Nathan King

PhD Candidate | University of Waterloo

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My research focuses on computational methods involving closest point surface representations, with a particular interest in geometry processing and physics-based animation applications. I also have experience with other common surface representations, e.g., level-sets, point clouds, and meshes. I am supervised by Christopher Batty (UW) and Steve Ruuth (SFU).

Prior to starting my PhD, I developed computer vision/image processing algorithms in the marine radar industry for 2 years. I completed my MSc in Applied and Computational Math at Simon Fraser University in 2015. I received my BSc in Applied Math and Physics (Joint Honours) at Memorial University of Newfoundland in 2013.

I am currently looking for research scientist positions or postdocs working on geometry processing and/or physics-based animation to start early 2025.

News

Sep 26, 2024 Our SIGGRAPH Asia 2024 Technical Communications paper, “Editing Fluid Flows with Divergence-Free Biharmonic Vector Field Interpolation” and poster “A Simple Heat Method for Computing Geodesic Paths on General Manifold Representations” are available.
Sep 20, 2024 Our SIGGRAPH Asia 2024 paper, “Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs” is available online.
Jun 03, 2024 Our ACM TOG paper, “A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing” is now available with code.

Publications

  1. SA2024_Poster_Rep_Image.jpg
    A Simple Heat Method for Computing Geodesic Paths on General Manifold Representations
    Nathan King, Steven Ruuth, and Christopher Batty
    ACM SIGGRAPH Asia Posters, 2024
    Abstract Poster
  2. SA_2024_Tech_Comm_Preview.jpg
    Editing Fluid Flows with Divergence-Free Biharmonic Vector Field Interpolation
    Tümay Özdemir, Jiamin Shi, Nathan King, and Christopher Batty
    ACM SIGGRAPH Asia Technical Communications, 2024
    PDF
  3. PWoS_representative.jpg
    Projected Walk on Spheres: A Monte Carlo Closest Point Method for Surface PDEs
    Ryusuke Sugimoto, Nathan King, Toshiya Hachisuka, and Christopher Batty
    ACM SIGGRAPH Asia (Conference Papers), 2024
    Project PDF
  4. CPM_IBC_GP.png
    A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
    Nathan King, Haozhe Su, Mridul Aanjaneya, Steven Ruuth, and Christopher Batty
    ACM Transactions on Graphics, 2024
    Project PDF Video Code
  5. harmonic_maps_hand.png
    Solving Variational Problems and Partial Differential Equations that Map between Manifolds via the Closest Point Method
    Nathan King, and Steven Ruuth
    Journal of Computational Physics, 2017
    Project PDF Code

Course Projects

  1. ThinShellPreview.png
    Thin Shell Simulation with Environmental Stimuli
    Nathan King
    PDF
  2. ImageSegmentationPreview.png
    Segmentation of Piecewise Constant Grayscale Images
    Nathan King
    PDF Code

Experience

Jun 2023 - Nov 2023 Research Scientist Intern
Meta - Reality Labs Research
Aug 2021 - Feb 2022 Research Intern
Meta - Reality Labs Research
May 2020 - Dec 2020 Sessional Instructor
University of Waterloo - Cheriton School of Computer Science
Mar 2018 - Aug 2018 Research Assistant
Simon Fraser University - Department of Mathematics
Mar 2016 - Jun 2018 Research Scientist
Rutter Inc. - Department of Research and Development

Awards

Jan 2024 - Dec 2024 Ontario Graduate Scholarship
Government of Ontario - University of Waterloo
Jan 2022 - Dec 2023 QEII Graduate Scholarship in Science & Technology
Government of Ontario - University of Waterloo
Sep 2015 - Apr 2016 Postgraduate Scholarship (Doctoral)
NSERC - Simon Fraser University
May 2013 - Apr 2014 Canadian Graduate Scholarship (Masters)
NSERC - Simon Fraser University