教师名录

孟建军 副教授

所在系所机器人研究所
办公电话021-34206792
通讯地址上海交通大学机械楼A928
电子邮件mengjianjunxs008@sjtu.edu.cn
个人主页 https://scholar.google.com/citations?user=Ahr8ZzsAAAAJ&hl=en

  • 教育背景

    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
  • 工作经历

    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
  • 研究方向

    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

    ******************************

    * 2019年入学的专业硕士研究生有1个名额、硕博连读有一个名额欢迎联系!

    * 2020年入学的博士研究生有一个名额,欢迎有志读博士的学生联系!

    * 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

  • 科研项目

    * 2018-2019 机械系统与振动国家重点实验室开放课题 负责人
  • 代表性论文专著

    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21篇,包含TBME封面论文1篇。

    【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.
  • 软件版权登记及专利

    *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
  • 学术兼职

    * IEEE Member in Medicine and Biology Society, IEEE Member in Robotics and Automation Society,Member of Society of Neuroscience
    * IEEE Transactions on Biomedical Engineering、IEEE Transactions on Neural System and Rehabilitation Engineering、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
  • 荣誉奖励

    * 2018 Student Award Recipient for BCI meeting
    * 2013 International Conference on Intelligent Robotics and Applications ICIRA Best Paper Award最佳论文奖
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