计算机科学与技术系

Department of Computer Science and Technology

Education background

Bachelor of Computer Science & Automation, Sichuan University, Chengdu, China, 1986;

Ph.D. in Computer Science & Automation, Harbin Institute of Technology, Harbin, China, 1991.

Social service

Chinese Automation Society: Member of Board of Directors (2008-);

Chinese Automation Society: Deputy Director and Secretary-General of Intelligent Automation Committee (2003-);

National 863 High-Tech Program: Assistant Director of Advanced Robot Group (1998-2001);

CIAC 2007, 2009: Vice Conference Co-Chair and Program Committee Chair (2007-2009).

Areas of Research Interests/ Research Projects

Computational Intelligence, Computational Biology, Complex Network Theory

Robotics, Unmanned Autonomous Vehicle

Wireless Sensor Networks, Virtual Reality

National Natural Science Foundation of China: Key Technologies on Artificial Cognition and Unmanned Autonomous Vehicle Integration Platform (2009-2012);

National Natural Science Foundation of China: Large-Scale Functional Column Cortex Assembly-Like Recurrent Neural Network Model: Theory, Methodology, and Application (2008-2010);

National 863 High-Tech Program: A Comprehensive Design Strategy of Modularized Universal Robot Architecture (2007-2009);

National 863 High-Tech Program: Multi-Robot Systems for Coal-Mine Underground Disaster Inspection and Rescue (2006-2008);

Joint Project with NSF USA: Best-First Search for Sequence Alignment (2002-2003);

Joint Project with DARPA USA: CATScan: Constraint-based Techniques for NEST (2001-2002).

Research Status

The research areas of my group cover 1) robotics (UAVs, study of China's development strategies of robot techniques, service and personal robot, and BCI-based mind control of humanoid robot), 2) wireless sensor networks (WSN hardware design, ZigBee protocol network, coal-mine underground wireless communication, and e-tag personal identification), 3) computational intelligence (computational neuroscience, SHESN, fuzzy neural network, fuzzy reinforcement learning, asynchronous learning control, and biologically inspired intelligence), 4) complex network theory, 5) computational biology (ncRNA gene prediction, ncRNA folding algorithm, and gene regulatory network modeling), and 6) virtual reality. Currently, I focus on the development of a new generation of UAVs and the fundamental research of expanded SHESN with significant neurobiological characteristics.

I received the B.S. degree from Sichuan University, Chengdu, in 1986 and the Ph.D. degree from Harbin Institute of Technology, Harbin, in 1991, respectively, both in computer science and automation. From 1992 to 1994, as a postdoctoral researcher at Tsinghua University, my research interests were fuzzy neural network models, various fast BP learning algorithms, and asynchronous learning control. In 1994, I became an associate professor. From 1996 to 1997, I served as a research associate at Hong Kong Polytechnic University. During that period, I mainly worked on reinforcement learning approaches. From 2001 to 2003, I was a visiting professor at Washington University in St. Louis, where I took part in the R&D of NSF and DARPA projects related to networked embedded system technologies (NEST) and novel ncRNA gene prediction. I have been a full professor at Tsinghua University since 2000.

Honors And Awards

Science and Technology Progress Award by Ministry of Education, Second Class (1997);

Ministry of Education: The Teaching and Research Award for Outstanding Young Teachers in Higher-Education Institutions (2001);

Tsinghua University: Distinguished Postdoc Researcher Award (1997).

Academic Achievement

[1] Bo Zhang, Tianmiao Wang, Zhidong Deng, et. al. (Eds.). Historical Review, State-of-the-art, and Future Challenges: Report on Robot Development Strategy Study. Weapon Industry Press, Beijing, 2009.

[2] Zengqi Sun, Zaixing Zhang, and Zhidong Deng. Intelligent Control Theory and Technology. Tsinghua University Press, Beijing, 1997.

[3] Jianjun Niu and Zhidong Deng. Collaborative Distributed Scheduling Approaches for Wireless Sensor Network, Sensors, vol.9, no.10, pp.8007-8030, 2009.

