Researcher

Dr Yu Guang Wang

Field of Research (FoR)

Applied Mathematics

Numerical and Computational Mathematics

Statistics

Knowledge Representation and Machine Learning

Computer Graphics

Pattern Recognition and Data Mining

SEO tags

Expanding Knowledge

Biography

I am a postdoctoral fellow in School of Mathematics and Statistics in UNSW Sydney. Before that, I was a postdoctoral fellow in ICERM, Brown University in Feb 2018 to May 2018. I was an ARC Research Fellow in Statistics in La Trobe University, Melbourne in Sep 2016 to Jan 2018. I was a one-year postdoctoral fellow in City University of Hong Kong in Oct 2015 to Aug 2016 and a half-year research assistant in University of New South Wales,...view more

I am a postdoctoral fellow in School of Mathematics and Statistics in UNSW Sydney. Before that, I was a postdoctoral fellow in ICERM, Brown University in Feb 2018 to May 2018. I was an ARC Research Fellow in Statistics in La Trobe University, Melbourne in Sep 2016 to Jan 2018. I was a one-year postdoctoral fellow in City University of Hong Kong in Oct 2015 to Aug 2016 and a half-year research assistant in University of New South Wales, Australia in Apr 2015 to Oct 2015. I obtained my PhD in UNSW Australia under the supervision of Prof Ian Sloan, A/Prof Robert Womersley and Prof Michael Cowling.

I am interested in computational mathematics, statistical analysis, data science and machine learning, in particular in

Tight frames, Fast algorithms, Sparse approximation
Geometric Deep Learning, Distributed Learning, Optimization Algorithms, Data Theory, Information Geometry
Computational Astrophysics and Astrostatistics
Spatial Statistics and Bayesian Methods
Infinite-dimensional SDEs, Random fields

My Research Supervision

Areas of supervision

Computational Mathematics, Data Science, Machine Learning

I am/was a tutor for the following courses in UNSW Sydney.

Semester 3 2019, MATH3101/5305 Computational Mathematics (Numerical Methods for PDEs)
Semester 2 2018, MATH2089 Numerical Methods and Statistics
Semester 1 2015, MATH1131 Mathematics 1A
Semester 2 2014, MATH1231 Mathematics 1B, MATH1241 Higher Mathematics 1B, MATH2019 Engineering Mathematics 2E

I have co-supervisor of two masters students in Statistics and Data Science at UNSW, 2018--2019.

Yi Guo, thesis title: Cosmo-Encoder: A Bayesian deep learning approach for cosmic microwave background inpainting.
Kai Yi, thesis title: Variational autoencoder for cosmic microwave background image inpainting.

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