2008年9月-2012年6月 武汉大学 机械工程 学士
2012年9月-2018年9月 英国上市公司365 机械电子工程 博士

2018年9月-2022年3月 英国上市公司365 博士后
2022年4月-至今 英国上市公司365 助理研究员

1. 机器人学
2. 生机电一体化智能系统

1. 2020.01-2022.12，多源高通量肌群信息融合与生机接口研究，国家自然科学基金青年项目（主持）
2. 2019.06-2022.05，运动-感觉双向神经通路重建，科技部-重点研发计划（学术骨干，排2）
3. 2019.01-2021.06，神经信息解码交互和多传感信息融合，上海市基础研究重大项目（学术骨干）
4. 2018.11-2020.12，操作感知一体化神经智能义肢系统及示范应用，国防纵向（学术骨干，排2）

1．Guo W.C., Wang M., Sheng X.J. and Zhu X.Y., “Towards semi-supervised myoelectric finger motion recognition based on spatial motor units activation”, Science China Technological Sciences, 2022, 65: 1232–1242.
2．Guo W.C., Sheng X.J., Liu H.H. and Zhu X.Y., “Development of a Multi-Channel Compact-Size Wireless Hybrid sEMG / NIRS Sensor System for Prosthetic Manipulation”, IEEE Sensors Journal, 2016, 16(2):447-456.
3．Guo W.C., Sheng X.J., Liu H.H. and Zhu X.Y., “Toward an Enhanced Human-Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals”, IEEE Transactions on Human-Machine Systems, 2017, 47(4):564-575.
4．Guo W.C., Sheng X.J., Liu H.H. and Zhu X.Y., “Mechanomyography Assisted Myoeletric Sensing for Upper-extremity Prostheses: a Hybrid Approach”, IEEE Sensors Journal, 2017, 17(10):3100-3108.
5．Fang Y., Guo W.C. and Sheng X.J., "Toward a Wireless Wearable System for Bidirectional Human-Machine Interface With Gesture Recognition and Vibration Feedback," IEEE Sensors Journal, 2022, 22(10):9462-9472.
6．Sheng X.J., Ding X.C., Guo W.C., Hua L., Wang M. and Zhu X.Y., “Toward an Integrated Multi-Modal sEMG/MMG/NIRS Sensing System for Human-Machine Interface Robust to Muscular Fatigue”, IEEE Sensors Journal, 2021, 21(3): 3702 -3712.
7．Sheng X.J., Lv B., Guo W.C. and Zhu X.Y., “Common spatial-spectral analysis of EMG signals for multiday and multiuser myoelectric interface”, Biomedical Signal Processing and Control, 2019, 53:101572.
8．Chen C., Chai G.H., Guo W.C., Sheng X.J., Farina, D. and Zhu X.Y., “Prediction of finger kinematics from discharge timings of motor units: implications for intuitive control of myoelectric prostheses”, Journal of Neural Engineering, 2019, 16(2):026005.1-026005.12.
9．Jiang S., Lv B., Guo W.C., Zhang C., Wang H.T., Sheng X.J., and Peter. B. Shull, “Feasibility of Wrist-worn, Real-time Hand and Surface Gesture Recognition via sEMG and IMU Sensing”, IEEE Transactions on Industrial Informatics, 2018, 14(8): 3376-3385.
10．Guo W.C., Sheng X.J. and Zhu X.Y., “Study of Muscular Fatigue Effect on Human-Machine Interface Using Electromyography and Near-Infrared Spectroscopy”, In: Liu XJ., Nie Z., Yu J., Xie F., Song R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science, vol 13013. Springer, Cham.
11．Guo W.C., Sheng X.J. and Zhu X.Y., “Development of A Hybrid Mini-Grid sEMG, NIRS and MMG Sensor System for Human-Machine Interaction”, in: the Proceedings of the IEEE 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2021, pp. 72-77.
12．吕鹏宇，郭伟超，盛鑫军，朱向阳. 微阵列式表面肌电采集系统的设计[J]. 传感技术学报, 2020, v.33(06):142-147.
13．Guo W.C., Yao P.F., Sheng X.J., Liu H.H., and Zhu X.Y., ”A Wireless Wearable sEMG and NIRS Acquisition System for an Enhanced Human-computer Interface”, in: the Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014, pp. 2192-2197.
14．Guo W.C., Sheng X.J., Liu J.W., Hua L., Zhang D.G., and Zhu X.Y., “Towards zero training for myoelectric control based on a wearable wireless sEMG armband”, in: the Proceedings of IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2015, pp. 196-201.
15．Guo W.C., Sheng X.J., Zhang D.G., and Zhu X.Y., “Development of a Hybrid Surface EMG and MMG Acquisition System for Human Hand Motion Analysis”, in: H. Liu, N. Kubota, X. Zhu, R. Dillmann, D. Zhou (Eds.) Intelligent Robotics and Applications, Springer International Publishing, 2015, pp. 329-337.
16．Guo W.C., Sheng X.J., and Zhu X.Y., “Assessment of Muscle Fatigue by Simultaneous sEMG and NIRS : from the Perspective of Electrophysiology and Hemodynamics”, in: the Proceedings of IEEE EMBS Conference on Neural Engineering (NER), 2017, pp. 33-36.
17．Yao P.F., Guo W.C., Sheng X.J., Zhang D.G., and Zhu X.Y., “A Portable Multi-Channel Wireless NIRS Device for Muscle Activity Real-Time Monitoring”, in: the Proceedings of 36th Annual International Conference of the IEEE EMBS, 2014: 3719-3722.
18．Huang Y.J., Guo W.C., Liu J.W., et al., “Preliminary Testing of a Hand Gesture Recognition Wristband Based on EMG and Inertial Sensor Fusion”, in: H. Liu, N. Kubota, X. Zhu, R. Dillmann, D. Zhou (Eds.) Intelligent Robotics and Applications, Springer International Publishing, 2015, pp. 359-367.
19．Xu K., Guo W.C., Hua L., Sheng X.J., and Zhu X.Y., “A Prosthetic Arm Based on EMG Pattern Recognition”, in: the Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO) , 2016, pp. 1179-1184.
20．Lv B., Sheng X.J., Guo W.C., Zhu X.Y., and Ding H., “Towards Finger Gestures and Force Recognition Based on Wrist Electromyography and Accelerometers”, in: Huang Y., Wu H., Liu H., Yin Z. (Eds.) Lecture Notes in Computer Science, Springer International Publishing, 2017, pp. 373-380.
21．Yu Y., Sheng X.J., Guo W.C., Zhu X.Y., “Attenuating the Impact of Limb Position on Surface EMG Pattern Recognition Using a Mixed-LDA Classifier”, in: the Proceedings of IEEE International Conference on Robotics and Biomimetics (ROBIO) , 2017, pp. 1497-1502.

