Professor

• school of life science and technology，University of Electronic Science and Technology of China，Chengdu, Sichuan, 611731, P.R. China
  Email address: liutiejun@uestc.edu.cnEducation:   

 Education  

• University of Electronic Science and Technology of China. Ph.D, Biomedical Engineering, 2008.

• University of Electronic Science and Technology of China. ME, Detection Technology and Automatic Equipment, 2001.

• University of Electronic Science and Technology of China. BE, Detection Technology and Automatic Equipment, 1999

 Work Experience (past 15 years)

• 7/2018-present: Professor, University of Electronic Science and Technology of China.

• 11/2014-present: Vice Dean, School of Life Science and Technology, University of Electronic Science and Technology of China

• 7/2011-7/2018: Associate Professor, University of Electronic Science and Technology of China.

• 9/2005-7/2010: Lecturer, University of Electronic Science and Technology of China.

• 7/1999-9/2005: Assistant, University of Electronic Science and Technology of China.

(*Corresponding author，# First author):

• Liu Tiejun#, Yao Dezhong. Removal of the ocular artifacts from EEG data using cascaded spatio-temporal processing. Computer Methods and Programs in Biomedicine. 2006, 83(2): 95-103

• Liu Tiejun#, Xu Peng, et al. The Research and Progress in The Mechanism of Motor Imagery and Its Application in Motor Rehabilitation. Progress in Biochemistry and Biophysics.2011, 38(4): 299~304

• T. Liu# et al., Cortical Dynamic Causality Network for Auditory-Motor Tasks.  IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2017, 25(8): 1092-1099

• Liu Tiejun#, et al. Key Techniques in Motor Imagery Based Brain Computer Interface. Chinese Journal of Biomedical Engineering, 2014, 33(6): 644-651. (Published in Chinese)

• Yin Gang, Liu Tiejun*. A Study of Event Related Components Decomposition Algorithm for Event-Related Potentials. Chinese Journal of Biomedical Engineering. 2010,29(3): 363- 372

• Dongrui Gao, Liu Tiejun* et al. “Effects of Various Typical    Electrodes and Electrode Gels Combinations on MRI Signal-to-noise Ratio and Safety Issues in EEG-fMRI Recording”. Biocybernetics and Biomedical Engineering，2015, 36(1):9-18

• Dongrui Gao, Tiejun Liu*, et al. An EEG Acquisition System with Dynamic DC Suppression. World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China ，IFMBE Proceedings 2013,39: 1483-1486

• Gao Dongrui, Liu Tiejun*, et al. High CMRR Full Spectrum EEG Acquisition System. Chinese Journal of Biomedical Engineering, 2015,34(6), 708~713.

• Gao Dongrui, Liu Tiejun*, et al. Research of Intelligent Speller System Based on EOG. Chinese Journal of Biomedical Engineering, 2015, 34(6): 662-669.