Dorian Chan

Papers

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About

Dorian Chan is a rising researcher in computational imaging and computer graphics, whose work pushes the boundaries of how light can be programmed for practical sensing and display. His key research areas include computational light transport, holography, and novel optical systems for robotics and vision. Chan’s major contribution, exemplified by his highly cited paper “Holocurtains: Programming Light Curtains via Binary Holography” (2022, 13 citations), is the invention of a method to generate arbitrary-shaped light curtains—surfaces of light used for 3D object detection—breaking free from the traditional limitation to ruled surfaces. This innovation enables more flexible and precise sensing for applications in autonomous navigation and interactive environments. By leveraging binary holography, Chan demonstrates how to program complex light patterns with minimal hardware, significantly expanding the design space for active illumination systems. His work has been recognized for its potential to transform how robots and vision systems perceive their surroundings, earning him a reputation as a creative problem-solver at the intersection of optics and computation. Chan’s research continues to inspire new approaches to non-line-of-sight imaging and adaptive sensing.