Janet Kim

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About

Dr. Janet Kim is a pioneering researcher at the intersection of geospatial data analysis and the emerging field of privacy-sensitive robotics. Her early, highly influential work on "Building segmentation for densely built urban regions using aerial LIDAR data" (2008, 70 citations) established a foundational method for extracting individual building footprints from sparse aerial LIDAR point clouds. This contribution was critical for urban planning and 3D city modeling in complex, high-density environments, demonstrating a novel approach that relied solely on geometric data with less than one point per square meter. More recently, Dr. Kim has pivoted to address a pressing societal challenge with her work on "Privacy-Sensitive Robotics: Perceptions, Measures, and Metrics" (2025). This forward-looking research directly confronts the fundamental tension between a robot's utility and its intrusion on personal privacy. By exploring how robots can communicate these tradeoffs to users, she is laying the groundwork for ethical human-robot interaction. Her career trajectory—from solving a hard technical problem in remote sensing to grappling with the human-centric ethics of embodied AI—showcases a rare and valuable breadth. Dr. Kim’s work is essential reading for anyone interested in the future of autonomous systems, from smart cities to domestic robotics.