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

Chenfanfu Jiang is an Associate Professor of Mathematics at the University of California, Los Angeles. He is the director of UCLA's Artificial Intelligence and Visual Computing (AIVC) Lab. His expertise lies in the creation, representation, comprehension, and enhancement of digital 2D/3D content, neural radiance fields, physics-based dynamics, and embodied AI systems, propelling advancements in computer graphics, computer vision, computational mechanics, artificial intelligence, and robotics. He has authored over 100 papers in these disciplines, including more than 40 in prestigious ACM SIGGRAPH/Transactions on Graphics. Jiang has developed computational algorithms that have been widely implemented in computer graphics, robotics, and computational mechanics. His notable contributions include the Affine Particle-In-Cell (APIC) method for fluid dynamics, the Moving Least Squares Material Point Method (MLS-MPM) for continuum materials, and the Incremental Potential Contact (IPC) method for solid dynamics. His research has received funding from the NSF, DOE, and industrial partners such as Toyota, Amazon, Sony, and Adobe. His awards include the UCLA Edward K. Rice Outstanding Doctoral Student Award (2015), NSF CRII award (2018), NSF CAREER award (2020), Amazon Science Hub Award (2023), Sony Faculty Innovation Award (2023), and best paper awards at SCA, MIG, and ICRA. Jiang received his Ph.D. in computer science from UCLA in 2015, co-advised by Demetri Terzopoulos and Joseph Teran. Before his tenure at UCLA, he was an Assistant Professor at the University of Pennsylvania in Computer and Information Science (2017-2021).