2005-2013 5845cc威斯尼斯人机械电子工程专业，博士（硕博连读）
2001-2005 5845cc威斯尼斯人机械电子工程专业，学士

2019.7 - 至今 5845cc威斯尼斯人，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、上肢与机器交互的方式和技术，促进对脑、上肢外周神经特别是人脑、人体上肢的认知。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
(4) 基于肌电、超声、IMU等多源信号的生肌接口研究
(5) 基于肌电的智能假肢
(6) 基于超快超声的外周神经运动单元定位
(7) 基于图象视觉、生物传感的生物医疗检测及应用

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，2025年入学的专业硕士名额还有一名，直博和硕博连读（学术硕士）已没有名额。

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

* 欢迎对脑机接口、机器人、肌电假肢、生物医疗检测设备有兴趣的本科生进入课题组学习、实习，每年计划招收3-4名本科生

* 2023-2026 生命科学领域中机器视觉平台 负责人
* 2024-2025 智能控制器优化算法与测试 负责人
* 2023-2024 某重点课题 某控制理论与某本体集成研究 主要参与人
* 2022-2025 国家自然科学基金面上项目 负责人
* 2021-2023 国家重点研发计划 子课题负责人
* 2021-2023 5845cc威斯尼斯人“交大之星”医工交叉研究基金青年项目 主要参与人
* 2020-2022 上海市浦江人才计划 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
* 2018-2019 机械系统与振动国家重点实验室开放课题 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, National Science Review, NeuroImage, 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45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。

【2024】

Yuchen Xia#, Jianjun Meng∗#, Yuxuan Wei, Songwei Li, Ximing Mai, Ruijie Luo and Xiangyang Zhu, A Potential Field Shared Control Approach for Virtual Wheelchair Navigation via Brain-Computer Interface, (TBD)

Ruijie Luo#, Jianjun Meng#*, Yuxuan Wei, Ximing Mai, Guangye Li, Outcome processing response coupled to feedback-related EEG dynamics during discrete and continuous performance monitoring, (TBD)

Yuxuan Wei#, Jianjun Meng#*, Ruijie Luo, Ximing Mai, Songwei Li, Yuchen Xia and Xiangyang Zhu*, Action Observation with Rhythm Imagery (AORI): A Novel Paradigm to Activate Motor-Related Pattern for High-Performance Motor Decoding, (TBD)

Songwei Li#, Jianjun Meng#*, Yuxuan Wei and Xiangyang Zhu*, Vibrotactile-based Brain Switch via a Virtual Physical System Model, (TBD)

Zongtian Yin, Chen Chen, Jianjun Meng, and Xiangyang Zhu, Track the motor unit activities across movements by combining high-density surface electromyography with ultrafast ultrasound, (TBD)

Jianjun Meng#*, Songwei Li#, Guangye Li, Ruijie Luo, Xinjun Sheng, Xiangyang Zhu*, Model-Based Brain Switches via SSVEP Provide Sufficient Reliability for Daily-of-life Applications, (TBD)

Zongtian Yin, Chen Chen, Han Ding, Xiangyang Zhu and Jianjun Meng*, An Improved Blind Source Separation Algorithm for Decoding the Mechanical Spatiotemporal Responses of Motor Unitis, (TBD)

Yuxuan Wei#, Jianjun Meng#*, Ximing Mai, Ruijie Luo, Utilizing Temporal Characteristics to Enhance the EEG Motor Decoding Performance Based on Steady-State Movement-Related Rhythms, (TBD)

Jianjun Meng*, Songwei Li, Xu Wang, Ximing Mai, Yuxuan Wei, Ruijie Luo and Xiangyang Zhu*, Recent Developments of Noninvasive Brain-computer interfaces - a literature review (TBD)

[47] Jianjun Meng#*, Songwei Li#, Guangye Li, Ruijie Luo, Xinjun Sheng, Xiangyang Zhu*, A Model-based Brain Switch via Periodic Motor Imagery Modulation for Asynchronous Brain-Computer Interfaces, Journal of Neural Engineering, 2024 (Accept)

[46] Xu Wang, Yu Zheng, Fan Wang, Han Ding, Jianjun Meng*, Yan Zhuo*, Unilateral Movement Decoding of Upper and Lower Limbs Using Magnetoencephalography, Biomedical Signal Processing and Control, 2024

[45] En Lai, Songwei Li, Ximing Mai and Jianjun Meng*, High-Frequency Discrete-Interval Binary Sequence in Asynchronous c-VEP-based BCI for Visual Fatigue Reduction, IEEE Journal of Biomedical and Health Informatics, 2024

[44] Ruijie Luo, Ximing Mai and Jianjun Meng*, Effect of Motion State Variability on Error-related Potentials during Continuous Feedback Paradigms: towards Multiple Events Detection, Journal of Neuroscience Methods, 2024, 401, 109982.

