Dr. Chenyu Tang is an Assistant Professor and PhD Supervisor at the School of Electronic and Computer Engineering, Peking University. He received his B.Eng. degree from Beihang University and his Ph.D. degree in Electronic Engineering from the University of Cambridge. He subsequently worked as a Research Associate in the Department of Engineering at the University of Cambridge and currently serves as an Honorary Research Fellow at University College London (UCL).

His research lies at the intersection of artificial intelligence, wearable bioelectronics, and intelligent healthcare systems. His work focuses on continuous human-state sensing, multimodal signal interpretation, and closed-loop health intervention in real-world environments. He has contributed to several emerging directions, including assistive communication systems, wearable motion intelligence, and continuous health monitoring technologies.

As first author, Dr. Tang has published 12 papers in leading international journals, including Nature Sensors(inaugural issue), Nature Reviews Electrical Engineering (cover article), Nature Communications, PNAS, npj Flexible Electronics, and IEEE Transactions on Biomedical Engineering (featured article). He has authored more than 30 journal and conference publications in total, holds one public PCT international patent, and has contributed to two international book chapters.

Prospective students and postdoctoral researchers with interests in intelligent sensing, bioelectronics, wearable systems, and AI-driven healthcare technologies are warmly encouraged to apply.

May 2026 – Present

Assistant Professor, School of Electronic and Computer Engineering, Peking University

Apr 2026 – Present

Honorary Research Fellow, Department of Surgical Biotechnology, University College London

Oct 2025 – Mar 2026

Research Associate, Department of Engineering, University of Cambridge

Oct 2022 – Feb 2026

Ph.D. in Electrical Engineering, University of Cambridge

Sep 2018 – Jun 2022

B.Eng. in Instrument Science and Technology, Beihang University

[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).