) approach for drift and fault in mixed-product run-to-run process,Journal of Process Control, 2010, 20: 689-708.
 Bing Ai,Ying Zheng, Shi-Shang Jang, et al.The optimal drift-compensatory and fault tolerant approach for mixed-product run-to-run control,Journal of Process Control, 2009, 19: 1401-1412.
 Ying Zheng, Chen-Wei Yeh, Chi-Da Yang, Shi-Shang Jang, I-Ming Chu.On the local optimal solutions of metabolic regulatory networks using information guided genetic algorithm approach and clustering analysis, Journal of Biotechnology, 2007, 131: 159-167.
 Ying Zheng, Huajing Fang, Hua O. Wang.Takagi-Sugeno Fuzzy Model-Based Fault Detection for Networked Control Systems with Markov Delays, IEEE Transactions on System, Man and Cybernetics, Part B: Cybernetics, 2006, 36(3): 924-929.
 Ying Zheng, Qwan-Han Lin, David Shan-Hill Wong, Shi-Shang Jang, Keung Hui. Stability and Performance Analysis of Mixed Product Run-to-run Control, Journal of Process Control, 2006, 16: 431-443.
 Ying Zheng, Huajing Fang, Linbo Xie, Hua O.Wang. An Observer-based Fault Detection Approach for Networked Control system, Dynamics of Continuous Discrete and Impulsive System - Series B - Applications & Algorithms,2003, SI: 416-421.
Awards and Honors
1) Second Class Hubei Natural Science Award
2) Supervisor award for outstanding bachelor thesis in Hubei
For Undergraduates: l
Statistical Data Analysis
1) Chinese National Science Foundation under Grant 61474139 ----“Fault diagonosis of multimode industrial process based on machine learning and statistical analysis method” (2018.1-2021.12, Project Manager).
2) Chinese National Science Foundation under Grant 61474139 ----“Process Monitoring and Process Monitoring of Mixed-product Batch Process with Run-to-run Controller” (2014.1-2017.12, Project Manager).
3) Chinese National Science Foundation under Grant 61074075 ----“Data-based Run-to-run Fault-tolerant Control of Semiconductor Manufacturing Process with Metrology Delay” (Project Manager).
4) Chinese National Science Foundation Key Project under Grant 61034006 ----“Data-based Fault Prognosis and Health Management of Complicated Engineering System”
5) Chinese National Science Foundation under Grant 606040304 ----“Fault-tolerant Run-to-run Control Method Research of Mixed Product System” (Project Manager).
6) Hubei National Science Foundation under Grant 2005ABA252 ----“Fault Tolerant Research of MIMO System in Wireless Network Environment” (Project Manager)
7) Chinese National Science Foundation under Grant 60274014 ----“Fault Diagnosis and Fault Tolerant Control of Networked Control System” (Project group member).
8) Chinese National Science Foundation under Grant 60874053 ----“Fault Diagnosis and Safety of Complicated Networked Control System” (Project group member).
9) Chinese Doctoral Foundation under Grant 20020487006 ----“Fault Diagnosis and Fault Tolerant Control of Networked Control System” (Project group member).
10) China Education Ministry’s Key Laboratory Foundation for Intelligent Manufacture Technology under Grant Imtsu-2002-03 (Project group member).