Doheon Lee

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Doheon Lee is a researcher whose work sits at the intersection of acoustics, signal processing, and spatial computing, with a particular focus on solving the challenge of sound localization in complex environments. His major contribution lies in pioneering "diffraction-aware" algorithms that enable accurate localization of non-line-of-sight (NLOS) sound sources—a problem critical for applications in robotics, augmented reality, and smart environments. By integrating ray tracing-based sound propagation with an understanding of how sound waves bend around obstacles, Lee has developed methods that allow machines to "hear" around corners, effectively extending the perceptual range of audio systems. His most cited work, a 2019 paper on this topic, has garnered 14 citations, establishing a foundation for future research in acoustic sensing. This achievement is notable for its practical implications: enabling autonomous systems to detect and locate sounds in cluttered, real-world settings where direct line-of-sight is impossible. Lee’s research is a compelling example of how fundamental physics can be harnessed to solve applied engineering problems, making him a key figure in the evolution of intelligent, context-aware audio systems.