Curriculum Vitae –Asso. Prof. Dr. Qi Yuan
Date of Birth: 14 October, 1986
Nationality: Chinese
Present address
School of Physics and Electronics, Shandong Normal University, Jinan 250358, P. R. China
Email: yuanqi@sdnu.edu.cn
Education
l Shandong University, P.R. China, Ph. D student in Signal and Information Processing, Sep. 2009- Jun. 2014
l Tianjin University of Technology and Education, B.Eng. student in Electronic Information Engineering, Sep. 2005- Jun. 2009
Working Experience
l School of Physics and Electronics, Shandong Normal University, Jinan 250358, P. R. China, Associate Professor, Jan. 2020-Present
l School of Computer Science, Faculty of Engineering, The University of Sydney, Australia, Visiting Researcher, Jan. 2020- Jan. 2021
l School of Information Technologies, Faculty of Engineering, The University of Sydney, Australia, Visiting Researcher, Jul. 2018- Dec. 2018
l School of Physics and Electronics, Shandong Normal University, Jinan 250358, P. R. China, Lecturer, Sep. 2014- Dec. 2019
Award and Honours
l National Natural Science Foundation of China (Grant No. 61501283)
l Shandong Provincial Natural Science Foundation, China (Grant No. ZR2015PF012)
l Chinese Government Scholarship to sponsor my study in Australia as a Visiting Scholar during January 2020 to January 2021 (CSC NO. 201908370027)
l Two-class General Financial Grant from the China Postdoctoral Science Foundation (Grant No. 2015M582129)
l Excellent Teaching Award during 2015-2016 academic year in Shandong Normal University
l Title of Outstanding Graduate of Shandong University in 2014
l National Scholarship for doctoral students in 2012 (No. 05085)
Research fields
Biomedical signal processing; Automatic EEG analysis and processing; Epileptic seizure detection and prediction; Pattern recognition; Machine learning
Selected papers published in refereed international journals
1. Jiazheng Zhou, Li Liu, Yan Leng, Yuying Yang, Bin Gao, Zonghong Jiang, Weiwei Nie*, Qi Yuan*. Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic. International Journal of Neural Systems, 2022, 32(6): 2250017. (SCI)
2. Bin Gao, Jiazheng Zhou, Yuying Yang, Jinxin Chi, Qi Yuan*. Generative adversarial network and convolutional neural network-based EEG imbalanced classification model for seizure detection. Biocybernetics and Biomedical Engineering, 2022, 42(1): 1-15. (SCI)
3. Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan*, Qi Yuan*. Scalp EEG classifcation using deep Bi-LSTM network for seizure detection. Computers in Biology and Medicine, 2020, 124: 103919. (SCI)
4. Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang*, Qi Yuan*. Epileptic seizure detection with EEG textural features and imbalanced classification based on EasyEnsemble learning. International Journal of Neural Systems, 2019, 29(10): 1950021. (SCI)
5. Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan*. Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical & Biological Engineering & Computing, 2019, 57: 205-219. (SCI)
6. Qi Yuan, Weidong Zhou, Fangzhou Xu, Yan Leng, Dongmei Wei. Epileptic EEG Identification via LBP Operators on Wavelet Coefficients. International Journal of Neural Systems, 2018, 28(8): 1850010. (SCI)
7. Qi Yuan, Weidong Zhou, Liren Zhang, Fan Zhang, Fangzhou Xu, Yan Leng, Dongmei Wei, Meina Chen. Epileptic seizure detection based on imbalanced classification and wavelet packet transform. Seizure-European Journal of Epilepsy, 2017, 50: 99-108. (SCI)
8. Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia. Epileptic EEG classification based on kernel sparse representation. International Journal of Neural Systems, 2014, 24(4): 1450015. (SCI)
9. Qi Yuan, Weidong Zhou, Yinxia Liu, Jiwen Wang. Epileptic seizure detection with linear and nonlinear features. Epilepsy & Behavior, 2012, 24(4): 415-421. (SCI)
10. Qi Yuan, Weidong Zhou, Jing Zhang, Shufang Li, Dongmei Cai, Yanjun Zeng. EEG classification approach based on the extreme learning machine and wavelet transform. Clinical EEG and Neuroscience, 2012, 43(2): 127-132. (SCI)
11. Qi Yuan, Weidong Zhou, Shufang Li, Dongmei Cai. Epileptic EEG classification based on extreme learning machine and nonlinear features. Epilepsy Research, 2011, 96(1-2): 29-38. (SCI)
12. Fangzhou Xu, Weidong Zhou, Yilin Zhen, Qi Yuan, Qi Wu. Using fractal and local binary pattern features for classification of ECOG motor imagery tasks obtained from the right brain hemisphere. International Journal of Neural Systems, 2016, 26(6): 1650022. (SCI)
13. Shasha Yuan, Weidong Zhou, Qi Yuan, Xueli Li, Qi Wu, Xiuhe Zhao, Jiwen Wang. Kernel collaborative representation-based automatic seizure detection in intracranial EEG. International Journal of Neural Systems, 2015, 25(2): 1550003. (SCI)
14. Yudan Xia, Weidong Zhou, Chengcheng Li, Qi Yuan, Shujuan Geng. Seizure detection approach using S-transform and singular value decomposition. Epilepsy & Behavior, 2015, 52: 187-193. (SCI)
15. Aiyu Yan, Weidong Zhou, Qi Yuan, Shasha Yuan, Qi Wu, Xiuhe Zhao, Jiwen Wang. Automatic seizure detection using Stockwell transform and boosting algorithm for long-term EEG. Epilepsy & Behavior, 2015, 45: 8-14. (SCI)
16. Yanli Zhang, Weidong Zhou, Shasha Yuan, Qi Yuan. Seizure detection method based on fractal dimension and gradient boosting. Epilepsy & Behavior, 2015, 43: 30-38. (SCI)
17. Yanli Zhang, Weidong Zhou, Qi Yuan, Qi Wu. A low computation cost method for seizure prediction. Epilepsy Research, 2014, 108(8): 1357-1366. (SCI)
18. Shasha Yuan, Weidong Zhou, Qi Yuan, Yanli Zhang, Qingfang Meng. Automatic seizure detection using diffusion distance and BLDA in intracranial EEG. Epilepsy & Behavior, 2014, 31: 339-345. (SCI)
19. Yu Wang, Weidong Zhou, Qi Yuan, Xueli Li, Qingfang Meng, Xiuhe Zhao, Jiwen Wang. Comparison of ictal and interictal EEG signals using fractal features. International Journal of Neural Systems, 2013, 23(6): 1350028. (SCI)
20. Weidong Zhou, Yinxia Liu, Qi Yuan, Xueli Li.Epileptic seizure detection using lacunarity and bayesian linear discriminant analysis in intracranial EEG. IEEE Transactions on Biomedical Engineering,2013, 60(12): 3375-3381.(SCI)
21. Shufang Li, Weidong Zhou, Qi Yuan, Yinxia Liu. Seizure prediction using spike rate of intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013, 21(6): 880-886.(SCI)
22. Shufang Li, Weidong Zhou, Qi Yuan, Shujuan Geng, Dongmei Cai. Feature extraction and recognition of ictal EEG using EMD and SVM. Computers in Biology and Medicine, 2013, 43(7): 807-816. (SCI)
23. Yinxia Liu, Weidong Zhou, Qi Yuan, Shuangshuang Chen. Automatic seizure detection using wavelet transform and SVM in long-term intracranial EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2012, 20(6): 749-755. (SCI)
24. Geng Shujuan, Zhou Weidong, Yuan Qi, Cai Dongmei, Zeng Yanjun. EEG non-linear feature extraction using correlation dimension and Hurst exponent. Neurological Research, 2011, 33(9): 908-912. (SCI)
