Graduate Fellow: Ling-Qi Yan (2017)

Ling-Qi Yan, from Anhui, China

Studying at UC Berkeley

Research: Ling-Qi's research is mainly focused on physically-based rendering, especially at real world complexity, while exploiting GPU power to make it fast until ultimately real-time. He derives physically-correct appearance models from material details, to introduce new phenomena that could not be resolved before, including glints and animal fur rendering techniques which have been adopted by the movie and video game industries. He is also devoted to applying sampling and reconstruction theory together with light transport techniques to make real-time ray tracing feasible in the near future. Research Link

Bio: Ling-Qi is a fourth year Ph.D. candidate in the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley, advised by Ravi Ramamoorthi at University of California, San Diego. He received his bachelor degree in Computer Science from Tsinghua University in China in 2013, under the supervision of Kun Xu and Shi-Min Hu. His research interest is physically-based rendering, including appearance modeling, volumetric scattering, light transport algorithms and sampling & reconstruction theory.