Robert Konrad


Hometown: Montreal, Canada
Stanford University

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Research: Robert's research interests lie at the intersection of computational displays and human physiology with a specific focus on virtual and augmented reality systems. He has recently worked on relieving the vergence-accommodation conflict in current VR and AR displays via non-traditional methods such as monovision and accommodation-invariant displays. He has also worked on creating computationally efficient cinematic VR capture systems for live streaming of stereo omni-directional VR content. 

Bio: Robert is a 3rd year PhD candidate in the Electrical Engineering department at Stanford University. He is mentored by Professor Gordon Wetzstein in the Stanford Computational Imaging Group. He received his Bachelor's degree from the ECE department at the University of Toronto in 2014, and his Master's degree from the EE department at Stanford University in 2016.