返回列表 发布时间:2023-06-08

张瑞


                       张瑞


                       博士,副教授

                       硕士研究生导师


                       办公室:9A403


                       Email:

               ruizhang@dgut.edu.cn





一、教育背景

2006.092010.07  南华大学,信息与计算科学,本科毕业

2010.092013.06 华南理工大学,系统工程,硕士毕业

2013.092016.06 华南理工大学,模式识别与智能系统,博士毕业


二、工作经历

2016.082019.12  东莞理工学院电子工程与智能化学院,讲师

2020.01-至今   东莞理工学院电子工程与智能化学院,副教授


三、教学工作

2016年起在东莞理工学院,主要讲授的课程有:机器人控制技术、模式识别智能控制技术等


四、主持的教学研究项目

1自动化专业核心能力课程群建设,校教改项目,30万,项目起止时间2017-2020

2. 机器人控制技术课程建设项目,校教改项目,20万,项目起止时间2020~2023


五、科学研究

主要从事脑信号处理、脑机接口、脑机协同控制、脑机交互运动功能康复等方面的研究。

(一)主持研究项目

1. 基于多模态信号脑机协调控制及其应用研究国家自然科学基金青年项目项目批准号:61703101,直接费用:25万元,项目起止时间2018.01- 2020.12

2. 脑机互适应协同控制技术与上肢运动康复研究粤港澳大湾区脑科学与类脑研究中心开放课题,项目批准号:2019015,直接费用:15万元,项目起止时间2019.11-2022.12


(二)发表的学术论文和著作

1. R. Zhang, C. Wang, S. He, C. Zhao, K. Zhang, X. Wang and Y. Li, “An Adaptive Brain-Computer Interface to Enhance Motor Recovery After Stroke,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31,pp. 2268 2278, May 2023.

2. R. Zhang, S. He, X. Yang, X. Wang, K. Li, Q. Huang, Z. Gu, Z. Yu, X. Zhang, D. Tang, Y. Li*. “An EOG-based Human Machine Interface to Control a Smart Home Environment for Patients with Severe Spinal Cord Injuries,”IEEE Transactions on Biomedical Engineering, vol. 66, no. 1,pp. 89 – 100, Jan. 2019.

3. R. Zhang, Q. Wang, K. Li, S. He, S. Qin, Z. Feng, Y. Chen, P. Song, T. Yang, Y. Zhang, Z. Yu, Y. Hu, M. Shao*, Y. Li*, “A BCI-based Environmental Control System for Patients with Severe Spinal Cord Injuries,” IEEE Transactions on Biomedical Engineering, vol. 64, no. 8,pp. 1959– 1971, Aug. 2017. (亮点论文)

4. R. Zhang, Y. Li, Y. Yan, H. Zhang, S. Wu, T. Yu, and Z. Gu, “Control of a Wheelchair in a Indoor Environment Based on a Brain computer interface and automated navigation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 1,pp. 128 – 139, Jan. 2016. (封面论文)

5. R Zhang, F. Gu, Z. Zou, T. Yu, Y. Li, Weighted Conditional Distribution Adaptation For Motor Imagery Classification, in Proc. 11th Int. Conf. image and graphics, 2021 Aug., pp.502-511.

6. R. Zhang, Y. Li, Y. Yan, H. Zhang and S. Wu, An intelligent wheelchair based on automated navigation and BCI techniques,in Proc. 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2014, pp. 1302-1305.

7. S. He, R. Zhang, Q. Wang, Y. Cheng, T. Yang, Z. Feng, Y. Zhang, M. Shao*, Y. Li*, “A P300-based Threshold-free Brain Switch and Its Application in Wheelchair Control,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 6,pp. 715– 725, July. 2016.

8. J. Pan, Y. Li, R. Zhang, Z. Gu, and F. Li, “Discrimination Between Control and Idle States in Asynchronous SSVEP-Based Brain Switches: A Pseudo-Key-Based Approach,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 21, no. 3, pp. 435–443, May 2013.

9. S. He, Y. Zhou, T. Yu, R. Zhang, Q. Huang, L. Chuai, M. Musfafa, Z. Gu, Z. Yu, H. Tan, Y.Li*. EEG- and EOG-based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-mail Client, and a File Explorer, IEEE Transactions on Neural System and Rehabilitation Engineering, vol. 28, no.2, pp. 519 - 530, Feb. 2020.

10. T. Yu, J. Xiao, F. Wang, R. Zhang, Z. Gu, A. Cichocki and Y. Li, “Enhanced motor imagery training using a hybrid BCI with feedback,” IEEE Transactions on Biomedical Engineering, vol. 62, pp. 1706 - 1717, July 2015.

11. Q. Huang, Y. Chen, Z. Zhang, S. He, R. Zhang, J. Liu, Y. Zhang, M. Shao, Y. Li*. An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries, Journal of Neural Engineering, vol. 16, no. 026021, 2019.

12. F. Wang, Y. He, J. Pan, Q. Xie, R. Yu, R. Zhang, Y. Li, “A Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection,” Scientific Reports, 2015.

13. J. Long, X. Huang, Y. Liao, X. Hu, J. Hu, S. Lui, R. Zhang, Y. Li, Q. Gong, “Prediction of post- earthquake depressive and anxiety symptoms: a longitudinal resting-state fMRI study,” Scientific Reports, 2014 (4).

14. N. Peng, R. Zhang, H. Zeng, F. Wang, K. Li, Y. Li*, X. Zhuang, Control of a nursing bed based on a hybrid brain-computer interface,in Proc. 38th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2016, pp. 1556-1559.


六、获奖与荣誉


七、指导研究生

现为东莞理工学院硕士生研究生导师,广东工业大学兼职硕士生研究生导师