Andersen Ang | Papers | Talks | Notes | Misc.

A nobody working on TRASH (Theoretical Research Almost Scientifically-Hollow)

Pretentious numbers: journal 5| conference 13| cited-by 309| h-index 8| i10-index 8| Erdös number 4

CV | GoogleScholar | ORCiD | YouTube

Contact Building 32, University of Southampton, SO17 1BJ, UK Email andersen dot ang at soton dot ac dot uk

Update

4 full PhD scholarships are avaliable for UK students. Strong inrternational students are encouraged to apply more info here

• I (may) participate in the Workshop on Nonsmooth Optimization and Applications, April 8-13, 2024, University of Antwerp, Belgium
• I will give a talk in the Control and Optimisation seminar series in Imperial College London, Oct-11-2023
• I gave a talk in Numerical Analysis in 21st century & retirement of Nick Trefethen, Aug 14-17, University of Oxford
• I presented in Distance-based methods in Machine Learning, University College London, 27-28 June 2023
• I will teach all parts on discrete structres of COMP1215 next semester, see Notes
• I was invited and gave a talk in Mathematical Optimization for Machine Learning, Humboldt-Universitat zu Berlin, 6-Jun-2023
• I recently joined Uni. Southampton as an assistant professor. I am looking for PhD / MSc students, more info here

Research: Theoretical computer science

• Mathematical programming for machine learning
  Continuous nonlinear nonconvex nonsmooth optimization (main focus)
  Discrete combinatorial graph optimization (not main focus)
  
• Nonnegative Matrix Factorization
  Geometry, identifiability, algorithm, modelling
• Machine Learning applications
  Signal processing (single-channel audio blind source separation)
  Imaging (remote sensing)
  Bioinformatics (gene regression)

Things I read recently (ver. 2023 Aug 8)

• Multilevel / multiscale / multigrid methods
• Subdifferential
• Inexact proximal gradient method
• Trust-region methods
• Proximal average
• Proximal bundles
• Zeroth order method
• Semi-smooth Newton's method
• Sum-of-norms clustering
• Wasserstein metric
• Spectral graph theory
• Matorid
• Snake: active contour model
• Sparse optical flow
• Manifold optimization
• Exterior algebra and calculus
• Fractional calculus

Experience & Education

• Lecturer (assistant professor equivalent), School of Electronics and 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 - 2020 Oct
  Advisor: Nicolas Gillis

• B.Eng (Electronics & Communication Engineering) & M.Phil (Biomedical Engineering)
  University of Hong Kong, 2011 Sep - 2016 Sep