Ningjuan Dong
Papers
1
Total Citations
2
H-Index
1
About
Ningjuan Dong is a researcher focused on acoustic signal processing and its applications in intelligent environments. Her work centers on object identification and environmental sensing using sound field analysis, a critical area for advancing AI robotics, security surveillance, and human-computer interaction. Dong’s most notable contribution is the development of a spectral subtraction method applied to acoustic room impulse responses, enabling the identification of objects within a room by analyzing how they perturb the sound field. This technique offers a non-visual, passive approach to object recognition, which is particularly valuable in low-light or obstructed scenarios. While her highly cited paper, "Indoor Object Identification based on Spectral Subtraction of Acoustic Room Impulse Response" (2020), has garnered 2 citations, it represents a foundational step in a niche but growing field. Dong’s work bridges the gap between acoustics and practical engineering, providing a novel framework for robots to perceive their surroundings through sound. Her research holds promise for enhancing the autonomy and safety of AI-driven systems, making her a rising contributor to the intersection of audio processing and smart environment technologies.
Research Focus
Key Achievements
Top Papers
- 1