Alvin Wong

 Alvin Wong

Alvin T. Wong

  • Courses2
  • Reviews5

Biography

University of California Irvine - Mathematics


Resume

  • 2006

    Cantonese

    Mandarin Chinese

    English

    Ph.D.

    Researched on computational conformal and quasiconformal geometry and its aplication in medical imaging

    registration and computer graphics.

    Applied Math

  • 2005

    Master of Philosophy

    Dissertation titled \"On the Epsilon-Discrete Holomorphic Deformations of Holomorphic Functions\".

    Mathematics

  • 2002

    Bachelor of Science

    Minored in Information Technology and graduated with First Class Honor.

    Mathematics and Physics

  • Numerical Analysis

    Pattern Recognition

    C++

    Haskell

    Mathematica

    Image Processing

    Programming

    Algorithmic Trading

    Algorithms

    Probability Theory

    Mathematical Modeling

    Python

    Scientific Computing

    Machine Learning

    Matlab

    Partial Differential Equations

    C#

    Optimization

    Applied Mathematics

    LaTeX

    Wong

    Ph.D.

    Tsz Wai (Alvin)

    Wong

    Ph.D.

    Hong Kong University of Science and Technology

    UCLA

    UC Irvine

    Irvine

    CA

    Researched on highly efficient algorithms for surface mapping which work on 3D triangular meshes directly without parametrization. Highly vectorized codes are written in Matlab and its MEX library interfacing C

    and then applied on intrinsic surface mappings and surface uniformization. Used Python to produced reusable and modular codes based on existing Matlab and C codes.

    Postdoctoral Scholar

    UC Irvine

    Taught Introduction to Programming

    Intermediate Programming

    Advanced Programming

    Data Structure and Algorithms

    Probability for Life Science Students

    Probability Theory and Optimization.

    UCLA

    Teaching Assistant

    Taught Introduction to Lie Groups

    and Linear and Abstract Algebra I & II.

    Hong Kong University of Science and Technology

    UCLA

    Designed algorithms using differential geometry to model shape changes in biological surfaces. This involves writing algorithms to compute geometrical quantities from 3D triangular meshes using Matlab. Registrations are computed to find the best correspondence between these surfaces minimizing distortions quantified by the Beltrami coefficients and differences in curvatures. Visualization is then produced by C++ with OpenGL for publication.

    Research Assistant

    Greater Los Angeles Area

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