Canberk Ekmekci

Hello, I am Canberk Ekmekci (pronounced Jahn-burk Ehk-mehk-jee), a 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 currently conduct my research under the guidance of Prof. Mujdat Cetin in the Signal, Data, and Imaging Sciences (SDIS) Lab.

My research interests lie primarily in the field of computational imaging, with a particular emphasis on developing and analyzing algorithms for imaging inverse problems. By leveraging techniques from machine learning, sampling, optimization, statistics, and uncertainty quantification, I aim to create trustworthy (robust, reliable, and interpretable) imaging frameworks that integrate data-driven and model-based methodologies in a principled manner. My current research explores topics such as:

• Bayesian Neural Network-Based Image Reconstruction Methods
• Calibration Techniques for Probabilistic Image Reconstruction Methods
• Automated Parameter Tuning for Iterative Image Reconstruction Algorithms
• Developing Tailored Algorithms for Specific (Imaging) Inverse Problems

Outside of research, I am a passionate Philadelphia 76ers fan and have been closely following the NBA since 2005. I am also a self-declared professional music listener, an avid collector of trading cards, and a casual supporter of the Buffalo Bills. I enjoy hiking and learning about cars as well.