Suhang Liu
Papers
1
Total Citations
24
H-Index
1
About
Suhang Liu is a rising leader in intelligent sensing and human-machine interaction, with a research focus on triboelectric nanogenerators, acoustic sensors, and deep learning-enhanced signal processing. His most-cited work introduces a deep learning-enhanced anti-noise triboelectric acoustic sensor designed for robust human-machine collaboration in noisy environments. This innovation directly addresses the critical challenge of voice interaction reliability under real-world acoustic interference, achieving 24 citations since its 2025 publication. Liu’s contributions bridge the gap between self-powered sensor technology and advanced neural network architectures, enabling intuitive, efficient voice control for applications ranging from health monitoring to post-disaster rescue and intelligent automation. By integrating noise-resistant algorithms with flexible triboelectric materials, his research pushes the boundaries of speech recognition in harsh acoustic settings. Liu’s work stands out for its practical impact, offering a scalable pathway toward more resilient and user-friendly human-machine interfaces. As an emerging voice in the field, his achievements signal a promising trajectory for next-generation acoustic sensing and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1