Harim Lee

Ulsan National Institute of Science and Technology, Kumoh National Institute of Technology

Papers

Total Citations

H-Index

About

Harim Lee is a researcher at the forefront of privacy-preserving robotics and autonomous navigation. Her work addresses two critical challenges in modern robotics: protecting personal privacy in vision systems and enabling reliable real-world autonomy. Lee’s most influential contribution, “Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution” (2019, 14 citations), proposes a fundamental approach to safeguarding privacy by blurring sensitive facial data while preserving robotic functionality—a crucial innovation as smart cameras become ubiquitous. She extended this concept to aerial systems in “Privacy-Protection Drone Patrol System based on Face Anonymization” (2020, 4 citations), addressing security robot applications. Most recently, Lee’s “Real-Time Traffic Light Recognition with Lightweight State Recognition and Ratio-Preserving Zero Padding” (2024, 7 citations) tackles the growing demand for autonomous delivery robots, accelerated by COVID-19’s impact on e-commerce. Her work bridges the gap between ethical AI deployment and practical robotic performance, offering solutions that respect individual privacy without compromising mission-critical capabilities. Lee’s research is particularly timely as autonomous systems become integrated into public spaces, making her contributions essential reading for students and engineers developing responsible robotics.