Eun-Kyung Bae
Papers
2
Total Citations
41
H-Index
2
About
Eun-Kyung Bae is a leading researcher at the intersection of robotics and biomedical engineering, specializing in intelligent control systems for medical devices and rehabilitation technologies. Her work focuses on developing autonomous and adaptive robotic systems that enhance precision in clinical procedures and improve patient outcomes in physical therapy. Bae’s most influential contribution is her pioneering application of deep reinforcement learning to the automatic control of cardiac ablation catheters, a breakthrough that promises to increase the accuracy and safety of minimally invasive heart surgeries. This work, published in 2019, has garnered 32 citations and is recognized as a foundational step toward autonomous surgical robotics. She has also made significant strides in rehabilitation engineering with the design of a unique robotic gait training system featuring active foot plates and a stair-climbing mode, enabling more natural and functional recovery for patients with lower-limb impairments. By combining advanced machine learning with novel mechanical design, Bae’s research is shaping the future of both interventional and rehabilitative medicine.
Research Focus
Key Achievements
Top Papers
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