[43] Ximing Mai, Jikun Ai, Minghao Ji, Xinjun Sheng, Jianjun Meng*, Xiangyang Zhu*, A Hybrid BCI Combining SSVEP and EOG and its Application for Continuous Wheelchair Control, Biomedical Signal Processing and Control, 2024, 88:105530.

【2023】

[42] Ximing Mai, Jikun Ai, Xiangyang Zhu* and Jianjun Meng*, Phase-locked Time-Shift Data Augmentation Method for SSVEP Brain-Computer Interfaces, IEEE Trans on Neural Systems and Rehabilitation Engineering, 2023, 31: 4096 - 4105.

[41] Yuxuan Wei, Xu Wang, Ruijie Luo, Ximing Mai, Songwei Li and Jianjun Meng*, Decoding movement frequency and limb based on steady-state movement-related rhythm from noninvasive EEG, Journal of Neural Engineering, 2023, 20(6), 066019.

[40] Ximing Mai, Xinjun Sheng, Xiaokang Shu, Yidan Ding, Xiangyang Zhu* and Jianjun Meng*, A Calibration-free Hybrid Approach Combining SSVEP and EOG for Continuous Control, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 3480 - 3491.

[39] Guangye Li#, Shize Jiang#, Jianjun Meng, Zehan Wu, Haiteng Jiang, Zhen Fan, Jie Hu, Xinjun Sheng, Dingguo Zhang, Gerwin Schalk, Liang Chen*, and Xiangyang Zhu*, Spatio-temporal Evolution of Human Neural Activity During Visually-cued Hand Movements. Cerebral Cortex (2023): bhad242.

[38] Jikun Ai#, Jianjun Meng*#, Ximing Mai, Xiangyang Zhu, BCI control of robotic arm based on SSVEP with moving stimuli for reach and grasp tasks. IEEE Journal of Biomedical and Health Informatics, 2023, 27(8), 3818-3829.

[37] Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, and Xiangyang Zhu*, Mapping Individual Motor Unit Activity to Continuous three-DoF Wrist Torques: Perspectives for Myoelectric Control. IEEE Trans on Neural Systems and Rehabilitation Engineering, 31 (2023): 1807-1815.

[36] 魏玉烜，江曦源，王旭，蔡正祥，江海腾*，孟建军*，脑源成像技术及其应用研究进展.《中国科学.技术科学》.(已录用)

[35] Ning Jiang*, Chen Chen, Jiayuan He, Jianjun Meng, Lizhi Pan, Shiyong Su, and Xiangyang Zhu, Bio-robotics Research for Non-invasive Myoelectric Control Neural-interfaces for Prosthetic Control - A Ten-year Perspective Review. National Science Review. 10, no. 5 (2023): nwad048.

[34] Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu*, Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography, IEEE Trans on Biomedical Engineering, 2023, 7(70):2058-2068.

【2022】

[33] Shiyong Su, Guochong Chai, Wei Xu, Jianjun Meng, Xinjun Sheng, Andre Mouraux and Xiangyang Zhu*, Neural evidence for functional roles of tactile and visual feedback in the application of myoelectric prosthesis, Journal of Neural Engineering 20, no. 1 (2023): 016038.

[32] Junyi Duan, Songwei Li, Li Ling, Ning Zhang, Jianjun Meng*, Exploring the Effects of Head Movements and accompanying Gaze Fixation Switch on steady-state visual evoked potential, Frontiers in Human Neuroscience, 16:943070, 2022

[31] Zontian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng*, Haihong Liu*, A Wearable ultrasound interface for prosthetic hand control, IEEE Journal of Biomedical and Health Informatics, 26(11), 2022, 5384-5393.

[30] Tian, S., Wang, M., Ma, H., Huang, P., Dai, N., Sun, Y., & Meng, J. Efficient tooth gingival margin line reconstruction via adversarial learning. Biomedical Signal Processing and Control, 2022(78), 103954.

[29] 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, NeuroImage, 2022(250), 118969

[28] Jianjun Meng*#, Zehan Wu#, Songwei Li, Xiangyang Zhu, Effects of Gaze Fixation on the performance of a Motor imagery-based Brain-Computer Interface , Frontiers in Human Neuroscience, 15:773603, 2022

[27] 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, Journal of Neural Engineering, 2022(19),016028

【2021】

[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.


