Cheng-Kang Ted Chao 趙城綱

cchao8 [AT] gmu [DOT] edu

I am a fifth-year Ph.D. student in Computer Science at George Mason University, working in CraGL under the guidance of Yotam Gingold. I received my M.S. in Computational Science and Engineering from the Georgia Institute of Technology in 2020, where I was advised by Edmond Chow, and my B.S. in Mathematics from National Central University, Taiwan, in 2018.

Throughout my PhD, I spent two summers (2021 and 2024) as a research intern at Adobe Research, working with Jose Echevarria on color lookup table compression for efficient color style transfer (2021), and with Li-Yi Wei and Rubaiat Habib Kazi on vector animation for fluid simulations (2024). I also spent one summer (2023) at Tencent Pixel Lab as an applied research intern, working with Ran Zhang and Changxi Zheng on editing implicit neural fields.

I focus on developing efficient algorithms for intuitive manipulation for digital content, particularly in the domains of image and 3D scene processing. My research leverages sparse optimization, numerical linear algebra, and perceptual models to enable expressive, controllable, and computationally tractable editing workflows.

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