[4] Zhongmin Pei, Zhidong Deng, Shuo Xu, and Xiao Xu. Anchor-Free Localization Method for Mobile Targets in Coal Mine Wireless Sensor Networks, Sensors, vol.9, no.4, pp.2836-2850, 2009.

[5] Dandan Song, Yang Yang, Bin Yu, Binglian Zheng, Zhidong Deng, Bao-Liang Lu, Xuemei Chen, and Tao Jiang. Computational prediction of novel non-coding RNAs in Arabidopsis thaliana, BMC Bioinformatics, vol.10, suppl.1, pp.(S36) 1-12, 2009.

[6] Xiuquan Li, Zhidong Deng, and Jing Luo. Trading strategy design in financial investment through a turning points prediction scheme, Expert Systems With Applications, vol.36, no.4, pp.7818-7826, 2009.

[7] Zhenbo Cheng, Zhidong Deng, and Bo Yang. Computational neuronal model of simple Bayesian decision-making. Science in China Series C - Life Sciences, vol.39, no.8, 783-792, 2009.

[8] Zhidong Deng and Yi Zhang. Collective behavior of a small-world recurrent neural system with scale-free distribution, IEEE Transactions on Neural Networks, vol.18, no.5, pp.1364-1375, 2007.

[9] Dandan Song and Zhidong Deng. A Fuzzy Model of Predicting RNA Secondary Structure, Science in China Series F - Information Sciences, vol.50, no.6, pp.846-866, 2007.

[10] Ying Li, Zhidong Deng, and Yanchun Liang. On multivariate wavelets with trigonometric vanishing moment, Applied and Numerical Harmonic Analysis Series: Wavelet Analysis and Applications. Springer Press, pp.125-139, 2006.

[11] Ying Li, Zhidong Deng, and Xi Zou. Approximated non-tensor pre-wavelets neural network based on compound training algorithm, Journal of Information and Computational Science, vol.2, no.4, pp.715-722, 2005.

[12] Z. D. Deng and W. X. Zhang. Localization and dynamic tracking using wireless- networked sensors and multi-agent technology, IEICE Transactions on Fundamentals, vol.E85-A, no.11, pp.2386-2395, 2002.

[13] K. Deng, L. F. Wang, Z. C. Lin, T. Feng, and Z. D. Deng. Correction and rectification of light fields, Computers & Graphics, vol.27, no.2, pp.169-177, 2003.

[14] Z. L. Ren, Z. D. Deng, and Z.Q. Sun. Cellular automaton modeling of computer network, Computer Physics Communications, vol.144, pp.243-251, 2002.

[15] Z. L. Ren, Z. D. Deng, and Z.Q. Sun. Spatio-temporal organization of a cellular automaton model for computer network, Computer Physics Communications, vol.144, pp.310-316, 2002.

[16] D. X. Shuai and Z. D. Deng. A new algebraic modeling approach to distributed problem-solving in MAS, Journal of computer Sci. and Tech., vol.17, no.4, pp.481-490, 2002.

[17] Z. L. Ren, Z. D. Deng, D. X. Shuai, and J. Gu. Ananlysis of power spectrum and 1/f type power law in a complex computer network model, Computer Physics Communications, vol.136, pp.225-235, 2001.

[18] Z. L. Ren, Z. D. Deng, Z.Q. Sun, and D. X. Shuai. Behaviours of networks with different topologies and protocols, Computer Physics Communications, vol.141, pp.247-259, 2001.

[19] D. X. Shuai, J. Gu, H. P. Gu, and Z. D. Deng. Hyper-distributed hyper-parallel self-organizing dynamic scheduling based on solitary wave, Journal of computer Sci. and Tech., vol.16, no. 5, pp.434-442, 2001.

[20] Z. Q. Sun and Z. D. Deng. A fuzzy neural network and its application to controls, Artificial Intelligence in Engineering, vol.10, no.4, pp.311-315, 1996.

[21] D. P. Kwok and Z. D. Deng. Dynamic modeling of pH-neutralization process using fuzzy neural networks, Advances in Modeling and Analysis B, vol.39, no.2, pp.51-66, 1998.