Prof./Dr. Youqing Wang

Office Address

Room 508, Science and Technology Building

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China

Email

wang_youqing[at]mail.buct.edu.cn

Phone

86-10-64414261


Research Interests

Fault diagnosis and state monitoring
Fault-tolerant control
Biomedical process synthesis
Iterative learning control
Batch processes

Education Experience

09/2003~01/2008: Ph.D., Dept. of Automation, Tsinghua University
09/1999~07/2003: B.Sc., School of Mathematics & System Science, Shandong University

Work Experience

02/2010~present: Professor, College of Information Science and Technology, BUCT
08/2015~11/2015: Visiting Professor, Department of Chemical & Materials Engineering, University of Alberta
03/2009~02/2010: Senior Investigator, Dept. of Chemical Engineering, University of California, Santa Barbara (UCSB)
02/2008~12/2011: Adjunct Senior Investigator, Sansum Diabetes Research Institute, Santa Barbara
02/2008~02/2009: Postdoctoral Fellow, Dept. of Chemical Engineering, UCSB
02/2006~08/2007: Research Assistant, Dept. of Chemical Engineering, Hong Kong University of Science & Technology

Honors and Awards

ADCHEM2015 Young Author Prize, 2015
IEEE Control Systems Society Beijing Chapter Young Author Prize, 2014
CPCC Keynote Paper Award (4/700+), 2014
New Century Excellent Talents in University (sponsored by Chinese Ministry of Education), 2013
Zhang Zhong-Jun Academician Outstanding Paper Award (4/1000+), 2012
IEEE Senior Member, 2012
Beijing Nova Fellowship, 2011
Journal of Process Control Survey Paper Prize, 2011

Teaching Courses

Automatic Control Theory II
Biomedical Process Control
Lectures of Academic Frontiers

Projects

01/2014~present: National Science Foundation of China (Grant No. 61374099): Control performance assessment of iterative learning control based on two-dimensional system framework: theory and application Responsibility: Principal Investigator
01/2014~present: New Century Excellent Talents in University (Grant No. NCET-13-0652): Health state monitoring and reliable control for subjects in intensive care unit Responsibility: Principal Investigator
10/2013~present: Beijing Higher Education Young Elite Teacher Project (Grant No. YETP0505): Control performance assessment for batch processes Responsibility: Principal Investigator
01/2012~present: EFSD/CDS/Lilly Collaborative Research Program: Closing the loop for adult subjects with T1DM using learning-type model predictive control Responsibility: Principal Investigator
01/2012~present: Fok Ying-Tong Education Foundation (Grant No. 131060): Closed-loop glycemic control for ICU patients using particle swarm intelligence and predictive power Responsibility: Principal Investigator
12/2011~present: Beijing Nova Program (Grant No. 2011025): Design of artificial pancreatic beta-cell based on nonlinear model predictive control Responsibility: Principal Investigator
01/2011~12/2013: Specialized Research Fund for the Doctoral Program of Higher Education: Improve the reliability of artificial pancreas using dual-channel optimal switching control scheme Responsibility: Principal Investigator
01/2011~12/2013: National Science Foundation of China (Grant No. 61074081): Fault-tolerant control of artificial pancreas system Responsibility: Principal Investigator
04/2010~12/2011: the Fundamental Research Funds for the Central Universities (Grant No. ZZ1012): Reliable control for artificial pancreas Responsibility: Principal Investigator
04/2010~2013/11: Outstanding Talents Recruiting Plan in BUCT: Modeling, control, and optimization of biomedical processes Responsibility: Principal Investigator

Academic Service

Associate Editor of Multidimensional Systems and Signal Processing
Associate Editor of Canadian Journal of Chemical Engineering
Editor of Mathematical Problems in Engineering
Guest Editor of a special issue in Journal of Process Control
Guest Editor of a special issue in Multidimensional Systems and Signal Processing
Member of IFAC Technical Committee of Chemical Process Control
Member of IFAC Technical Committee of Biological and Medical Systems

Publications

[1]Shen, D.; Zhang, W.; Wang, Y.; Chien, C.-J. (2015): On Almost Sure and Mean Square Convergence of P-type ILC under Randomly Varying Iteration Lengths. Automatica, 63: 359-365.
[2]Tao, Y.; Shen, D.; Wang, Y.* (2015): Reliable H∞ control for uncertain nonlinear discrete-time systems subject to multiple intermittent faults in sensors or actuators. Journal of the Franklin Institute, 352: 4712-4740.
[3]Zhao, D.; Zhou, D.; Wang, Y.* (2015): Sensor fault reconstruction for a class of 2-D nonlinear systems with application to fault compensation. Multidimensional Systems and Signal Processing, 26: 1061-1080.
[4]W. Wang; H. Ma*; Y. Wang*; M. Fu. Performance analysis based on LS and EKF for localization of static target in WSNs. Ad Hoc Networks, 2014, 25: 1-15.
[5]Y. Wang*; M. Fang; X. Jiang; B. W. Bequette; H. Xie. Intensive insulin therapy for critically ill subjects based on direct data-driven model predictive control. Journal of Process Control, 2014, 24(5): 493-503.
[6]Y. Wang*; J. Fan; Y. Yao. Online monitoring of multivariate processes using higher-order cumulants analysis. Industrial & Engineering Chemistry Research, 2014, 53(11): 4328-4338.
[7]Y. Wang*; H. Xie; B. Liu; X. Jiang. Intelligent closed-loop insulin delivery systems for ICU patients. IEEE Journal of Biomedical and Health Informatics, 2014, 18(1): 290-299.
[8]J. Fan; Y. Wang*. Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis. Information Sciences, 2014, 259: 369-379.
[9]J. Fan; S. J. Qin; Y. Wang*. Online monitoring of nonlinear multivariate industrial processes using filtering KICA-PCA. Control Engineering Practice, 2014, 22: 205-216.
[10]T. Liu; Y. Wang. A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes. Automatica, 2012, 48(11): 2762-2775.
[11]Y. Wang; H. Zisser; E. Dassau; L. Jovanovi?; F.J. Doyle III. Model predictive control with learning-type set-point: application to artificial pancreatic beta-cell. AIChE Journal, 2010, 56(6): 1510-1518.
[12]Y. Wang; E. Dassau; F.J. Doyle III. Closed-loop control of artificial pancreatic beta-cell in type 1 diabetes mellitus using model predictive iterative learning control. IEEE Trans. Biomedical Engineering, 2010, 57(2): 211-219.
[13]Y. Wang; F. Gao; F.J. Doyle III. Survey on iterative learning control, repetitive control, and run-to-run control. Journal of Process Control, 2009, 19(10): 1589-1600.
[14]Y. Wang; J. Shi; D. Zhou; F. Gao. Iterative Learning Fault-tolerant control for batch processes. Industrial & Engineering Chemistry Research, 2006, 45(26): 9050-9060.