Doğa Doğan is a recent Ph.D. graduate of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where he worked with Prof. Stefanie Mueller as part of the HCI Engineering Group.

Doğa’s research focuses on the fabrication and detection of machine-readable tags embedded into everyday objects, products, and materials. His work has been nominated for best paper and demo awards at CHI, UIST, and ICRA.

He is a past recipient of the Adobe Research Fellowship and Siebel Scholarship. In the past, Doğa worked at Google, Adobe Research, TU Delft, UCLA Laboratory for Embedded Machines and Ubiquitous Robots, and Max Planck Institute for Intelligent Systems. His website: https://www.dogadogan.com/