Associate Professor
Department of Mathematics
University of California, Los Angeles

Lab: Slichter Hall 3860
Office: MS 7619E
chenfanfu.jiang-at-gmail.com

Research interest: computer graphics/vision, AIGC (2D,3D,4D), embodied AI, robotics.
UCLA Artificial intelligence & Visual Computing Laboratory
I work with students from both Math and CS. Contact me if you are interested in joining or visiting!

Publications | CV | Google Scholar | Physics-Based Simulation (Book)

Chenfanfu Jiang is an Associate Professor of Mathematics and the director of the Artificial Intelligence and Visual Computing (AIVC) Lab at the University of California, Los Angeles (UCLA). He has co-authored over 110 papers in disciplines spanning computer graphics, computer vision, computational physics, embodied artificial intelligence, and robotics, including more than 45 in ACM SIGGRAPH/SIGGRAPH Asia/Transactions on Graphics. He has developed well-known algorithms such as the Affine Particle-In-Cell (APIC) method for fluid dynamics, the Moving Least Squares Material Point Method (MLS-MPM) for versatile materials, and the Incremental Potential Contact (IPC) method for contact mechanics. His research has received funding from the NSF, the DOE, and industrial partners including Toyota, Amazon, Style3D, Sony, Adobe, and Snap. His awards include the UCLA Engineering Outstanding Doctoral Student Award (2015), the NSF CISE CRII Award (2018), the NSF CAREER Award (2020), the Amazon Science Award (2023), the Sony Faculty Innovation Award (2023), the Style3D Faculty Research Award (2024), and Best Paper Awards at the Symposium on Computer Animation (SCA), Motion in Games (MIG), and the International Conference on Robotics and Automation (ICRA). He received his Ph.D. in Computer Science from UCLA in 2015, co-advised by Professors Demetri Terzopoulos and Joseph Teran. He was an Assistant Professor of Computer and Information Science at the University of Pennsylvania from 2017 to 2021.