--------------------------------------会议论文-------------------------------------------

【2023】
[16] Meng, X., Meng, J., (2024, August). A miniature programmable multichannel sensory feedback device with electrotactile and vibrotactile modalities for amputees. In: 2024 International Conference on Intelligent Robotics and Applications (Accept). Singapore: Springer Nature Singapore.

[15] Lai, E., Mai, X., Meng, J., (2023, Nov). High-performance Deep Neural Network Pretrained with Contrastive Learning for Asynchronous High-frequency c-VEP Detection. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine. (Accept)

[14] Ai, J., Mai, X., Meng, J., & Zhu, X. (2023, July). Exploring the Characteristics of Steady-state Visual Evoked Potentials Elicited by Moving Visual Flicker. In 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR) (pp. 304-309). IEEE.

[13] Li, Y., Yin, Z., Zhang, T., & Meng, J. (2023, July). Decoding Discrete Gestures Across Different Arm Positions Based on Multimodal Fusion Strategy. In International Conference on Intelligent Robotics and Applications (pp. 331-342). Singapore: Springer Nature Singapore.

[12] Ji, M., Shi, S., Zhu, M., Li, S., & Meng, J. (2023, July). A Brain-Controlled Spherical Robot Based on Augmented Reality (AR). In International Conference on Intelligent Robotics and Applications (pp. 343-352). Singapore: Springer Nature Singapore.

【2022】

[11] Zontian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng*, Haihong Liu*. Wearable Ultrasound Interface for Prosthetic Hand Manipulation. In: , et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science. Vol 13457, pp. 3-12, 2022.
[10] X. Mai, X. Sheng, X. Shu, Y. Ding, J. Meng*, and X. Zhu*, A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals for Rapid Target Recognition, Intelligent Robotics and Applications, Lecture Notes in Computer Science, pp. 760-770, 2022.

【2021】

[9] Ding, Y., Xie, P., Li, S., & Meng, J., EEG activity under different speeds and prompt types in motor imagery and motor execution. IEEE 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 175-180). November, 2021

【Before 2021】

[8] Mundahl, J., Meng, J., He, J., & He, B. (2016, August). Soft drink effects on sensorimotor rhythm brain computer interface performance and resting-state spectral power. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1520-1523). IEEE.

[7] Yao, L., Shu, X., Meng, J., Zhang, D., Sheng, X., & Zhu, X. (2013, November). Enhanced motor imagery based brain-computer interface via unilateral wrist vibrotactile stimulation. In 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 29-32). IEEE.

[6] Yao, L., Sheng, X., Meng, J., Zhang, D., & Zhu, X. (2013, July). Mechanical vibrotactile stimulation effect in motor imagery based brain-computer interface. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2772-2775). IEEE.

[5] He, J., Zhang, D., Sheng, X., Meng, J., & Zhu, X. (2013, July). Improved discrete fourier transform based spectral feature for surface electromyogram signal classification. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6897-6900). IEEE.

[4] Shu, X., Yao, L., Meng, J., Sheng, X., & Zhu, X. (2013). Visual stimulus background effects on SSVEP-based brain-computer interface. In Intelligent Robotics and Applications: 6th International Conference, ICIRA 2013, Busan, South Korea, September 25-28, 2013, Proceedings, Part I 6 (pp. 453-462). Springer Berlin Heidelberg.

[3] Dong, W. H., Meng, J., & Luo, Z. (2011, November). Real-time estimation of human's intended walking speed for treadmill-style locomotion interfaces. In 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) (pp. 14-19). IEEE.

[2] Liu, G., Huang, G., Meng, J., Zhang, D., & Zhu, X. (2009, December). Unsupervised adaptation based on fuzzy c-means for brain-computer interface. In 2009 First International Conference on Information Science and Engineering (pp. 4122-4125). IEEE.

[1] Meng, J., Liu, G., Huang, G., & Zhu, X. (2009, December). Automated selecting subset of channels based on CSP in motor imagery brain-computer interface system. In 2009 IEEE International conference on robotics and biomimetics (ROBIO) (pp. 2290-2294). IEEE.

