Papers
10
Total Citations
145
H-Index
6
About
Laehyun Kim is a multidisciplinary biomedical engineer whose research bridges brain-computer interfaces (BCIs), assistive robotics, and minimally invasive medical devices. His most influential work centers on advancing motor imagery-based BCI systems, particularly for users who struggle with conventional approaches. His 2021 study on sensory stimulation training to improve BCI performance for poor performers (36 citations) stands as his most recognized contribution, while his development of hybrid BCI systems for controlling meal-assist robots demonstrates his commitment to translating laboratory research into practical tools for elderly and disabled individuals. Kim has also made notable contributions to capsule endoscopy, designing modular, reconfigurable capsule robots capable of controlled locomotion within the gastrointestinal tract — work that addresses longstanding clinical limitations in non-invasive diagnostics. His research extends into neurosurgical robotics, including a markerless guidance system for intracerebral hemorrhage surgery that eliminates the need for time-consuming stereotactic frames. Spanning more than a decade of output, Kim's portfolio reflects a sustained dedication to human-centered medical technology, with his work collectively accumulating over 140 citations across rehabilitation engineering, neural interfaces, and surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Hybrid Brain–Computer Interface for Real-Life Meal-Assist Robot Control26 citations · 2021
- 3Prototype modular capsule robots for capsule endoscopies22 citations · 2013
- 4
- 5
- 6Markerless surgical robotic system for intracerebral hemorrhage surgery10 citations · 2015
- 7
- 8A brain—computer interface-based meal—assist robot control system5 citations · 2021
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- 10