World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
38829
World Ranking
2020
National Ranking
1021

Research.com Recognitions

  • 2003 - Fellow of Alfred P. Sloan Foundation

Overview

Ronald Fedkiw is affiliated with Stanford University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in several subfields such as Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, and Statistical and Nonlinear Physics.

The main topics covered in their work include 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Human Pose and Action Recognition, Model Reduction and Neural Networks, Advanced Numerical Analysis Techniques, Advanced Vision and Imaging, and Robotic Path Planning Algorithms.

Fedkiw has published extensively, with frequent appearances in venues like arXiv (Cornell University), Journal of Computational Physics, Computer Graphics Forum, Proceedings of the ACM on Computer Graphics and Interactive Techniques, and SSRN Electronic Journal.

  • A Pixel-Based Framework for Data-Driven Clothing, 2020, Computer Graphics Forum
  • Addressing discontinuous root-finding for subsequent differentiability in machine learning, inverse problems, and control, 2023, Journal of Computational Physics
  • Recovering Geometric Information with Learned Texture Perturbations, 2021, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Recovering Geometric Information with Learned Texture Perturbations, 2020, arXiv (Cornell University)
  • Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth, 2020, arXiv (Cornell University)

Collaborative work is a notable aspect of Fedkiw's research, with frequent co-authors including Joseph Teran, Yongxu Jin, Zhenglin Geng, Jane Y. Wu, and Yizhou Chen. These collaborations highlight a network of researchers working in related areas to advance topics in computational mechanics, graphics, and vision.

Among their distinctions, Ronald Fedkiw was named a Fellow of the Alfred P. Sloan Foundation in 2003.

Best Publications

  • Level Set Methods and Dynamic Implicit Surfaces

    Stanley Osher;Ronald Fedkiw

  • A Non-oscillatory Eulerian Approach to Interfaces in Multimaterial Flows (the Ghost Fluid Method)

    Ronald P Fedkiw;Tariq Aslam;Barry Merriman;Stanley Osher

  • Level set methods: an overview and some recent results

    Stanley Osher;Ronald P. Fedkiw

  • A hybrid particle level set method for improved interface capturing

    Douglas Enright;Ronald Fedkiw;Joel Ferziger;Ian Mitchell

  • Visual simulation of smoke

    Ronald Fedkiw;Jos Stam;Henrik Wann Jensen

  • Simulation of clothing with folds and wrinkles

    R. Bridson;S. Marino;R. Fedkiw

  • Practical animation of liquids

    Nick Foster;Ronald Fedkiw

  • Robust treatment of collisions, contact and friction for cloth animation

    Robert Bridson;Ronald Fedkiw;John Anderson

  • Animation and rendering of complex water surfaces

    Douglas Enright;Stephen Marschner;Ronald Fedkiw

  • A Boundary Condition Capturing Method for Multiphase Incompressible Flow

    Myungjoo Kang;Ronald P. Fedkiw;Xu-Dong Liu

  • Simulating water and smoke with an octree data structure

    Frank Losasso;Frédéric Gibou;Ron Fedkiw

  • A Boundary Condition Capturing Method for Poisson's Equation on Irregular Domains

    Xu-Dong Liu;Ronald P. Fedkiw;Myungjoo Kang

  • A second-order-accurate symmetric discretization of the Poisson equation on irregular domains

    Frederic Gibou;Ronald P. Fedkiw;Li-Tien Cheng;Myungjoo Kang

  • Fast surface reconstruction using the level set method

    Hong-Kai Zhao;S. Osher;R. Fedkiw

  • Physically based modeling and animation of fire

    Duc Quang Nguyen;Ronald Fedkiw;Henrik Wann Jensen

  • Invertible finite elements for robust simulation of large deformation

    G. Irving;J. Teran;R. Fedkiw

  • Automatic determination of facial muscle activations from sparse motion capture marker data

    Eftychios Sifakis;Igor Neverov;Ronald Fedkiw

  • A review of level-set methods and some recent applications

    Frédéric Gibou;Ronald Fedkiw;Stanley J. Osher

  • Nonconvex rigid bodies with stacking

    Eran Guendelman;Robert Bridson;Ronald Fedkiw

  • A vortex particle method for smoke, water and explosions

    Andrew Selle;Nick Rasmussen;Ronald Fedkiw

Frequent Co-Authors

Stanley Osher
Stanley Osher University of California, Los Angeles
Joseph Teran
Joseph Teran University of California, Los Angeles
Eftychios Sifakis
Eftychios Sifakis University of Wisconsin–Madison
Guillermo Sapiro
Guillermo Sapiro Princeton University
Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Hongkai Zhao
Hongkai Zhao Duke University
Marie-Paule Cani
Marie-Paule Cani École Polytechnique
Jarek Rossignac
Jarek Rossignac Georgia Institute of Technology
Joel H. Ferziger
Joel H. Ferziger Stanford University
Sandy Napel
Sandy Napel Stanford University

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