Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Yugyung Lee is a pioneering researcher at the intersection of augmented reality, deep learning, and biomedical engineering, with a focus on creating intelligent systems for healthcare and assistive technologies. Her most cited work, "Augmented reality for personalized nanomedicines" (2017, 25 citations), introduces a transformative framework that merges AR visualization with nanomedicine design, enabling real-time, patient-specific drug delivery optimization—a foundational contribution to precision medicine. Lee’s research also addresses critical societal needs, as seen in her deep learning framework for the Internet of Things (2021, 7 citations), which empowers individuals with neurological impairments by integrating brain-computer interfaces into smart environments, reducing reliance on costly caregiver services. Her work on decision support systems (2021, 4 citations) optimizes cloud-based AI deployment, while her latest exploration of embodied surgical intelligence via digital twins (2025) pushes boundaries in autonomous robotic surgery. With a career spanning AI-driven healthcare, IoT accessibility, and surgical robotics, Lee’s interdisciplinary impact is evident in her ability to translate complex computational models into practical, human-centered solutions. Her research continues to inspire students and researchers at the nexus of technology and medicine.