Li Wei

Associate Professor

Phone: 86-18971142368


Academic Areas: Brain Connectivity,Medical Image Processing,Neural Signal Analysis,BCI System Design

Research Interests:


Wei Li is an associate professor of Department of Intelligent Science and Technology, School of Automation. She is a member of Education Ministry Key Laboratory of Image Processing and Intelligent Control.

Professor Li

Academic Degrees

Sept. 1993-June 1997 Huazhong University of Science and Technology B.S. in Industry Automation
Sept. 1997-June 2000 Huazhong University of Science and Technology M.S. in Control Theory and Control Engineering
Sept.2000-June 2003 Huazhong University of Science and Technology Ph.D. in Control Science and Engineering

Professional Experience

Jan. 2005- present: Associate Professor, School of Automation, Education Ministry Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology.
Dec. 2006 –Jan. 2008:Visiting Scholar, Department of Automatic Control, Sheffield University.
July. 2003-Jun. 2004:Post Doctorate Fellow, Mechanical Science and Engineering School, Huazhong University of Science & Technology.

Selected Publications

1.Wei Li; Jiang Xu; Xi Chen; Jiping He; Yue Huang, "Phase Synchronization Between Motor Cortices During Gait Movement in Patients With Spinal Cord Injury," in Neural Systems and Rehabilitation Engineering, IEEE Transactions on , vol.24, no.1, pp.151-157, Jan. 2016

2.Wei Li, Miao Wang, Yapeng Li, Yue Huang, and Xi Chen, “A Novel Brain Network Construction Method for Exploring Age-Related Functional Reorganization,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 2429691, 15 pages, 2016. doi:10.1155/2016/2429691

3.Wei Li, Yapeng Li, Chunhong Hu, Xi Chen, Hui Dai*, Point process analysis in brain networks of patients with diabetes, Neurocomputing, 2014,145:182–189

4.Yapeng Li, Yuanyuan Qin, Xi Chen,Wei Li*, Exploring the Functional Brain Network of Alzheimer’s Disease. PLoS ONE, 8(9): e73186, 2013

5.Li W., Huang Y., Li Y., Chen X.*, Brain network evolution after stroke based on computational experiments. PLoS ONE, 8(12): e82845, 2013

6.Li Wei, Li Yapeng, Zhu Wenzhen, Chen Xi*, Changes in brain network connectivity after stroke: A functional network connectivity analysis. Neural Regeneration Research , 9(1): 51-60, 2014

7.LIU Qiong, FAN Zheng-wei, ZHANG Chao-yong et al. Resequencing Problem of Mixed Model Assembly Line Cased by Material Unkitting. Computer Integrated Manufacturing Systems.2014.7(20):1608-1614

8.Li Wei*, Zhang Kun and Chen Xi,A new fault diagnosis method for cold test based on frequency analysis,Int. J. Modelling, Identification and Control, Vol. 18, No. 2, 2013:146-157.

Courses Taught

For Undergraduates:
Automatic Control Theory
Pattern Recognition


Current Research Projects:

1. Jan. 2015-Dec.2018: National Natural Science Foundation of China(Grant NO. 61473131): “Brain Network Evolution Modeling and Neural Function Evaluation of On-going Neural Alterations in AD”.
2. 2015-2016:The Fundamental Research Funds for the Central Universities, (HUST): “Neural Signal Processing Methods Based on Intelligent Prosthesis”
3. Jan. 2013-Dec.2017: 973 Programm of China(Grant NO. 2013CB329506): “Computation Theory and Method of Perception and Recognition of Brain and Machine”.
4. 2013-2017:The National Key Technology R&D Program: “The Reserch on Digital Upper Limb Motor Function Rehabilitation and Treatment Equipment ”

Finished Research Projects:
2010-2012: National Natural Science Foundation of China (Grant NO.60905024): “Motor Neural Plasticity and Motor Function Evaluation in Stroke Based on BOLD-fMRI”.
2009-2010: Special Fund of Education Ministry Key Laboratory of Image Processing and Intelligent Control:“Key Technology of Motor Control Reconstruction System Based on BCI”.

Patents and Software Copyright Registration

1 Chinese Utility Model Patent: Plantar Pressure Measurement Device, ZL 2010 2 0236906.0, Jan., 2010.

2. Chinese Software Copyright Registration: Brain Networ Evolution Platform, 0529947, March, 2013.

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