新晃一中校友风采：姚林

新晃一中机器人社团首席导师

姚林，1986年出生于湖南省新晃侗族自治县，中共党员，2005年毕业于新晃一中，分别于2009年和2015年在四川大学、上海交通大学获得学士和博士学位。2015年4月至2016年9月在德国哥廷根大学医学院神经康复工程系任研究科学家，为Bernstein计算神经科学研究中心(BCCN)脑机接口实验室负责人。2016年9月至今在加拿大滑铁卢开展博士后研究，并为脑机接口实验室负责人。

电话: +86 152****4566    邮箱: lin.****@uwaterloo.ca

教育及研究背景：                                                                           

        2016.09-至今                                          研究科学家                            脑机接口实验室负责人                                                        加拿大滑铁卢大学

        2015.04-2016.09                  研究科学家                            脑机接口实验室负责人                                                        德国哥廷根大学

        2011.09-2015.06                            博士                                机械电子工程                                                                上海交通大学

        2009.09-2011.06                            硕士                                          机械电子工程                                                                             上海交通大学

        2005.09-2009.06                             本科                                          机械设计制造及其自动化                                              四川大学

研究兴趣：                                                                          

研究的主要方向是基于脑电(electroencephalogram, EEG)及肌电(electromyography, EMG)的生机电一体化系统的设计及应用、脑机接口及其增强式生机接口研究、高密度肌电中神经元活动信息的提取。具体应用包括多自由度智能假肢的肌电控制；生机电一体化系统及机器人技术等等。

博士期间提出的混合式脑机接口及刺激辅助的脑电信号增强理论为脑机接口性能的提升及后续研究扩展开辟了新的方向，相关研究工作发表在生物医学工程领域的顶级期刊，包括IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural System and Rehabilitation Engineering, Journal of Neural Engineering, PloS ONE等期刊。目前作为脑机接口实验室负责人，该实验室从2012到2016年连续四年获得BCI Award提名（全球只有10项研究被提名）。

参与项目：                                                                          

刺激辅助增强及多模态混合脑机接口研究 （上海交通大学机械系统与振动国家重点实验室课题）负责人

人体运动功能重建的生肌电一体化科学基础 （国家973计划课题 2011-2016） 参与人员

多模式刺激及增强式生肌电一体化假肢手研究 （自然科学基金 2014-2017）  参与人员

获奖：                                                                             

        Annual BCI-Research Award, BCI Society                                                                                                                                                                                                    2016

        Annual BCI-Research Award, BCI Society                                                                                                                                                                                                    2015

        IEEE EMBS International Summer School on Neural Engineering (ISSNE) 最佳海报                                                                      2013

        ICIRA 2013 最佳论文                                                                                                                                                                                                                                                            2013

        国家励志奖学金                                                                                                                    2008

        国家数学建模竞赛国家级二等奖                                                                                                                                             2007

        国家奖学金                                                                                                    2007

        国家奖学金                                                                                                                                                                                                                                                                                        2006

发表论文：                                                                           

       期刊文章

[1]      Yao L., Meng J.J., Zhang D.G., Sheng X.J. and Zhu X.Y., ”Selective Sensation based Brain-Computer Interface via Mechanical Vibrotactile Stimulation”, Plos ONE, 2013, 8(6): e64784.

[2]      Yao L., Meng J.J., Zhang D.G., Sheng X.J. and Zhu X.Y., “Combining Motor Imagery with Selective Sensation towards a Hybrid-Modality BCI”, IEEE Transactions on Biomedical Engineering, 2014, 61(8): 2304-2312.

[3]      Yao L., Meng J.J., Sheng XJ, Zhang D.G. and Zhu XY, “A Novel Calibration and Task Guidance Framework for Motor Imagery BCI via a Tendon Vibration Induced Sensation with Kinesthesia Illusion”, Journal of Neural Engineering, 2015, 12(1):016005.

[4]      Yao L., Sheng X.J., Zhang D.G., Jiang N., Farina D. and Zhu X.Y., “A BCI System based on Somatosensory Attentional Orientation”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2017, 25(1): 81-90.

[5]      Yao L., Sheng X.J., Zhang D.G., Jiang N., Mrachacz-Kersting N., Farina D., and Zhu X.Y., “A stimulus-independent hybrid BCI based on Motor Imagery and Somatosensory Attentional Orientation”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2017, DOI: 10.1109/TNSRE.2017.2684084.

[6]      Meng J.J., Yao L., Sheng X.J. Zhang D.G. and Zhu X.Y., “Simultaneously optimizing spatial spectral features based on mutual information for EEG classification,” IEEE Transactions on Biomedical Engineering, 2015, 62(1):227-240.

[7]      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, 2015:1550014.

