Papers
1
Total Citations
15
H-Index
1
About
Henglin Pu is a researcher advancing the frontiers of acoustic signal processing and array-based sensing. His work centers on robust sound source localization, a critical technology for applications ranging from robotic navigation to indoor positioning systems. Pu’s most cited paper, “Towards Robust Multiple Blind Source Localization Using Source Separation and Beamforming” (2021, 15 citations), tackles a fundamental limitation in the field: the inability of conventional microphone arrays to locate more than a few sound sources simultaneously. By integrating source separation techniques with beamforming, he proposes a novel framework that overcomes the constraints imposed by array size, enabling the localization of multiple blind sources with greater accuracy and robustness. This contribution has significant implications for smart environments, autonomous systems, and hearing-assistive technologies. Pu’s work demonstrates a keen ability to bridge theoretical signal processing with practical engineering challenges, earning recognition for its potential to scale real-world acoustic sensing. His research continues to push the boundaries of what is possible in multi-source localization, making him a rising voice in the audio and speech processing community.
Research Focus
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