唐晨宇，博士，约炮 助理教授、博士生导师。先后获北京航空航天大学学士、英国剑桥大学电子工程博士学位。后任英国剑桥大学工程系助理研究员、英国伦敦大学学院荣誉研究员。长期从事人工智能与可穿戴生物电子系统交叉领域研究，聚焦真实环境下人体状态的连续感知、智能解析与闭环健康干预，在智能交流辅助、运动功能感知与连续健康监测等方向取得多项创新成果。以第一作者在Nature Sensors（创刊号）、Nature Reviews Electrical Engineering（封面论文）、Nature Communications、PNAS、npj Flexible Electronics、IEEE TBME（编辑精选文章）等国际高水平期刊发表论文12篇，共发表论文30余篇，公开PCT国际专利1项，参编国际专著2部。

欢迎对智能感知、生物电子与智慧健康技术方向感兴趣的学生和博士后加入！

2026.5-至今：约炮 ，约炮 ，助理教授

2026.4-至今：伦敦大学学院，荣誉研究员

2025.10-2026.3:剑桥大学，助理研究员

2022.10-2026.2:剑桥大学，博士

2018.9-2022.6:北京航空航天大学，本科

[1]Chenyu Tang,et al.“Wearable Intelligent Throat Enables Natural Speech in Stroke Patients with Dysarthria.”Nature Communications(2026).

[2]Chenyu Tang,et al.“Sensing Technologies for Silent Speech Interfaces.”Nature Sensors(2026).(Inaugural Issue)

[3]Chenyu Tang,et al.“An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment.”IEEE Transactions on Neural Systems and Rehabilitation Engineering(2025).

[4]Chenyu Tang,et al.“AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors.”IEEE Transactions on Biomedical Engineering(2025). (Featured Article)

[5]Chenyu Tang,et al.“Wireless Silent Speech Interface Using Multi-Channel Textile EMG Sensors Integrated into Headphones.”IEEE Transactions on Instrumentation and Measurement(2025).

[6]Chenyu Tang,et al.“A Deep Learning-enabled Smart Garment for Accurate and Versatile Sleep Conditions Monitoring in Daily Life.”Proceedings of the National Academy of Sciences (PNAS)(2025).

[7]Chenyu Tang,et al.“Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency.”npj Flexible Electronics(2024).

[8]Chenyu Tang,et al.“A Roadmap for the Development of Human Body Digital Twins.”Nature Reviews Electrical Engineering(2024). (Front Cover)

[9]Chenyu Tang,et al.“EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning.”IEEE Sensors Journal(2024).

[10]Chenyu Tang,et al.“From Brain to Movement: Wearables-based Motion Intention Prediction Across the Human Nervous System.”Nano Energy(2023). (Front Cover)

[11]Chenyu Tang,et al.“WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition.”IEEE Journal of Biomedical and Health Informatics(2022).

[12]Chenyu Tang,et al.“Piezoelectric and Machine Learning Based Keystroke Dynamics For Highly Secure User Authentication.”IEEE Sensors Journal(2022).