[8]      Wu Z.H., Xie T., Yao L., Zhang D.G., Sheng X.J., Farina D., Chen L., Mao Y., Zhu X.Y., “Electrocorticographic Temporal Alteration Mapping: A Clinical Technique for Mapping the Motor Cortex with Movement-Related Cortical Potentials”, Frontiers in Neuroscience, 2017, accepted.

       会议文章

[1]      Yao L., Zhang D.G., Huang G., Zhu X.Y., “Using SSVEP based brain-computer interface to control functional electrical stimulation training system”, 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS), Qing Dao, China, 2011.

[2]      Yao L., Zhang D.G., Zhu X.Y., “SSVEP based brain-computer interface controlled functional electrical stimulation system for knee joint movement”, The 5th International Conference on Intelligent Robotics and Applications, Montreal, Canada, 2012.

[3]      Yao L., Sheng X.J., Meng J.J., Zhang D.G., Zhu X.Y., “Mechanical Vibrotactile Stimulation Effect in Motor Imagery Based Brain-Computer Interface” The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 2013.

[4]      Yao L., Shu X.K., Meng J.J., Zhang D.G., Sheng X.J., Zhu X.Y., “Enhanced Motor Imagery based Brain-Computer Interface via Unilateral Wrist Vibrotactile Stimulation” The 6th International IEEE EMBS Conference on Neural Engineering, San Diego, America, 2013.

[5]      Yao L., Shu X.K., Sun C., Sheng X.J., Zhang D.G., Zhu X.Y., “A Single-trial Decoding Method by Integrating Accumulated Continuous Classification for Motor Imagery based BCI”, IEEE International Conference on Information and Automation (ICIA), Hailar, Hulun Buir, China, 2014.

[6]      Yao L., Xie T., Shu X.K., Sheng X.J., Zhang D.G., Zhu X.Y., “Long-term Paired Sensory Stimulation Training for Improved Motor Imagery BCI Performance via Pavlovian Conditioning Theory”, The 7th International IEEE EMBS Conference on Neural Engineering, Montpellier, France, 2015.

[7]      Yao L., Farina D., “Decoding of the Endogenous Somatic Attention by Utilizing Brain Signals Induced from Tactile Selective Sensation”, The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, 2015.

[8]      Yao L., Xie T., Wu Z., Lin C., Sheng X., Zhang D., Negro F., Chen L., Mao Y., Zhu X., Farina D., “Neural Signature of Selective Sensation based Tactile BCI in the Context of ECoG Investigation”, 6th International BCI Meeting, Asilomar Conference Center in Pacific Grove, California, USA, 2016.

[9]      Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Common Spatial Pattern with Polarity Check for Reducing Delay Latency in Detection of MRCP based BCI System”, The 8th International IEEE EMBS Conference on Neural Engineering, Shanghai, China, 2017.

[10]  Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Cortical Oscillatory Dynamics of Tactile Selective Sensation - for a Novel Type of Somatosensory Brain-computer Interface”, The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, Korea, 2017.

[11]  Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Influence of Spontaneous rhythm on Movement-related Cortical Potential - a Preliminary Neurofeedback Study”, 19th International Conference on Human-Computer Interaction, Vancouver, Canada, 2017.

[12]  Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Enhanced CSP Spatial filtering for Improved Motor Imagery BCI Performance by Integrating the Sensation-induced Neurophysiological Prior”, 7th Graz Brain-Computer Interface Conference, Graz, Austria, 2017.

[13]  Shu, X., Yao, L., Sheng, X., Zhang, D., Zhu, X., “A hybrid BCI study: Temporal optimization for EEG single-trial classification by exploring hemodynamics from the simultaneously measured NIRS data”. In Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on (pp. 914-918). IEEE.

       在投在审论文

[1]      Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “A multi-class tactile brain-computer interface based on stimulus-induced oscillatory dynamics”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2017, minor revision.

[2]      Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Oscillatory Dynamics of Imagined Sensation and Multi-class Independent Somatosensory BCI”, Journal of Neural Engineering, 2017, under review.

[3]      Yao L., Chen M.L, Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Can covert somatosensory attention be decoded by a BCI system calibrated with tactile sensation?”, IEEE Transactions on Biomedical Engineering, 2017, under review.

[4]      Yao L., Sheng X.J., Mrachacz-Kersting N., Zhu X.Y., Farina D. and Jiang N., “Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery”, IEEE Transactions on Neural System and Rehabilitation Engineering, 2017, under review.

专利情况：                                                                      

发明专利1项目，软件著作权2项。

一种基于选择性感受的脑机接口系统， 201****749053，朱向阳，姚林，盛鑫军 ，孟建军

脑机接口在线采集与处理系统软件BCI-SJTU v1.0，2013SR078349，朱向阳，姚林，盛鑫军 

EMG-1000 16P手持式肌电采集仪上位机控制软件EMGWin v1.0，2013SR078408，朱向阳，郭伟超，姚林，盛鑫军