Onur Beker

I am a project student at EPFL, as part of the EDIC Fellowship Program. I received my BSc degree in Electrical Engineering, at Bogazici University. I was also a research intern at Max Planck Institute for Intelligent Systems, Physical Intelligence Department, and MGH/HST Athinoula A. Martinos Center for Biomedical Imaging - MR Physics and Instrumentation Group.

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A convolutional neural network (CNN) approach that works synergistically with physics-based reconstruction methods to reduce artifacts in accelerated MRI.

A method for dynamically assembling mobile micromachines, using dielectrophoretic interactions that are modulated by the surface topology of individual parts.