系统模型、分析与控制(A类) 2020-2024年春 ME369 英文授课
学术写作、规范与伦理（研究生）2023-2024春

---------------------------------专利申请与授权--------------------------------------------------------------

【1】*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
【2】*专利名称: METHODS AND SYSTEMS FOR NONINVASIVE MIND-CONTROLLED DEVICES, Pub. No. US2021/0018896 A1
【3】*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；授权号：ZL 202110361683.3;
【4】*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；授权号：ZL 202111038727.5；
【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；授权号：ZL 202111214913.X；
【6】*专利名称：一种多自由度腕部外骨骼康复设备，申请号：202210540743.2
【7】*专利名称：一种基于SSVEP和EOG的异步混合式脑机接口系统，申请号：202210587868.0
【8】*专利名称：一种基于SSVEP的脑控自滚动球形机器人，申请号：202211128034.X
【9】*专利名称：基于周期性运动想象任务的异步脑机接口开关控制方法，申请号：202211541466.3
【10】*专利名称：基于周期性注视视觉刺激任务的异步脑机接口开关控制方法，申请号：202211500113.9
【11】*专利名称：一种低视觉疲劳的高性能c-VEP异步脑机接口系统，申请号：CN202311310567.4
【12】*专利名称：一种基于深度神经网络的采血管血样分层识别和质量评估方法，申请号：CN202410636044.7
【13】*专利名称：一种基于脑电信号的节律运动解码方法，申请号：CN202410592534.1
【14】*专利名称：一种基于节律想象的脑机接口范式及其解码方法，申请号：CN202410791987.7

---------------------------------------软件著作权申请与授权------------------------------------------------------

【2】*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
【1】*软件著作权：智能假肢上位机软件[简称：上位机软件]V1.0 软件登字第2024SR0841838

* 学术期刊 Frontiers in Human Neuroscience 的 Associate Editor,
* 学术期刊 Frontiers in Neuroergonomics 以及 Frontiers in Interventions for Rehabilitation 的Review Editor

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

* 中国生物医学工程学会会员
*上海市机器人学会会员

* Guest Editor for a special issue in the Brain Connectivity: "Transformative Technologies in Brain-Computer Interfaces: Innovations, Applications, and Challenges" (Co-editor, Christoph Guger)

* IEEE Transactions on Biomedical Engineering、IEEE Transactions on Neural Systems 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

* Cochair - 2024年International Conference on Intelligent Robotics and Applications, ICIRA(智能机器人与应用国际会议)分会场主席
* Cochair - 2023年International Conference on Intelligent Robotics and Applications, ICIRA(智能机器人与应用国际会议)分会场主席
* 2021年第二十七届机电一体化与机器视觉应用国际会议(IEEE M2VIP 2021)分会场主席
* Co-organizer of 2021 IROS workshop - Cognitive and social aspects of human multi-robot interaction, website: https://www.kent.edu/cae/hmrs2021

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邀请报告：

【10】“基于可穿戴多源融合传感接口的神经假肢控制”，受邀报告（分论坛：上肢智能假肢技术），2024年国际康复工程与辅助技术大会暨世界康复机器人大会（i-CREATe & WRRC 2024）
【9】 "基于物理模型及周期性脑波调制的异步脑机接口开关研究"，受邀报告（分论坛：脑机接口与康复工程），2024年国际康复工程与辅助技术大会暨世界康复机器人大会（i-CREATe & WRRC 2024）
【8】“A Model-based Brain Switch via Periodic Brain Rhythm Modulation for Asynchronous Brain-Computer Interfaces，” 受邀报告（分论坛：脑机交互智能与融合），2024年"一带一路"脑健康与脑器交互科技国际会议
【7】“基于脑机接口的机器人连续运动控制”，2023年天津大学邀请报告
【6】“基于脑机接口的机器人连续运动控制”，受邀报告（分论坛：青年论坛），2022年上海市医学会数字医学专科分会青年委会成立大会暨青年学者学术研讨会
【5】“基于混合SSVEP与EOG的注意力解码”，受邀报告（分论坛：脑机交互与神经计算），2021年第40届中国控制会议
【4】“基于头皮脑电信号的脑控机械臂研究”，2021年浙江大学邀请报告
【3】“Exploring Fatigue Effects on Performance Variation of Intensive Brain-compute Interface (BCI) Practice，” 受邀报告（分论坛：Affective Computing and Affective Neuroscience）, the 20th World Congress of Psychophysiology Virtual Conference (2021)
【2】“Brain-computer Interface (BCI) Control of Robotic Devices，” 受邀报告，2021年BCI Summer School Seminar Talk
【1】“基于脑机接口的机械臂控制”，邀请报告，2019年生物印刷电子技术研讨会

* 2023 年5845cc威斯尼斯人校长奖（交大战疫）
* 2022 年outstanding reviewer for Journal of Neural Engineering, Progress in Biomedical Engineering
* 2022 年度教职工考核优秀
* 2022 5845cc威斯尼斯人优秀班主任
* 2022 年度5845cc威斯尼斯人抗疫先进个人
* 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