Design Computing: From Designing Everyday Things to Extending the Reality



Computational techniques such as optimization and machine learning techniques have revolutionized the way we design and experience VR/AR/MR. In this talk, I will talk about our recent AI-driven inventions for creating novel computational designs and virtual experiences, from interior design, architectural design, toy design, sound design, to game design and VR-based training experiences. For example, using optimization techniques, we can automatically generate different personalized VR-based training scenarios for training people to protect themselves during an earthquake. Using machine learning techniques, we can teach a computer to automatically synthesize realistic sounds to make a 360 Panorama image "audible", so that you feel "you are really there" when viewing the 360 panorama image in virtual reality.



Lap-Fai (Craig) Yu is an assistant professor at the Computer Science Department at George Mason University, where he leads the Design Computing and Extended Reality (DCXR) group. He works on computer graphics, vision, human-computer interaction, and virtual reality, particularly in AI and data-driven techniques for computational design. He obtained his Ph.D. degree in Computer Science from UCLA with an Outstanding Recognition in Research Award. His research has been featured by New Scientist, the UCLA Headlines, and the IEEE Xplore Innovation Spotlight; and has won Best Paper Honorable Mention Awards at 3DV and CHI conferences. He received an NSF CRII award and an NSF CAREER award for his research in computational design and virtual reality. His lab is supported by the NSF, Microsoft, Adobe, Google, Nvidia, and Oracle.



Topic: P&T Talk Craig Yu

Time: Oct 5, 2020 11:30 AM Eastern Time (US and Canada)


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