Stephanie Wang

Stephanie Wang
University of California, San Diego | UCSD · Department of Computer Science and Engineering (CSE)

Ph.D in Mathematics

About

9
Publications
1,475
Reads
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92
Citations
Additional affiliations
August 2020 - June 2021
University of California, San Diego
Position
  • PostDoc Position
April 2020 - July 2020
University of California, Los Angeles
Position
  • Professor (Associate)
Description
  • Teaching Math 156 (Machine Learning) and Math 32A (Calculus of Several Variables).
June 2019 - September 2019
École Polytechnique Fédérale de Lausanne
Position
  • Researcher
Description
  • Physics-based simulations, post-processing, and data analysis of snow and tire interaction. Consulting and teaching simulation tools.
Education
July 2014 - March 2020
University of California, Los Angeles
Field of study
  • Mathematics
August 2009 - January 2013
National Taiwan University
Field of study
  • Mathematics

Publications

Publications (9)
Preprint
Full-text available
Recent techniques have been successful in reconstructing surfaces as level sets of learned functions (such as signed distance fields) parameterized by deep neural networks. Many of these methods, however, learn only closed surfaces and are unable to reconstruct shapes with boundary curves. We propose a hybrid shape representation that combines expl...
Article
We present a Material Point Method for visual simulation of baking breads, cookies, pancakes and similar materials that consist of dough or batter (mixtures of water, flour, eggs, fat, sugar and leavening agents). We develop a novel thermomechanical model using mixture theory to resolve interactions between individual water, gas and dough species....
Article
Full-text available
We present novel techniques for simulating and visualizing ductile fracture with the Material Point Method (MPM). We utilize traditional particle-based MPM [Stomakhin et al. 2013; Sulsky et al. 1994] as well as the Lagrangian energy formulation of [Jiang et al. 2015] that utilizes a tetrahedron mesh, rather than particle-based estimation of the def...
Article
We present a new hybrid Lagrangian Material Point Method for simulating elastic objects like hair, rubber, and soft tissues that utilizes a Lagrangian mesh for internal force computation and an Eulerian mesh for self collision as well as coupling with external materials. While recent Material Point Method (MPM) techniques allow for natural simulati...
Article
The animation of delicate vortical structures of gas and liquids has been of great interest in computer graphics. However, common velocity-based fluid solvers can damp the vortical flow, while vorticity-based fluid solvers suffer from performance drawbacks. We propose a new velocity-based fluid solver derived from a reformulated Euler equation usin...
Article
Full-text available
Porous brittle solids evidence complex mechanical behavior, where localized failure patterns originate from mechanical processes on the microstructural level. In order to investigate the failure mechanics of porous brittle solids, we outline a general stochastic and numerical microstructure-based approach. To this end, we generate random porous mic...
Article
We describe a new algorithm that solves a classical geometric problem: Find a surface of minimal area bordered by an arbitrarily prescribed boundary curve. Existing numerical methods face challenges due to the non-convexity of the problem. Using a representation of curves and surfaces via differential forms on the ambient space, we reformulate this...

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