Director, Computational Intelligence Laboratory
Department of Electrical and Computer Engineering
Building & Room:
851 S. Morgan St, MC 154, Chicago, IL 60607
Adaptive Dynamic Programming and Reinforcement Learning
Intelligent Control and Information Processing
Modeling and Control of Complex Industrial Processes
Neural Networks and Computational Intelligence
Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2005
Fellow, International Neural Network Society (INNS), 2013
Fellow, International Association for Pattern Recognition (IAPR), 2016
Editor-in-Chief, Artificial Intelligence Review, 2014-present
Editor-in-Chief, IEEE Trans. on Neural Networks and Learning Systems, 2010-2015
General Chair, 24th International Conference on Neural Information Processing, 2017
General Chair, 12th World Congress on Intelligent Control and Automation, 2016
General Chair, IEEE World Congress on Computational Intelligence, 2014
Program Chair, International Joint Conference on Neural Networks, 2008
IEEE/CCA Journal of Automatica Sinica Hsue-Shen Tsien Paper Award, 2019
IEEE SMC Society Andrew P. Sage Best Transactions Paper Award, 2018
IEEE Trans. Neural Networks and Learning Systems Outstanding Paper Award, 2018
International Neural Network Society Gabor Award, 2018
Asia Pacific Neural Network Assembly Outstanding Achievement Award, 2014
President, Asia Pacific Neural Network Society (2018)
Distinguished Lecturer, IEEE CIS, 2012-2014 and 2016-2018
University Scholar, University of Illinois, 2006-2009
CAREER Award, National Science Foundation, 1999
Harvey N. Davis Distinguished Teaching Award, Stevens Institute of Technology, 1997
Michael J. Birck Fellowship, University of Notre Dame, 1990
 D. Liu and A. N. Michel, Dynamical Systems with Saturation Nonlinearities: Analysis and Design, New York: Springer-Verlag, 1994.
 D. Liu and A. N. Michel, “Asymptotic stability of discrete-time systems with saturation nonlinearities with applications to digital filters,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, vol. 39, no. 10, pp. 798–807, Oct. 1992.
 D. Liu and A. N. Michel, “Sparsely interconnected neural networks for associative memories with applications to cellular neural networks,” IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing, vol. 41, no. 4, pp. 295–307, Apr. 1994.
 D. Liu and Z. Lu, “A new synthesis approach for feedback neural networks based on the perceptron training algorithm,” IEEE Transactions on Neural Networks, vol. 8, no. 6, pp. 1468–1482, Nov. 1997.
 D. Liu, Y. Zhang, and H. Zhang, “A self-learning call admission control scheme for CDMA cellular networks,” IEEE Transactions on Neural Networks, vol. 16, no. 5, pp. 1219–1228, Sept. 2005.
 D. Liu and Q. Wei, “Finite-approximation-error-based optimal control approach for discrete-time nonlinear systems,” IEEE Transactions on Cybernetics, vol. 43, no. 2, pp. 779–789, Apr. 2013.
 D. Liu and Q. Wei, “Policy iteration adaptive dynamic programming algorithm for discrete-time nonlinear systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 3, pp. 621–634, Mar. 2014.
 D. Liu, H. Li, and D. Wang, “Error bounds for adaptive dynamic programming algorithms for solving undiscounted optimal control problems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 6, pp. 1323–1334, June 2015.
 D. Liu, X. Yang, D. Wang, and Q. Wei, “Reinforcement-learning-based robust controller design for continuous-time uncertain nonlinear systems subject to input constraints,” IEEE Transactions on Cybernetics, vol.45, no.7, pp.1372–1385, July 2015.
 D. Liu, Q. Wei, D. Wang, X. Yang, and H. Li, Adaptive Dynamic Programming with Applications in Optimal Control, London: Springer, 2017.
Ph.D. Electrical Engineering, University of Notre Dame, 1994
M.Sc. Electrical Engineering, Institute of Automation, Chinese Academy of Sciences, 1987
B.Sc. Mechanical Engineering, East China Institute of Technology, 1982