返回列表 發布時間:2023-06-08

張瑞


                       張瑞


                       博士,副教授

                       碩士研究生導師


                       辦公室:9A403


                       Email:

               ruizhang@dgut.edu.cn





一、教育背景

2006.092010.07  南華大學,信息與計算科學,本科畢業

2010.092013.06 華南理工大學,系統工程,碩士畢業

2013.092016.06 華南理工大學,模式識别與智能系統,博士畢業


二、工作經曆

2016.082019.12  東莞理工學院電子工程與智能化學院,講師

2020.01-至今   東莞理工學院電子工程與智能化學院,副教授


三、澳门金莎

2016年起在東莞理工學院,主要講授的課程有:機器人控制技術、模式識别智能控制技術等


四、主持的教學研究項目

1自動化專業核心能力課程群建設,校教改項目,30萬,項目起止時間2017-2020

2. 機器人控制技術課程建設項目,校教改項目,20萬,項目起止時間2020~2023


五、澳门金莎

主要從事腦信号處理、腦機接口、腦機協同控制、腦機交互運動功能康複等方面的研究。

(一)主持研究項目

1. 基于多模态信号腦機協調控制及其應用研究國家自然科學基金青年項目項目批準号:61703101,直接費用:25萬元,項目起止時間2018.01- 2020.12

2. 腦機互适應協同控制技術與上肢運動康複研究粵港澳大灣區腦科學與類腦研究中心開放課題,項目批準号:2019015,直接費用:15萬元,項目起止時間2019.11-2022.12


(二)發表的學術論文和著作

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. (亮點論文)

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. (封面論文)

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、獲獎與榮譽


七、指導研究生

現為東莞理工學院碩士生研究生導師,廣東工業大學兼職碩士生研究生導師


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