2005-2013 上海交通大学机械电子工程专业，博士（硕博连读）
2001-2005 上海交通大学机械电子工程专业，学士

2019.7 - 至今 上海交通大学机械与动力工程学院，副教授 ，博导
2018.2 - 2019.7 美国卡内基梅隆大学，博士后
2014.2 - 2018.1 美国明尼苏达大学双城分校生物医学工程系，博士后

本人及实验室的研究致力于变革人机接口的方式，研发先进的脑与机器交互的方式和技术，促进对脑特别是人脑的认知。具体的研究方向包含：

生机电系统学:
(1) 脑机接口系统研究：基于想象运动、注意力调制或视觉诱发
(2) 神经调控及其在脑机接口的应用
(3) 基于脑机接口的辅助、康复系统研究，如控制机械臂或外骨骼

欢迎有生物医学工程、神经科学、机器人学、机器学习背景的研究生联系学习和交流

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* 2022年已经没有名额，欢迎准备2023年入学的名额联系！


* 欢迎对脑机接口、机器人有兴趣的本科生进入课题组学习、实习，每年计划招收1-2名本科生

* 2018-2019 机械系统与振动国家重点实验室开放课题 负责人
* 2020-2021 机器人技术与系统国家重点实验室开放课题 负责人
* 2021-2023 上海交通大学“交大之星”医工交叉研究基金青年项目 参与人
* 2020-2022 上海市浦江人才计划 负责人
* 2020-2022 国家重点研发计划 子课题负责人
* 2022-2025 国家自然科学基金面上项目 负责人

在机器人学、生物医学工程、康复工程、生机电一体化和多学科交叉领域的国际权威期刊（如Science Robotics, IEEE Trans. Biomedical Engineering, IEEE Trans. Neural Sys. & Rehabilitation Engineering, IEEE Journal of Biomedical Health Informatics, Journal of Neural Engineering, Scientific Reports等）发表SCI检索论文25篇，包含TBME封面论文1篇。曾参编英文专著《Neural Engineering》 3rd Ed, Brain-computer interfaces一个章节。

【2021】

Jianjun Meng*, Zehan Wu, Songwei Li, Xiangyang Zhu, Gaze Maintenance does not affect motor imagery-based Brain-Computer Interface Performance (TBD)

Ximing Mai, Xinjun Sheng, Xiaokang Shu, Yidan Ding, Jianjun Meng* and Xiangyang Zhu*, A hybrid Bayesian Approach Combining SSVEP and EOG for An Asynchronous Brain-Computer Interface (TBD)

Shiyong Su, Guochong Chai, Jianjun Meng, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Towards optimizing the non-invasive sensory feedback interfaces in a neural prosthetic control (TBD)

Shiyong Su, Guochong Chai, Jianjun Meng, Wei Xu, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Neural and behavioral evidence for functional roles of tactile and visual feedbacks in the application of myoelectric prosthesis (TBD)

Guangye Li, Shize Jiang, Jianjun Meng, Guohong Chai, Zehan Wu, Zhen Fan, Jie Hu, Xinjun Sheng, Dingguo Zhang, Liang Chen* and Xiangyang Zhu*, Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings (TBD)

[26] Songwei Li#, Junyi Duan#, Yu Sun, Xinjun Sheng, Xiangyang Zhu and Jianjun Meng*, Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface (BCI) Practice, Frontiers in Neuroscience, 15:773790, 2021

【2020】

[25] He B., Yuan H., Meng J.J., Gao S.K., 'Brain-computer interfaces' in Neural Engineering, 3rd Edition, 2020.

[24] Suma D., Meng J., Edelman B., He B., 'Spatial-temporal aspects of continuous EEG-based neurorobotic control', Journal of Neural Engineering, 2020, 17(6) 066006.

[23] Su, S.Y., Chai, G.H., Sheng, X.J., Meng, J.J. & Zhu X.Y. ‘Contra-lateral desynchronized alpha oscillations linearly correlate with discrimination performance of tactile acuity,’ Journal of Neural Engineering, 2020, 17(4), 046041.

