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Robert Konrad

Stanford University

PhD Candidate EE

350 Serra Mall
           Packard Building, Room 225
           Stanford, CA 94305

rkkonrad [at] stanford [dot] edu


About

I am a 3rd year PhD candidate in the Electrical Engineering Department at Stanford University, advised by Professor Gordon Wetzstein. My research interests lie at the intersection of computational displays and human physiology with a specific focus on virtual and augmented reality systems. I have recently worked on relieving vergence-accommodation and visual-vestibular conflicts present in current VR and AR displays, as well a computationally efficient cinematic VR capture systems. I received my Bachelor’s Degree from the ECE department at the University of Toronto in 2014, and my Master’s Degree from the EE Department at Stanford University in 2016.

Publications

Accommodation-invariant Computational Near-eye Displays

R. Konrad, N. Padmanaban, K. Molner, E. A. Cooper, G. Wetzstein. “Accommodation-invariant Computational Near-eye Displays”, ACM SIGGRAPH (Transactions on Graphics 36, 4), 2017.


Evaluation of Accommodation Response to Monovision for Virtual Reality

Nitish Padmanaban, Robert Konrad, and Gordon Wetzstein, "Evaluation of Accommodation Response to Monovision for Virtual Reality", in 3D Image Acquisition and Display: Technology, Perception and Applications, OSA Technical Digest (online) (Optical Society of America, 2017), paper DM2F.3.


Optimizing virtual reality for all users through gaze-contingent and adaptive focus display

N. Padmanaban, R. Konrad, T. Stramer, E.A. Cooper, and G. Wetzstein. Optimizing virtual reality for all users through gaze-contingent and adaptive focus display. Proceedings of the National Academy of Sciences. 2017.


Focus-tunable and monovision near-eye displays

R. Konrad, E.A. Cooper, and G. Wetzstein. Novel Optical Configurations for Virtual Reality: Evaluating User Preference and Performance with Focus-tunable and Monovision Near-eye Displays. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI’16). 2016.


Computational Focus-Tunable Near- Eye Display. SIGGRAPH Emerging Technologies

R. Konrad, N. Padmanaban, E.A. Cooper, and G. Wetzstein. 2016. Computational Focus-Tunable Near- Eye Display. SIGGRAPH Emerging Technologies 2016.


A GPU-Accelerated Physical Layer for Simulating Wireless Networks

R. Konrad, B. Hamilton, B. Cheng. A GPU-Accelerated Physical Layer for Simulating Wireless Networks. Proceedings of the 17th Communications & Networking Simulation Symposium (CNS'14). 2014.


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