讲师/助理研究员

孟佳圆

职称:讲师

邮箱:mengjiayuan@tju.edu.cn

电话:022-83612122

地址:天津大学医工院办公楼107室

个人简介

孟佳圆,1992年出生于黑龙江省齐齐哈尔市,博士,2020年于天津大学获得博士学位,并留校任职。

教育背景

2015.09-2020.11,天津大学,博士(直博).

2011.09-2015.06,天津大学,本科.


工作经历

2020.11至今, 天津大学精密仪器与光电子工程学院,讲师

主要研究方向

主要从事神经科学与工程,预期、注意等高级认知功能的神经信号特征、机制及其在脑-机接口中的应用研究。研究兴趣为认知型脑-机接口的设计与开发。


代表性学术成果

[1]  Minpeng Xu, Jiayuan Meng (co-first author), Haiqing Yu, Tzyy-Ping Jung, Dong Ming*. Dynamic brain responses modulated by precise timing prediction in an opposing process[J]. Neuroscience Bulletin, 2021, 37(1), 70-80.

[2]  Jiayuan Meng, Minpeng Xu, Kun Wang, Qiangfan Meng, Jin Han, Shuang Liu, Dong Ming*. Separable EEG features induced by timing prediction for active brain-computer interfaces[J]. Sensors, 2020, 20(12), 3588.

[3]  Jiayuan Meng, Minpeng Xu, Peng Zhou, Feng He,Dong Ming*. EEG complexity and functional connectivity during precise timing prediction [C]// 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 2909-2912.

[4]  孟佳圆,孟强帆,许敏鹏,明东*.大脑精确计时可增强顶-枕区alpha频段能量[J]. 航天医学与医学工程,2020, 33(4): 290-297.

[5]  Qiangfan Meng, Jiayuan Meng (co-first author), Minpeng Xu*, Shuang Liu, Long Chen,Dong Ming. Single-interval timing prediction changes the signatures of alpha-band functional and effective connectivity [C]// International Conference of the IEEE Engineering in Medicine & Biology Society, 2020.

[6]  Jiayuan Meng, Jiao Liu, Hao Wang, Minpeng Xu*,Dong Ming. Prediction Deviants with Varying Degrees Induce Separable Error-Related EEG Features [C]// 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021.

[7]  Shuang Liu, Jie Guo, Jiayuan Meng, Zhijun Wang, Yang Yao, Jiajia, Yang, Hongzhi Qi, Dong Ming*. Abnormal eeg complexity and functional connectivity of brain in patients with acute thalamic ischemic stroke[J]. Computational and Mathematical Methods in Medicine, 2016, 1-9.

[8]  Shuang Liu, Jingjing Tong, Jiayuan Meng, Jiajia Yang, Xin Zhao, Feng He, Hongzhi Qi, Dong Ming*. Study on an effective cross-stimulus emotion recognition model using eegs based on feature selection and support vector machine[J]. International Journal of Machine Learning and Cybernetics, 2018, 9(5), 721-726.

[9]  Haiqing Yu, Minpeng Xu, Jiayuan Meng, Zhen Ma, Dong Ming*. Classification of auditory attention focuses during speech perception [C]. // International Conference of the IEEE Engineering in Medicine & Biology Society, 2020.

[10]  Shuang Liu, Jiayuan Meng, Jiajia Yang, Xin Zhao, Feng He, Hongzhi Qi, Dong Ming*. Within-stimulus emotion recognition may inflate the classification accuracies based on EEG signals [C]. IEEE 7th International Conference on Awareness Science & Technology (ICAST) (pp. 115-118). 2015.

[11]  Shuang Liu, Jiayuan Meng, Di Zhang, Jiajia Yang, Xin Zhao, Feng He, Hongzhi Qi, Dong Ming*. Emotion recognition based on EEG changes in movie viewing [C]. 7th International IEEE/EMBS Conference on Neural Engineering (NER). 2015: 1036-1039.

[12]  Shuang Liu, Jiayuan Meng, Xin Zhao, Jiajia Yang, Feng He, Hongzhi Qi, Peng Zhou, Yong Hu, Dong Ming. Cross-task emotion recognition using EEG measures: first step towards practical application [J]. Instrumentation, 2014(3).

[13]  Jiabei Tang, Minpeng Xu, Zheng Liu, Jiayuan Meng, Shanguang Chen, Dong Ming*. A multifocal SSVEPs-based brain-computer interface with less calibration time [C]. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 5975-5978.

[14]  刘爽, 仝晶晶, 郭冬月, 柯余锋, 孟佳圆, 陈龙, 明东*. 脑电时间效应对情绪识别模型的影响及解决措施研究[J]. 中国生物医学工程学报, 2017, 036(001):39-45.

[15]   明东, 顾斌, 蒋晟龙,刘爽, 王坤,孟佳圆,杜金刚,王春方,杨佳佳.运动相关皮质电位在运动康复领域的应用[J]. 纳米技术与精密工程, 2015(6):425-433.


科研项目

主持的项目:

1.2022.1-2024.12,国家自然科学基金青年项目, 计时预期模板的特异性脑电表征及脑-机接口编解码研究。

2.2021.5-2021.7,横向项目,基于脑电的生物反馈系统。

3.  2021.5-2021.9,横向项目,数字脑电图机。

 

参与的项目:

1. 2017.1-2019.12,国家自然科学基金, 非眼动型脑-机接口中隐性视觉空间注意的神经学模型与识别方法研究。

2.2018.10-2021.9,天津市重点项目,皮层听觉诱发电位作为复杂人工耳蜗植入儿童成效预测的标记物研究。

3. 2017.9-2020.9,天津市科技重大专项与工程,基于脑-机-体信息环路的卒中助行康复机器人基础理论与关键技术研究。

4. 2020.1-2024.12,国家自然科学基金,神经工程。

获奖情况

社会学术兼职