In his research, Doga develops novel tagging mechanisms to embed markers and metadata in real-world objects that allow users to seamlessly interact with them in augmented reality (AR) and ubiquitous computing. He uses digital fabrication, computer vision, and machine learning methods to achieve his human-computer interaction (HCI) vision. He is 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.
