Zhen Chen

Zhen Chen

Research Scientist/Engineer

Adobe

Biography

I am a Reserach Scientist/Engineer at Adobe Research, working with Dr. Danny M. Kaufman. My current research focuses on improving the efficiency of physical simulations by investigating the physical characteristics and geometric properties of the elastic models, as well as developing robust and efficient simulation techniques. I am also deeply interested in real-time mesh processing for gaming applications, including remeshing, mesh repair, and simplification. A key area of interest is the integration of mesh processing, physical simulation, and deep neural networks to enhance simulation quality and performance.

Prior to joining Adobe, I received my Ph.D. in Computer Science from the University of Texas at Austin, supervised by Prof. Etienne Vouga. Before that, I received my bachelor’s degree in Mathematics from the University of Science and Technology of China in July 2018, where I worked with Prof. Ligang Liu.

Download my resumé

Interests
  • Physical Simulation
  • Geometry Processing
  • Deep Learning
Education
  • Ph.D in Computer Science, 2018 - 2024

    The Univerisity of Texas at Austin

  • BSc in Mathematics, 2018

    Univerisity of Science and Technology of China

Publications

Experience

 
 
 
 
 
Research Scientist/Engineer
May 2024 – Present Seattle
Design efficient physical simulator for general proposed problem.
 
 
 
 
 
Research & Development Intern
May 2023 – August 2023 Bellevue
Develop a convex primitive generation algorithm for efficient collision detection
 
 
 
 
 
Research & Development Intern
May 2022 – August 2022 Bellevue
Develop robust low-poly mesh generation algorithm for real world data.
 
 
 
 
 
Research Intern
June 2021 – August 2021 Seattle (Remote in Austin)
Designed a stable time integration for Incremental Potential Contact(IPC), which preserves the high frequency information.