We are proud to announce that Canberk Eckmeki has successfully defended his dissertation: “Uncertainty quantification for learning based computational imaging.” Co-advised by myself and Professors Mujdat and Mateos (ECE), Canberk’s defense on December 5 marks the culmination of a successful research journey (2019–2025). He is now moving on to an exciting role as a Research Engineer at Argonne National Lab. We are immensely proud of his interdisciplinary achievements!
Celebrating Dr. Eckmeki: Bridging AI and Uncertainty in Imaging