Beijing University of Posts and Telecommunications | China
Assoc. Prof. Dr. Guangyuan Xu is a leading researcher in brain computer interfaces, embodied intelligence, neural sensing, flexible electronics, and cognitively driven robotic systems, serving at the School of Artificial Intelligence at Beijing University of Posts and Telecommunications. His work is recognized internationally for pioneering advances that bridge neuroscience, materials science, artificial intelligence, and robotics, with a strong focus on creating intelligent systems capable of seamless human machine interaction. His scientific influence is reflected in 618 citations drawn from 572 citing documents, supported by 10 research documents and an h-index of 8, demonstrating the growing global relevance and impact of his contributions. Dr. Xu directs the Cognitive and Embodied Intelligence Laboratory, where he leads interdisciplinary teams in developing next-generation task-relevant mental imagery BCIs, high-performance flexible interfaces, multimodal neuro-robotic co-adaptation systems, intelligent sensing materials, and robust human–machine decision-making frameworks. He has published extensively in high-impact journals and international conferences covering biosensing, neurotechnology, flexible electronics, affective computing, and embodied robotics. His leadership extends to major professional societies, including active roles within the Chinese Association for Artificial Intelligence, the China Computer Federation, the China Graphics Society, and the national Brain Computer Interface Industry Alliance, reflecting his prominent standing in the scientific community. Dr. Xu also contributes to national strategic innovation programs and collaborative platforms in artificial intelligence, neurotechnology, and bio-integrated sensing, helping shape the scientific direction of emerging intelligent technologies. His collaborations with global institutions have strengthened international research networks in neuro-robotic integration and intelligent sensing systems, driving forward cutting-edge advancements in BCI-enabled robotics. Through his vision, interdisciplinary expertise, and dedication to advancing neuro-intelligent systems, Dr. Xu continues to push the boundaries of cognitive interaction technologies, flexible neural interfaces, and embodied intelligence, establishing himself as a key contributor to the future of human machine integration and intelligent robotic development.
Featured Publications
Fu, Z., Lin, Y., Xu, G., & Zhang, M. (2025). Comparative performance of IMU and sEMG in locomotion mode prediction across transitional and steady-state cyclic/non-cyclic gaits. IEEE Journal of Biomedical and Health Informatics
Li, W., Zhang, J., Guo, J., Wang, X., Xu, G., Peng, Y., & Tu, L. (2025). Automated detection and classification of pediatric middle ear diseases from CT using entropy projection and feature interaction. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE.
Xu, G. (2018). Laser scribed graphene: fabrication and electrochemical biosensors for neurotransmitters. ResearchSpace@Auckland.
Liu, Y., Xu, G., Li, C., Ma, Y., Ji, N., & Feng, X. (2025). Stretchable multilevel mesh brain electrodes for neuroplasticity in glioma patients undergoing surgery. Advanced Healthcare Materials, e03358.
Xu, G., Chen, Y., Chen, F., Meng, Y., Ma, Y., & Feng, X. (2021). Fabrication of laser scribed graphene stretchable supercapacitor by laser-assisted transfer printing strategy. In 2021 IEEE 16th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS). IEEE.