Papers

4

Total Citations

61

H-Index

3

About

Inkyu An is a researcher whose work is reshaping how machines perceive sound in complex, real-world environments. His primary research areas lie at the intersection of acoustic signal processing and spatial audio, with a specific focus on advanced sound source localization. An’s major contributions address the critical limitations of traditional methods, which often fail in cluttered indoor settings. He pioneered a **reflection-aware sound localization** technique that can instantaneously determine a source’s 3D position from a single audio frame, a significant leap from systems requiring continuous, stationary signals. This work, published in 2018, has garnered 42 citations, underscoring its influence. Building on this, An tackled the even more challenging problem of localizing **non-line-of-sight (NLOS) sound sources**. By exploiting the diffraction properties of sound waves as they bend around obstacles, he developed a novel algorithm that combines ray tracing with propagation models, enabling localization of sounds hidden behind barriers. This diffraction-aware approach, with 14 citations, demonstrates his ability to solve fundamental problems in acoustic sensing. An’s research is paving the way for more robust hearing systems in robotics, smart environments, and augmented reality.

Research Focus

Key Achievements

3
H-Index
4
Papers
61
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Reflection-Aware Sound Source Localization
42 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago