About me

Hello, I am Canberk Ekmekci (pronounced Jahn-burk Ehk-mehk-jee), a fifth-year Ph.D. student in the Department of Electrical and Computer Engineering at the University of Rochester. I received my B.S. degree in Electrical and Electronics Engineering from Koc University, Istanbul, Turkey in 2019. I am currently conducting my research under the guidance of Prof. Mujdat Cetin in the Signal, Data, and Imaging Sciences (SDIS) Lab. As a part of collaborative projects, I also hold a secondary membership in the University of Rochester Seismological Laboratory (URSeismo).

My research interests reside primarily in the field of computational imaging, with a specific focus on developing and analyzing algorithms for imaging inverse problems. Recently I focus on learning-based modeling for imaging applications, Plug-and-Play algorithms, deep algorithmic unrolling for image reconstruction, automatic parameter tuning for iterative image reconstruction algorithms, and uncertainty characterization for imaging inverse problems.

News

• One paper is accepted in Geophysical Journal International.
• One paper is accepted in Deep Learning and Inverse Problems Workshop at NeurIPS 2023.
• One paper is accepted in Electronic Imaging 2023.
• One paper is accepted in IEEE Transactions on Computational Imaging.
• One paper is accepted in 2nd Learning for Computational Imaging Workshop at ICCV 2021.
• One paper is accepted in Electronic Imaging 2021.