best365英国体育在线博∕硕士导师信息表

　　姓　　名:

　　陈昆

　　性　　别:

　　男

　　出生年月:

　　1985.10

　　职　　称:

　　副教授

　　学历学位:

　　研究生/博士

　　联系方式:

　 kunchen@whut.edu.cn

  硕士招生方向:

　　研究方向:

　　脑机接口，生理信号处理，人工智能

主要学术经历:

2019-9至今, 武汉理工大学, best365英国体育在线, 副教授

2016-11至2019-9, 武汉理工大学, best365英国体育在线, 讲师

2018-7至2019-4, 英国卡迪夫大学, 博士后

2014-10至2016-10, 武汉理工大学, 博士后

2012-9至2013-9, 新西兰奥克兰大学，联合培养博士研究生

2010-9至2015-1, 武汉理工大学, 信息与通信工程, 博士

2008-9至2011-6, 武汉理工大学, 通信与信息系统, 硕士

2004-9至2008-6, 武汉理工大学, 电子信息工程, 学士

主要学术成果:

主要学术成果：

[1] Kun Chen, Tianli Xie, Li Ma*, Andrew E. Hudson, Qingsong Ai, Quan Liu. A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022, 30, 2077-2087. (SCI)

[2] Qingsong Ai, Mengyuan Zhao, Kun Chen, Xuefei Zhao, Li Ma*, Quan Liu. Flexible coding scheme for robotic arm control driven by motor imagery decoding. Journal of Neural Engineering. 2022. (SCI)

[3] Xuefei Zhao, Dong Liu, Li Ma*, Quan Liu, Kun Chen, Shane Xie, Qingsong Ai. Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG Classification. Biomedical Signal Processing and Control. 2022, 72(2022), 103338. (SCI)

[4] Quan Liu, Wenhao Zheng, Kun Chen*, Li Ma, Qingsong Ai. Online Detection of Class-Imbalanced Error-Related Potentials Evoked by Motor Imagery. Journal of Neural Engineering. 2021, 18(4), 046032. (SCI)

[5] Quan Liu, Yang Liu, Kun Chen*, Lei Wang, Zhilei Li, Qingsong Ai, Li Ma. Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection. Entropy. 2021, 23(4), 457. (SCI)

[6] Qingsong Ai, Anqi Chen, Kun Chen*, Quan Liu, Tichao Zhou, Sijin Xin*, Ze Ji. Feature Extraction of Four-Class Motor Imagery EEG Signals Based on Functional Brain Network. Journal of Neural Engineering. 2019, 12(6), 026032. (SCI)

[7] Aiming Liu, Kun Chen*, Quan Liu, Qingsong Ai, Yi Xie, Anqi Chen. Feature Selection for Motor Imagery EEG Classification Based on Firefly Algorithm and Learning Automata. Sensors. 2017, 17, 2576. (SCI)

[8] Qingsong Ai, Yanan Zhang, Weili Qi, Quan Liu, Kun Chen*, Research on Lower Limb Motion Recognition Based on Fusion of sEMG and Accelerometer Signals, Symmetry, 2017, 9(8), 147 (SCI)

[9] Kun Chen, Fei Xu*, Quan Liu, Haojie Liu, Yang Zhang, Li Ma, Qingsong Ai. SSVEP Recognition by Using Higher Harmonics Based on MUSIC, Journal of Computing and Information Science in Engineering, 2016, 16(4), 041005. (SCI)

[10] Kun Chen, Quan Liu*, Qingsong Ai, Zude Zhou, Sheng Quan Xie, Wei Meng. A MUSIC-based Method for SSVEP Signal Processing, Australasian Physical & Engineering Sciences in Medicine, 2016, 39(1), 71-84. (SCI)

[11]Quan Liu, Kun Chen*, Qingsong Ai, Sheng Quan Xie. Review: Recent Development of Signal Processing Algorithms for SSVEP-based Brain Computer Interfaces, Journal of Medical and Biological Engineering, 2014, 34(4), 299-309. (SCI)

[12]Ziming Hong, Qingsong Ai, Kun Chen, Line-laser-based Visual Measure for Pavement 3D Rut Depth in Driving State, Electronics Letters, 2018, 54(20), 1172-1174. (SCI)

[13]Quan Liu, Li Ma, Shou-Zen Fan, Maysam F. Abbod, Qingsong Ai, Kun Chen, Jiann-Shing Shieh*, Frontal EEG Temporal and Spectral Dynamics Similarity Analysis between Propofol and Desflurane Induced Anesthesia using Hilbert-Huang Transform, BioMed Research International, 2018, 4939480. (SCI)

主要在研项目:

1.湖北省自然科学基金青年基金项目，2018CFB370，基于运动意图解码和情绪反馈的智能脑机交互研究，主持

2. 武汉理工大学自主创新研究基金项目，2017-IVA-051，面向运动康复训练的多模态脑机接口技术研究，主持

3. 国家自然科学基金面上项目，51675389，气动肌肉驱动柔性脚踝康复机器人动态建模及其机构和控制优化，参加

4. 国家自然科学基金面上项目，51475342，基于sEMG信号的下肢康复机器人肌力预测模型与交互式自适应阻抗控制研究，参加

5. 新西兰皇家学会项目，SSVEP-based Brain Computer Interface，参加