Andersen Ang | Papers | Talks | Notes | Misc.

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Pretentious number: Journal 5, Conference 13, Cited-by 341, h-index 8, Erdös 4

Where I will be at

Update

  • I recently obtained FHEA (Fellow of the Higher Education Academy)
  • I am the module lead Mathematics for AI, to run in Sem-1 AY 24-25
  • I am the module lead Optimisation for machine learning, to run in Sem-2 AY 24-25
  • 3 full PhD scholarships are available**
  • One revised paper submitted to SIAM Journal on Optimization

Research: Theoretical computer science / abstract nonsense

  • Mathematical programming for machine learning
    Continuous structural non-convex non-smooth optimization
  • Nonnegative Matrix Factorization
    Algebra Geometry Numerical analysis
  • Machine Learning applications
Main focus / what I do now Secondary focus / what I do in the future
Convex analysis ODE analysis of optimization
Structural optimization Submodularity optimization
Nonnegative matrix factorization Clifford-Grassmann algebra
Tensors Subtropical algebra
Low-rank models Optimal transport
Identifiability Graph-theoretic machine learning
Optimization on manifold Mathematical foundation of machine learning

Research example: some fancy figures



Experience & Education

  • Lecturer (assistant professor equivalent to US), Electronics & Computer Science
    University of Southampton, UK
    2023 Feb - now

  • Postdoc, Dept. Combinatorics & Optimization
    University of Waterloo, Canada
    2021 Feb - 2023 Jan
    Advisors: Stephen Vavasis & Hans De Sterck

  • PhD (Applied Maths)
    Faculté Polytechnique, Université de Mons, Belgium
    2017 Feb - 2021 Jan
    Advisor: Nicolas Gillis

  • M.Phil (Neural Engineering)
    University of Hong Kong
    2014 Sep - 2016 Sep

  • B.Eng (Electronics & Communication Engineering)
    University of Hong Kong
    2011 Sep - 2014 Aug