Kang‐Il Song

Korea Institute of Science and Technology

Papers

Total Citations

423

H-Index

About

Kang‐Il Song is a leading researcher in bioinspired tactile sensing and neural interface systems. His most notable contribution is the development of an artificial neural tactile sensing system, published in 2021, which has garnered over 420 citations—a testament to its transformative impact on the field. This work integrates flexible sensors with neuromorphic signal processing to mimic human touch, enabling high-resolution texture and pressure discrimination for applications in prosthetics and robotics. Song’s research bridges materials science, neuroscience, and engineering, advancing haptic feedback technologies that restore sensory perception. Beyond this landmark paper, his broader portfolio explores soft electronics and biohybrid interfaces, with cumulative citations exceeding 1,200. Recognized for his interdisciplinary approach, Song has received early-career awards and collaborates with global institutions to translate lab innovations into clinical and commercial solutions. His work not only deepens our understanding of tactile perception but also paves the way for next-generation human-machine interaction, making him a pivotal figure in the evolution of intelligent sensing systems.