1. 朱向阳，郭伟超，盛鑫军，一种基于表面肌电和肌音信号融合的人机接口系统，授权号：ZL201510272079.8
2. 朱向阳，郭伟超，姚鹏飞，盛鑫军，一种表面肌电和近红外光谱联合采集装置，授权号：ZL201310585071.8
3. 朱向阳，郭伟超，盛鑫军，陈星羽，张定国，佩戴式多通道表面肌电信号采集臂环，授权号：ZL201310241598.9，
4. 朱向阳，姚鹏飞，邱中一，郭伟超，盛鑫军，一种基于近红外传感器的肌群信息检测装置，授权号：ZL201310585091.5
5. 盛鑫军，郭伟超，丁雪聪，一种联合表面肌电肌音与近红外光谱的肌肉疲劳检测方法, 授权号：ZL201810595364.7
6. 朱向阳，侠妙娟，盛鑫军，郭伟超，华磊，一种基于生物肌电的人机交互腕环、系统及方法, 授权号：ZL201711107161.0
7. 盛鑫军，柴国鸿，郭伟超，麦熙名，丁雪聪，一种基于电刺激与肌肉信息检测的疲劳缓解装置，申请号：CN201811367926.9
8. 盛鑫军，吕鹏宇，华磊，郭伟超，朱向阳，一种用于运动单元解码的表面肌电信号采集系统，申请号：CN202010305540.6
9. 盛鑫军，于洋，郭伟超，朱向阳，一种多轴机械臂的自然手势运动控制系统和方法，申请号：CN201710992223.4
10. 朱向阳，吕博，郭伟超，盛鑫军，许可，一种基于肌电及运动传感器的头部动作识别系统，申请号：CN201610980220.4

2015年获上海市技术发明一等奖（灵巧假肢与高性能生机接口技术，10/11，上海市人民政府）