威尼斯娱人城官网

2005-2013 Mechanical and Electronic Engineering, Shanghai Jiao Tong University，Ph.D.
2001-2005 Mechanical and Electronic Engineering, Shanghai Jiao Tong University，B.A.
2002-2005 Mathematics and Applied Mathematics, Shanghai Jiao Tong University, Minor B.A.

2019.7 - Now Department of Mechanical Engineering, Shanghai Jiao Tong University Associate Professor
2018.2 - 2019.7 Department of Biomedical Engineering, Carnegie Mellon University，Postdoctoral research associate
2014.2 - 2018.1 Department of Biomedical Engineering, University of Minnesota Twin Cites Campus，Postdoctoral research associate

I, as an individual researcher and principal investigator, engage in revolutionizing the interaction technology between humans and machines. This technology could potentially help the patients whose moving ability was disrupted because of devastating diseases such as spinal cord injury, stroke. This lab aims to conduct innovative researches, promote the interactive technology between the human and peripheral devices, advance the understanding of our human brain. My current research interests include the following area,

Bio-mechatronics:
(1) Brain-computer interfaces (BCI)：Based on motor imagery, attentional modulation, visual evoked potential and etc.
(2) Neuromodulation and its application in BCI
(3) BCI assisted neural rehabilitation such as BCI control of an exoskeleton for rehabilitation of stroke patient

Talent students with the background of biomedical engineering, neuroscience, neural engineering, robotics, machine learning and etc. are always welcomed to contact me.

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* Each year, I plan to recruit two students who want to get Master degrees

* Students who want to get a Ph.D. in the field of BCI, Neural engineering are encouraged to apply, but I have a highly selective standard due to the limited resources

* Undergraduate students who are interested in the BCI, robotics are welcomed to contact me, we plan to recruit 3-6 undergraduate students into the lab each year

* 2018-2019 Selective Research funding of State Key laboratory of Mechanical System and Vibration MSV, PI

I have published a number of scientific journal papers in the field of robotics, biomedical engineering, neural engineering, bio-mechatronics, interdisciplinary field（such as Science Robotics, IEEE Trans. Biomedical Engineering, IEEE Trans. Neural Sys. & Rehabilitation Engineering, IEEE Journal of Biomedical Health Informatics, Journal of Neural Engineering, Scientific Reports and etc.）I have published 24 SCI-indexed journal paper，including one cover article in the TBME, 2018. I have been a co-author of the chapter - Brain-computer interfaces for the book 'Neural Engineering', 3rd Edition. The publication lists of journal papers are listed in the following,

【2020】


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

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

[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.

Journal Paper in Chinese：
[2] Meng, J. J., Sheng, X. J., Yao, L., & Zhu, X. Y. Common spatial spectral pattern for motor imagery tasks in small channel configuration. Chinese Journal of biomedical engineering, 2013, 32(5), 553-561.
[1] Guo, J.J., Meng J.J., and Ding H. ‘Multi-channel IP instrument for monitoring electric parameters.’ Electrical Measurement & Instrumentation Vol. 45 No.506 (2008): 013.

System modeling, analysis, and control (A) ME 369 (in English)

*Patent Name：Feature Extraction Approach for Brain-computer Interface motor imagery tasks in small channel configuration，Patent No: ZL201310309826.1

* Review Editor for Frontiers in Human Neuroscience and Frontiers in Neuroergonomics

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

* Member of Chinese Society of Biomedical Engineering

* Reviewers for journals including 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 and etc.

* BCI Award 2020 Jury Member

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