许弢博士简介

作者: 时间:2021-04-20 点击数:

姓名
许弢 性别 出生年月

1988.09

 

最高学位

博士

最后学历

研究生

政治面貌

群众

所在单位 智能制造学部 职务 导师职称 讲师
联系电话

13112366640

电子邮箱 

wanxiao0756@gmail.com 

指导学生专业

电子信息工程、计算机 

导师科研情况简介


学术方向:神经科学、计算神经科学、脑功能网络



科研能力:喜欢研究跨专业学科领域



科研项目:

基于dEBCVOR的小脑运动学习模拟仿真及其硬件实现(江门市科技计划项目 主持)

基于GPU与光遗传技术的小脑神经义肢研究(科研启动经费100万 主持)



科研成果(近五年):


[1] H. Wang, T. Xu, G. Lu, F. Wan, M. Deng, A. Bezerianos, C. Guan, and Y. Sun, IEEE EEG Based Driving Fatigue Detection and Biometric Authentication by CNNAttention Network, IEEE Transactions on Intelligent Transportation Systems (contribute equally + corresponding author)(under review)

[2] H. Wang, Z. Pei, L. Xu, T. Xu, A. Bezerianos, Y. Sun, and J. Li, "Performance Enhancement of P300 Detection by Multiscale-CNN," IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-12, 2021.

[3] H. Wang, F. Yan, T. Xu, H. Yin, P. Chen, H. Yue, C. Chen, H. Zhang, L. Xu, and Y. He, "Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous."

[4] Z. Wang, H. T. W. Ching, S. Huang, H. Wang, and T. Xu, "Challenges Faced by Electric Vehicle Motors and Their Solutions," IEEE Access, vol. PP, no. 99, pp. 1-1, 2020.

[5] H. Wang, X. Liu, J. Li, T. Xu, A. Bezerianos, Y. Sun, and F. Wan, "Driving Fatigue Recognition with Functional Connectivity Based on Phase Synchronization," IEEE Transactions on Cognitive and Developmental Systems, 2020.

[6] H. Wang, C. Tang, T. Xu, T. Li, L. Xu, H. Yue, P. Chen, J. Li, and A. Bezerianos, "An Approach of One-vs-Rest Filter Bank Common Spatial Pattern and Spiking Neural Networks for Multiple Motor Imagery Decoding," IEEE Access, vol. 8, pp. 86850-86861, 2020. (contribute equally)

[7] X. Liu, T. Li, C. Tang, T. Xu, P. Chen, A. Bezerianos, and H. Wang, "Emotion Recognition and Dynamic Functional Connectivity Analysis Based on EEG," IEEE Access, vol. 7, pp. 143293-143302, 2019.

[8] J. Li, Y. Si, L. Lang, L. Liu, and T. Xu, "A Spatial Pyramid Pooling-Based Deep Convolutional Neural Network for the Classification of Electrocardiogram Beats," Applied Sciences, vol. 8, p. 1590, 2018.

[9] J. Li, Y. Si, T. Xu, and S. Jiang, "Deep Convolutional Neural Network Based ECG Classification System Using Information Fusion and One-Hot Encoding Techniques," Mathematical Problems in Engineering, vol. 2018, 2018.

 [10] T. Xu, N. Xiao, X. Zhai, P. K. Chan, and C. Tin, "Real-time cerebellar neuroprosthetic system based on a spiking neural network model of motor learning," Journal of Neural Engineering, vol. 15, no. 1, p. 016021, 2018.

 

 


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