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Name: Ding Wang     Title: Associate professor     Tel: +86-10-82544517     Email: ding.wang@ia.ac.cn     Address: 95 Zhong Guan Cun East Road, Beijing, China     Zip Code: 100190

•    2009.09–2012.07, Institute of Automation, Chinese Academy of Sciences (The State Key Laboratory of Management
  
     and Control for Complex Systems), Control Theory and Control Engineering, Ph.D.
•    2007.09–2009.07, Northeastern University (College of Sciences), Operations Research and Cybernetics, M.S.
•    2003.09–2007.06, Zhengzhou University of Light Industry (Department of Mathematics), Information and Computing
  
     Science, B.S.

• 
  
     Adaptive and learning control systems, complex systems and intelligent control, neural networks and neural
  
     computing

•    2014.11–present, The State Key Laboratory of Management and Control for Complex Systems, Institute of
  
     Automation, Chinese Academy of Sciences, Associate professor
•    2012.07–2014.10, The State Key Laboratory of Management and Control for Complex Systems, Institute of
  
     Automation, Chinese Academy of Sciences, Assistant professor

•    Finalist of Excellent Doctoral Dissertation Award, Chinese Association of Automation, 2014
•    Excellent Doctoral Dissertation Award, Chinese Academy of Sciences, 2013
•    Major Contribution Award,The State Key Laboratory of Management and Control for Complex Systems, 2013
•    Best Paper Award, The 20th International Conference on Neural Information Processing, Daegu, Korea, 2013
•    Finalist of Best Student Theoretical Paper, 2013 IFAC International Conference on Intelligent Control and
  
     Automation Science, Chengdu, China, 2013
•    Finalist of AIAG Best Paper on Supply Chain Related Topics, The 10th World Congress on Intelligent Control and
  
      Automation, Beijing, China, 2012
•    Zhu Liyuehua Outstanding Doctoral Scholarship, Chinese Academy of Sciences, 2012
•    Outstanding Student, Graduate University of Chinese Academy of Sciences, 2012

•    Associate Editor, Neurocomputing, since 2015
•    Member, Institute of Electrical and Electronics Engineers (IEEE), since 2015
•    Member, IEEE Computational Intelligence Society, since 2016
•    Member, IEEE Systems, Man, and Cybernetics Society, since 2016
•    Member, Chinese Association of Automation (CAA), since 2015
•    Member, Asia-Pacific Neural Network Society (APNNS), since 2015
•    Finance Chair, 2016 World Congress on Intelligent Control and Automation, Guilin, China
•    Registration Chair, 2015 International Conference on Information Science and Technology, Changsha, China
•    Secretariat, 2014 IEEE World Congress on Computational Intelligence, Beijing, China
•    Registration Chair, 2013 International Conference on Intelligent Control and Information Processing, Beijing,
  
      China
•    Local Arrangements Chair, 2013 International Conference on Brain Inspired Cognitive Systems, Beijing, China

•  [1] D. Wang, D. R. Liu, Q. L. Wei, D. B. Zhao, and N. Jin, "Optimal control of unknown nonaffine nonlinear discrete-time
  
         systems based on adaptive dynamic programming," Automatica, vol. 48, no. 8, pp. 1825-1832, 2012.
•  [2] D. Wang, D. R. Liu, H. L. Li, B. Luo, and H. W. Ma, "An approximate optimal control approach forrobust stabilization
  
         of a class of discrete-time nonlinear systems with uncertainties," IEEE Transactions on Systems, Man, and
  
        Cybernetics: Systems, in press, 2015. DOI: 10.1109/TSMC.2015.2466191.
•  [3] D. Wang, D. R. Liu, and H. L. Li, "Policy iteration algorithm for online design of robust control for a class of
  
        continuous-time nonlinear systems," IEEE Transactions on Automation Science and Engineering, vol. 11,
  
        no. 2, pp. 627-632, 2014.
•  [4] D. Wang, D. R. Liu, H. L. Li, and H. W. Ma, "Neural-network-based robust optimal control design for a class of
  
        uncertain nonlinear systems via adaptive dynamic programming," Information Sciences, vol. 282, pp. 167-179, 2014.
•  [5] D. Wang, and D. R. Liu, "Neuro-optimal control for a class of unknown nonlinear dynamic systems using SN-DHP
  
        technique," Neurocomputing, vol. 121, pp. 218-225, 2013.
•  [6] D. Wang, D. R. Liu, D. B. Zhao, Y. Z. Huang, and D. H. Zhang, "A neural-network-based iterative GDHP approach
  
         for solving a class of nonlinear optimal control problems with control constraints," Neural Computing & Applications,
  
        vol. 22, no. 2, pp. 219–227, 2013.
•  [7] D. Wang, D. R. Liu, and Q. L. Wei, "Finite-horizon neuro-optimal tracking control for a class of discrete-time
  
         nonlinear systems using adaptive dynamic programming approach," Neurocomputing, vol. 78, no. 1, pp. 14–22, 2012.
•  [8] D. R. Liu, D. Wang, and H. L. Li, "Decentralized stabilization for a class of continuous-time nonlinear interconnected
  
        systems using online learning optimal control approach,"IEEE Transactions on Neural Networks and Learning Systems,
  
         vol. 25, no. 2, pp. 418-428, 2014.
•  [9] D. R. Liu, D. Wang, F. -Y. Wang, H. L. Li, and X. Yang, "Neural-network-based online HJB solution for optimal robust
  
        guaranteed cost control of continuous-time uncertain nonlinear systems," IEEE Transactions on Cybernetics, vol. 44,
  
        no. 12, pp. 2834–2847, 2014.
• [10] D. R. Liu, D. Wang, D. B. Zhao, Q. L. Wei, and N. Jin, "Neural-network-based optimal control for a class of
  
        unknown discrete-time nonlinear systems using globalized dual heuristic programming," IEEE Transactions on
  
        Automation Science and Engineering, vol. 9, no. 3, pp. 628–634, 2012.

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