News


About Me

Ryusuke Sugimoto is a postdoctoral researcher (ISTA Fellow) at ISTA, working with Prof. Chris Wojtan. His research focuses on computer graphics and physics-based simulation, with an emphasis on integral equations and Monte Carlo methods for simulation and geometry processing. He received his PhD in computer science from the University of Waterloo, where he was advised by Profs. Toshiya Hachisuka and Christopher Batty. His doctoral work was recognized with the Eurographics PhD Award 2026. He has also interned at SideFX, contributing to the development of the visual effects software Houdini, and at Adobe, where he carried out graphics research.


Research Interests

  • Physics-based animation
  • Computer graphics
  • Monte Carlo methods
  • Integral equations
  • Numerical analysis

Work Experience

  • Institute of Science and Technology Austria (ISTA), Klosterneuburg, NOE, Austria
    October 2025 - Present
    Postdoctoral Researcher
    Adobe, San Jose, CA, USA
    May 2024 - August 2024
    Research Scientist Intern
    SideFX, Toronto, ON, Canada
    September 2023 - April 2024 (Part-Time)
    May 2023 - August 2023 (Full-Time)
    3D Software Developer
    Dayta AI, Hong Kong
    June 2019 - August 2019
    Machine Learning Engineer Intern

Education

  • University of Waterloo, Waterloo, ON, Canada
    September 2020 - September 2025
    PhD in Computer Science
  • The Hong Kong University of Science and Technology (HKUST), Hong Kong
    September 2016 - December 2019
    Bachelor of Science in Computer Science and Mathematics
    First Class Honors

Selected Awards


Professional Services

Poster Chair
  • Symposium on Computer Animation 2026
Program Committee Member
  • Eurographics Symposium on Rendering 2026
Reviewer
  • SIGGRAPH North America 2026, 2025, 2024
  • Eurographics 2026, 2025
  • SIGGRAPH Asia 2025, 2023
  • IEEE TVCG (2025)
  • Pacific Graphics 2024
  • Computer Graphics Forum (2023)

Teaching Experience

Teaching Assistant at UWaterloo
  • CS 335 Computational Methods in Business and Finance (Winter 2023 & Fall 2022)
  • CS 370 Numerical Computation (Spring 2022)
  • CS 476/676 Numeric Computation for Financial Modeling (Winter 2022)
  • CS 488/688 Introduction to Computer Graphics (Fall 2021)
  • CS 231 Algorithmic Problem Solving (Spring 2021)

Publications

Full Journal / Conference Papers

Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs

R. Sugimoto, N. King T. Hachisuka, & C. Batty

ACM SIGGRAPH Asia 2024 (Conference Papers)

Velocity-Based Monte Carlo Fluids

R. Sugimoto, C. Batty, & T. Hachisuka

ACM SIGGRAPH North America 2024 (Conference Papers)

A Practical Walk-on-Boundary Method for Boundary Value Problems

R. Sugimoto, T. Chen, Y. Jiang, C. Batty, & T. Hachisuka

ACM SIGGRAPH North America 2023 (Transactions on Graphics, 42(4))

A Monte Carlo Method for Fluid Simulation

D. Rioux-Lavoie*, R. Sugimoto* (joint first authors), T. Özdemir, N. H. Shimada, C. Batty, D. Nowrouzezahrai, & T. Hachisuka

ACM SIGGRAPH Asia 2022 (Transactions on Graphics, 41(6))

Water Simulation and Rendering from a Still Photograph

R. Sugimoto, M. He, J. Liao, & P. V. Sander

ACM SIGGRAPH Asia 2022 (Conference Papers)

Surface-Only Dynamic Deformables using a Boundary Element Method

R. Sugimoto, C. Batty, & T. Hachisuka

ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2022 (Computer Graphics Forum, 41(8))
Best Paper Award

Short Papers

Galerkin Method of Regularized Stokeslets for Procedural Fluid Flow with Control Curves

R. Sugimoto, J. Lait, C. Batty, & T. Hachisuka

ACM SIGGRAPH Asia 2024 Technical Communications

Technical Reports

Monte Carlo Rendering to Diffusion Curves with Differential BEM

R. Sugimoto, C. Batty, S. Chaudhuri, I. Georgiev, T. Hachisuka, K. Wampler, M. Lukáč

arXiv Preprint

PhD Thesis

Toward General-Purpose Monte Carlo PDE Solvers for Graphics Applications

R. Sugimoto

University of Waterloo, 2025

Invited Talks

Toward General-Purpose Monte Carlo PDE Solvers for Graphics Applications
  • Shapr 3D, February 2026
  • University of Toronto, November 2025
Monte Carlo Methods for Fluid Simulation
  • NVIDIA High-Fidelity Physics Research Group, February 2025
  • Aoyama Gakuin University, November 2024
  • Institute of Science and Technology Austria (ISTA), November 2024
  • RWTH Aachen University, November 2024
  • The University of Tokyo, September 2024
Projected Walk on Spheres:
A Monte Carlo Closest Point Method for Surface PDEs
  • Visual Computing 2025 (Remote, Japan), September 2025
  • Forum on Information Technology 2025 (Remote, Japan), September 2025
  • SIGGRAPH Asia 2024, December 2024
Galerkin Method of Regularized Stokeslets
for Procedural Fluid Flow with Control Curves
  • SIGGRAPH Asia 2024, December 2024
Velocity-Based Monte Carlo Fluids
  • Forum on Information Technology 2025 (Remote, Japan), September 2025
  • Visual Computing 2024 (Tokyo, Japan), September 2024
  • SIGGRAPH North America 2024, August 2024
A Practical Walk-on-Boundary Method for Boundary Value Problems A Monte Carlo Method for Fluid Simulation
  • Visual Computing 2023 (Japan, remote), September 2023
  • SIGGRAPH Asia 2022, December 2022
Water Simulation and Rendering from a Still Photograph
  • Visual Computing 2023 (Japan, remote), September 2023
  • SIGGRAPH Asia 2022, December 2022
Surface-Only Dynamic Deformables using a Boundary Element Method
  • Symposium on Computer Animation 2022, September 2022