Heng Chi

Research Scientist at Siemens

Princeton, New Jersey, United States

About

Experience

  • Research Scientist at Siemens
    Jul 2019 - Present · 7 yrs

  • Gradudate research Assistant at Georgia Institute of Technology
    Jan 2015 - Jul 2019 · 4 yrs 7 mos

    Conducting research on the following areas: 1) Advanced discretizations and numerical methods for PDEs (such as Virtual Element Method (VEM) and polygonal finite element method), with special interests in mechanics problems involving nonlinear material behavior and finite deformations. 2) Single- and multiple- material topology optimization of nonlinear elastic materials. 3) Material microstructure design optimization considering multi-physics, such as electrical-mechanical coupling. 4) Additive manufacturing material microstructure and soft materials

  • Visiting Scholar at Pontifícia Universidade Católica do Rio de Janeiro
    May 2017 - Jun 2017 · 2 mos

    Collaborating on: (1) propose a 3D topology optimization formulation on arbitrary polyhedral meshes using the Virtual Element Method (VEM). (2) developed a robust 3D polyhedral meshing tool in Matlab that generates high-quality polyhedral meshes for both Cartesian and non-Cartesian domains.

  • University of Illinois at Urbana-Champaign (Urbana-Champaign, Illinois Area)
    • Graduate teching assistant
      Jan 2013 - Dec 2014 · 2 yrs

      Assisted teaching for the following courses: 1) CEE570: Finite Element Methods 2) CEE470: Structural Analysis 3) CEE 360: Structural Engineering

    • Graduate research Assistant
      May 2012 - Dec 2014 · 2 yrs 8 mos

      1) developed displaced-based and mixed polygonal and polyhedral finite element formulations for finite elasticity 2) developed a variational theory and its computational algorithm that can efficiently and effectively model rigid inclusions of arbitrary shape embedded in elastomeric matrices in 2D and 3D when subjected to finite deformation.

  • Undergraduate Research Assistant at Tianjin University
    Sep 2010 - Jul 2011 · 11 mos

    1) Developed finite element models in FORTRAN for simulating the deformation fields in excavated slopes using the Duncan-Chang constitutive model. 2) Implemented the back-propagation (BP) Neural Network model in FORTRAN and trained the BP Neural Network to predict the deformation of excavated slopes based on extensive data from finite element simulations.