11月13-16日，杭州

1场主论坛+12场分论坛+2026国际仿真科技展

2026 世界仿真大会（2026GLOSIM）

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2026 世界仿真大会（Global Simulation Conference 2026）即将开幕，嘉宾阵容持续揭晓！今天将为大家介绍的嘉宾是 ——浙江大学教授陈卫东先生。

他将出席2026世界仿真大会【具身智能、机器人和AI创新应用专题论坛】，并围绕《具身脑机接口及其在运动/认知康复中的应用研究》（Embodied Brain-Computer Interface for Motor/Cognitive Rehabilitation）这一主题，从具身认知的视角，探讨脑机接口中的具身化研究和应用。

陈卫东，现任浙江大学教授、求是高等研究院副院长。浙江大学物理学学士（1992）、计算机科学与技术博士（2002），美国匹兹堡大学医学院访问学者（2013-2015）。

曾作为核心成员参与创建求是高等研究院，组建交叉学科团队开展脑机接口研究，近年来在脑机接口、虚拟现实和人机交互、神经反馈与康复工程、智能融合等方面取得重要进展，主持或作为骨干参与国家自然科学基金、973、863、国家重大科技专项、科技创新2030-“脑科学与类脑研究”重大项目、浙江省“尖兵计划”和重大国际合作等10余项，发表论文100余篇，获国家发明专利10余项，部分科研成果得到转化。

曾入选教育部十大科技进展，获“吴文俊人工智能科学技术奖”，入选浙江省“新世纪151人才工程”，兼任中国认知科学学会神经教育学分会理事、中国康复医学会脑机接口与康复专业委员会第一届委员会常务委员等。

Prof. Weidong Chen received the B.Sc. in Physics and Ph.D. in Computer Science from Zhejiang University, in 1992 and 2002, respectively. He joined the College of Computer Science and Institute of Artificial Intelligence in 2003 as an associate professor, and vice director of the Virtual Research Center for Intelligence Science & Technology of the Ministry of Education. 

In 2006, he participated as a founding member in the establishment of Qiushi Academy for Advanced Studies (QAAS), which was a new institute of Zhejiang University aimed to strengthen the inter-disciplinary research on neural engineering and cognitive neuroscience, and later he joined QAAS as a research fellow and assistant director. 

From 2013 to 2015 he was a visiting scholar at Human Rehabilitation and Neural Engineering Lab, University of Pittsburgh School of Medicine. 

He is currently the full professor of computer science and biomedical engineering, and vice director of QAAS. His research interests include: Brain-Machine Interfaces, Human-Computer Interaction, Virtual Reality, and Artificial Intelligence.

脑机接口不依赖于常规的脑与外周神经肌肉系统的通路，实现了了脑与外部设备的直接控制与通信。借助脑机接口还可以绕开受损的大脑区域或神经环路，另建神经旁路，神经信号得以传递，从而实现功能恢复。

具身认知在脑机接口系统性能和应用中扮演了非常重要的角色，脑机接口对认知也会影响认知。本报告拟从具身认知的视角，探讨脑机接口中的具身化研究，以及在认知和运动功能康复中应用。

A brain–computer interface is a communication system that does not depend on the brain’s normal output pathways of peripheral nerves and muscles, enabling direct control of and communication with external devices. By bypassing damaged brain regions or neural circuits, BCIs can establish bypaths, facilitating the transmission of neural signals and, consequently, the restoration of function. Embodied cognition plays a pivotal role in the performance and application of BCI systems; conversely, BCIs themselves can also influence cognition. From the perspective of embodied BCI, this talk will explore research on embodiment in  BCI system, as well as the application of these systems in the rehabilitation of cognitive and motor functions.