Su Yeong Kim

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About

Su Yeong Kim is a leading researcher in human-robot interaction and affective computing, with a particular focus on care and nursing training (CNT) technologies. Her most impactful work centers on developing intelligent robotic avatars that can recognize and express human pain, revolutionizing how trainees learn to respond to patient needs. Her landmark 2024 study on "Siamese and triplet network-based pain expression in robotic avatars" introduced novel deep learning architectures that enable robots to generate realistic, context-aware pain expressions, moving beyond traditional video- and role-play-based training methods. This work has garnered significant attention, with her papers accumulating over 1,000 citations, establishing her as a pioneer in integrating computer vision and robotics for healthcare education. Kim's contributions are particularly notable for bridging the gap between technical AI development and practical clinical training needs, creating systems that can dynamically respond to trainee interactions. Her research has been recognized with multiple best paper awards and has been featured in top-tier robotics and AI conferences, positioning her as a key figure in the future of automated, empathetic healthcare training systems.