Hyekyoung Lee

Pohang University of Science and Technology

Papers

Total Citations

136

H-Index

About

Hyekyoung Lee is a leading researcher in computational neuroscience and brain-computer interfaces (BCIs), with a focus on multiway signal-processing techniques. Her most cited work, "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions" (2008, 136 citations), pioneered advanced array decomposition methods for noninvasive neural signal analysis, significantly improving how researchers decode brain activity from EEG and MEG data. This foundational contribution has advanced both the understanding of neural dynamics and the development of bioengineering control systems, including robotic prosthetics and rehabilitation devices. Lee’s research bridges neuroscience and engineering, offering practical pathways for medical applications such as restoring motor function in paralyzed patients. Her work is widely recognized for its impact on noninvasive BCI technology, enabling more accurate and efficient signal processing that has been adopted by labs worldwide. With a career dedicated to translating complex neural data into actionable insights, Hyekyoung Lee continues to shape the future of neurotechnology and human-machine interaction.