Jinah Park

Jinah Park is a faculty member in the School of Computing at KAIST, affiliated with the Computer Graphics and Visualization Lab. Her research interests include medical image analysis algorithms, interaction techniques for human-computer interaction in extended reality, and simulation and visualization of biomedical data. She is also involved in projects related to shape modeling, image segmentation, and haptic feedback. Recent publications include work on shape-guided self-supervised learning for intracranial aneurysm segmentation and vibration-color-emotion correspondences for affective haptic feedback.

Park Jinah is a researcher at KAIST with expertise in Deformable Model, Visualization, Medical Imaging, Computer Haptics, and Virtual Reality. Their work focuses on developing advanced models for cardiac motion analysis using MRI-SPAMM and volumetric deformable models. They also explore haptic rendering techniques for virtual palpation simulators and biomedical applications. Additionally, Park contributes to medical imaging research by analyzing hippocampal shape changes in early MCI and improving human pose estimation through data augmentation. Their research bridges computational methods with clinical applications, emphasizing real-time visualization and interactive 3D gaming console studies.