Chenfanfu Jiang (蒋陈凡夫)
Computer and Information Science Departments
University of Pennsylvania
My group is part of the computer graphics group at Penn. I received my Ph.D in CS from UCLA in 2015, co-advised by Prof. Demetri Terzopoulos and Prof. Joseph Teran. I received my B.S. in Physics from Class for the Gifted Young (SCGY) of University of Science and Technology of China (USTC) in 2010. I am a co-founder of Jixie Effects Inc, a consulting research scientist of Awowd Inc and VoxelCloud Inc.
My primary research interest is continuum mechanics simulation of solids and fluids for computer graphics. Particularly, I worked on Material Point Method (MPM) simulation
of sand, snow, lava, sponge, foam, chocolate
bunny, froyo, and many other interesting natural phenomena such
as throwing a pie in someone's face
or colliding two planets. I also did Finite Element Methods (FEM), and have done bad things to
an Armadillo such as tearing it apart
with the level set method and cutting it with an adaptive virtual node algorithm. A virtual
centipede, however, was simulated in one piece, walking on a crystal skull through a real time
kinematic/dynamic approach and enhanced with artificial intelligence. I also actively collaborate with researchers in other fields. For example, I studied problems with
computer vision researchers on figuring out physical quantities from a scan, and built a
human-scene interaction platform with Virtual Reality. Simulating human body is also among my topics
and building a virtual injury/surgery simulator helps train combat medics. I am looking for motivated PhD
students, postdocs, as well as undergraduate and graduate visitors. Don't hesitate to send me an email directly if you are interested in computer graphics, physics based
modeling and simulation, 3d animation, numerical partial differential equations, virtual reality, artificial intelligence, etc.
* We have 2 SIGGRAPH papers and 2 SIGGRAPH Asia papers in 2017!
* Our SIGGRAPH 2017 paper on porous water-sand mixture is featured at Gizmodo.
* Our research on the Affine Particle-in-Cell Method (APIC) is one of the key aspects of fluid simulation in Moana. [UCLA News, Phys]
* I received the UCLA Enginnering School Edward K. Rice Outstanding Doctoral Student Award in 2015.
* I co-chaired the 3rd workshop on Visual meets Cognition at CVPR 2017, the 1st workshop on Virtual Reality meets Physical Reality: Modelling and Simulating Virtual Humans and Environments at SIGGRAPH Asia 2016, the 2nd Workshop on Physical and Social Scene Understanding at CogSci 2016.
* Our research on virtual injury and medical training is featured at New Scientist, Gizmodo, Popular Science and Science Net.
* Our paper A Level Set Method for Ductile Fracture received the Best Paper Award in SCA 2013.