[22] Qi, P., Gao, L.Y., Meng, J.J., Thakor, N., Bezerianos, A., Sun, Y., ‘Effects of Rest-Break on Mental Fatigue Recovery Determined by a Novel Temporal Brain Network Analysis of Dynamic Functional Connectivity’, IEEE Transactions on Neural Systems and Rehabilitation Engineering 28.1 (2019): 62-71.

【2019】

[21] Edelman B1, Meng J.#, Suma D.#, Zurn C.*, Nagarajan E.*, Baxter B., Cline C.C. & He B. Noninvasive neuroimaging to enhance continuous neural tracking for robotic device control. Science Robotics. 4, eaaw6844 (2019). co-second author.
[20] Meng, J.J., He, B. ‘Exploring training effect in 42 human subjects using a non-invasive sensorimotor rhythm based online BCI’, Frontiers in Human Neuroscience, 13:128. 2019.
[19] Shu, X.K., Chen S.G., Meng, J.J., Yao L., Sheng X.J., Jia J., Farina D. & Zhu X. Y. Tactile Stimulation Improves Sensorimotor Rhythm-based BCI performance in Stroke Patients, IEEE Trans on Biomedical Engineering, 66(7), 2019, 1987-1995.

【2018】

[18] Meng J., Streitz, T., Gulachek, N., Suma, D. & He, B. Three-dimensional Brain-computer Interface control through simultaneous overt spatial attentional and motor imagery tasks. IEEE Trans on Biomedical Engineering, 65(11), 2018, 2417-2427. (Cover Article and Featured Story)
[17] Edelman B1#, Meng J1#, Gulachek, N., Cline, C. & He, B. Exploring cognitive flexibility with a noninvasive BCI using simultaneous steady-state visual evoked potentials and sensorimotor rhythms. IEEE Trans on Neural systems and rehabilitation engineering, 26(5), 2018, 936-947. co-first author
[16] Meng, J.J., Edelman., B.J., Olsoe, J., Jacobs, G., Zhang, S.Y., Beyko, A. & He, B. ‘A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance’, Frontiers in Neuroscience, 12 (2018): 227.

【2017】
[15] Meng, J.J., Mundahl, J., Streitz, T., Maile, K., Gulachek, N., He, J. & He, B. ‘Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance’, IEEE Access, 5 (2017): 18756-18764.

【2016】
[14] Meng, J.J., Zhang, S.Y., Bekyo, A., Olsoe, J., Baxter, B. & He, B. ‘Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp tasks’, Sci. Rep. 6, 38565 (2016).

【2015】
[13] Meng, J.J., Yao, L., Sheng, X.J. Zhang, D.G. & Zhu, X.Y. ‘Simultaneously optimizing spatial spectral features based on mutual information for EEG classification,’ IEEE Trans on Biomedical Engineering, 62(1), 2015, 227-240.
[12] Yao, L., Meng, J.J., et al. ‘A novel calibration and task guidance framework for motor imagery BCI via a tendon vibration induced sensation with kinesthesia illusion’, Journal of neural engineering, 12.1 (2015): 016005.
[11] Shu, X.K., Yao, L., Meng, J.J., Sheng, X.J., & Zhu, X.Y. ‘Visual Stimulus Background Effects on SSVEP-Based BCI Towards a Practical Robot Car Control’, International Journal of Humanoid Robotics, 12(02), (2015),1550014.

【2014】
[10] Meng, J.J., Sheng, X.J., Zhang, D.G. & Zhu X.Y. ‘Improved Semi-supervised Adaptation for a Small Training DataSet in the Brain-Computer Interface,’ IEEE Journal of Biomedical Health Informatics, 18(4), 2014, 1461-1472.
[9] Yao, L., Meng, J.J., et al. ‘Combining Motor Imagery with Selective Sensation toward a Hybrid-Modality BCI’, IEEE Trans on Biomedical Engineering, 61(8), 2014, 2304 - 2312.
[8] Sun, Y., Lim, J.L., Meng, J.J., et al. ‘Discriminative Analysis of Brain Functional Connectivity Patterns for Mental Fatigue Classification’, Annals of Biomedical Engineering, 40(10), 2014, 2084 – 2094.

