My research is about developing novel physical tagging mechanisms to embed unobtrusive fingerprints and data in everyday objects/materials for seamless, ubiquitous identification. I use computer vision, machine learning, and digital fabrication to achieve my human-computer interaction (HCI) vision. I am a 2021 Adobe Research Fellow and a 2020 Siebel Scholar.
G-ID is a method that utilizes the subtle patterns left by the 3D printing process to distinguish and identify objects that otherwise look similar to the naked eye.
