This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research at the Massachusetts Institute of Technology (MIT) to develop discretization-free methods for processing geometric shapes and vector fields on computers. The key products and services to be delivered include: New techniques for animating computer graphics characters without the traditional step of discretizing the...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $269,343 to the University of California, San Diego for research exploring geometric approaches to physical simulations. The award aims to develop new computational methods using non-Euclidean geometry to more accurately simulate turbulent fluids and solve partial differential equations on infinite...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...
The National Science Foundation awarded a $300,000 Project Grant to the University of Southern California (USC) to develop training materials for students and researchers in science, technology, engineering, and mathematics (STEM) fields. This grant, provided through the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the disconnect between advanced cyberinfrastructure and educational preparedness. The key products and services to be delivered...
This $319,951 Project Grant, awarded by the National Science Foundation (NSF) Division of Mathematical Sciences, supports the development and analysis of new computational methods for studying complex fluid systems on deforming surfaces. The key products and services to be delivered through this 3-year award include: Developing and analyzing a finite element method for tangential fluid systems on moving surfaces, a multi-component surface flow problem, and a fluid-elastic interface model to...
This $209,530 federal Project Grant awarded by the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) supports the development of computational techniques for efficient, scalable, and versatile processing of large unstructured mesh data. Led by Clemson University's Division of Research, the project aims to disrupt the serialized approach to mesh processing by introducing pipelined and overlapped techniques that enable concurrent data provisioning and consumption....
This $299,992 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program, with a period of performance from July 1, 2025 to June 30, 2028, will fund research to develop novel computational techniques for controlling geometric structures in physical and biological systems. The research objectives include: Advancing the theoretical development of unfitted finite element methods (FEMs) to create robust and user-friendly numerical techniques for...
This four-year, $400,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of new neural material models for more realistic computer graphics at the University of California, San Diego. Specifically, the university researchers will build machine learning-based models to more accurately simulate the complex reflectance patterns of materials at fine scales, going beyond current parametric models. The neural...
This $1.2 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a geometry-aware and deep learning-based cyberinfrastructure for scalable modeling of solids and fluids at the University of California, Irvine from June 2022 to May 2025. The university will build a library of deep neural networks trained to solve single-physics...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of discretization-free methods for geometry processing and computer graphics at the University of Southern California (USC). The key products and services to be delivered include:
New techniques for animating computer graphics characters that bypass the traditional discretization process.
Discretization-free interpolation methods to visualize and compute data across entire geometric shapes, such as climate readings or vector fields.
Discretization-free representations of vector fields to model phenomena like hair, wind, or electric fields.
This research aims to overcome limitations of traditional discretization approaches and enable more robust, flexible, and machine learning-compatible geometry processing methods. The award will fund graduate student education at USC and MIT as part of this multidisciplinary effort spanning mathematics, engineering, and computer science applications.