【2010 - 2013】
[7] Meng, J.J., Huang, G., Zhang, D.G., & Zhu, X.Y. Optimizing Spatial Spectral Patterns jointly with Channel Configuration for Brain-Computer Interface，Neurocomputing, 2013(104), 115-126.
[6] Yao, L., Meng, J.J., et al. ‘Selective Sensation based Brain-Computer Interface via Mechanical Vibrotactile Stimulation’, Plos ONE, 2013,8(6):e64784.
[5] Liu, G., Zhang, D.G., Meng, J.J., et al.. ‘Unsupervised adaptation of electroencephalogram signal processing based on fuzzy C-means algorithm’, International Journal of Adaptive Control and Signal Processing, 2012, 26(6): 482-495.
[4] Huang, G., Zhang, D.G., Meng, J.J., et al. ‘Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model’. Neurocomputing 74(6): 1026-1034 (2011).
[3] Liu, G., Huang, G., Meng, J.J., et al. ‘A Frequency-weighted Method Combined with CSP for EEG Classification in Brain-computer Interface’, Biomedical Signal Processing and Control, 2010, 5:174-180.
[2] Liu, G., Huang, G., Meng, J.J., et al. ‘Improved GMM with Parameter Initialization for Unsupervised Adaptation of Brain-Computer Interface’, International Journal for Numerical Methods in Biomedical Engineering, 2010, 26(6): 681-691.
[1] Huang, G., Liu, G.Q., Meng, J.J., et al. ‘Model Based Generalization Analysis of Common Spatial Pattern in Brain Computer Interfaces’, Cognitive Neurodynamic, 2010, 4(3):217-223.

中文期刊论文：
[2] Meng, J. J., Sheng, X. J., Yao, L., & Zhu, X. Y. Common spatial spectral pattern for motor imagery tasks in small channel configuration. 中国生物医学工程学报, 2013, 32(5), 553-561.
[1] Guo, J.J., Meng J.J., and Ding H. ‘Multi-channel IP instrument for monitoring electric parameters.’ 电测与仪表 Vol. 45 No.506 (2008): 013.

系统模型、分析与控制(A类) 2020-2021年春 ME369 英文授课

*专利名称：少通道下运动想象脑电特征的提取方法，授权号: ZL201310309826.1
*专利名称: METHODS AND SYSTEMS FOR NONINVASIVE MIND-CONTROLLED DEVICES, Pub. No. US2021/0018896 A1
*专利名称：基于MI-SSVEP混合式脑机接口的机械臂控制方法，申请号：202110361683.3
*专利名称：一种融合表面肌电、A型超声信号和IMU的采集装置，申请号：202111038727.5
*专利名称：一种具有腕部翻转自由度的假肢手支架及其应用，申请号：202111214913.X
*软件著作权：基于多窗口在线视觉刺激的脑机接口实验软件[简称：刺激显示软件] V1.0 软件登字第8181748号

* 学术期刊Frontiers in Human Neuroscience, Frontiers in Neuroergonomics 的Review Editor

* IEEE Member in Medicine and Biology Society, IEEE Member in Robotics and Automation Society，Member of Society of Neuroscience

* 中国生物医学工程学会会员

* IEEE Transactions on Biomedical Engineering、IEEE Transactions on Neural System and Rehabilitation Engineering、IEEE Trans. on robotics, IEEE Journal of Biomedical and Health Informatics、IEEE Trans. on Neural Networks and Learning Systems、IEEE Transactions on Cybernetics、IEEE Trans. on Fuzzy Systems、ACM Computing Surveys、Scientific Reports、Frontiers in Neuroscience、Neurocomputing、Brain Topography等多个专业期刊审稿人

* BCI Award 2020 Jury Member

* Co-organizer of 2021 IROS workshop - Cognitive and social aspects of human multi-robot interaction, website: https://www.kent.edu/cae/hmrs2021

* 2021 教育部自然科学一等奖（排4）
* 2020 上海市浦江人才计划
* 2018 Student Award Recipient for BCI meeting
* 2013 International Conference on Intelligent Robotics and Applications ICIRA Best Paper Award最佳论文奖