Dohyung Hwang

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Dohyung Hwang is a researcher specializing in acoustic signal processing and robotic audition, with a primary focus on sound source localization for intelligent service robots. His work addresses a critical challenge in human-robot interaction: enabling robots to accurately locate sound sources in dynamic, real-world environments where acoustic conditions constantly change. Hwang’s major contribution lies in developing TDOA (Time Difference of Arrival) map adaptation methods, which correct mismatches between theoretical acoustic models and actual environmental conditions. His 2011 paper, "TDOA map adaptation in sound source localization," introduced a novel adaptation technique that compensates for configuration errors and environmental deviations that degrade localization performance. Building on this, his 2012 work, "Robust sound localization for various platform of robots using TDOA map adaptation," extended the approach to work across different robotic platforms. While his citation counts (4 and 3 respectively) reflect a focused, specialized audience, these papers represent foundational steps toward making robotic hearing robust enough for real-world deployment. Hwang’s research bridges the gap between laboratory acoustic models and the messy, unpredictable environments where service robots must operate—a crucial advancement for robots that need to interact naturally with humans in homes, offices, and public spaces.