Xiangyang Zeng
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xiangyang Zeng is a researcher specializing in acoustic signal processing and its applications in indoor environmental sensing. His work centers on leveraging sound field perturbations for object identification, a critical technique for advancing security surveillance, human identification, and autonomous robotic navigation. His most notable contribution, detailed in the 2020 paper "Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response," introduces a novel method that uses spectral subtraction to analyze how objects alter acoustic room impulse responses. This approach enables precise recognition of unidentified objects in complex indoor spaces, offering a non-visual alternative for AI-driven systems. While his citation count is currently modest, the foundational nature of this work holds significant potential for future developments in smart environments and robotics. Dr. Zeng’s research bridges the gap between theoretical acoustics and practical engineering, providing a robust framework for enhancing machine perception in cluttered or visually obscured settings. His dedication to solving real-world challenges through sound-based identification marks him as an emerging contributor to the fields of acoustic sensing and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1