Andersen Ang | Papers | Talks | Notes | Misc.
- University of Southampton, UK
- andersen dot ang at soton dot ac dot uk
- CV GoogleScholar YouTube ORCiD
pretentious: journal 6, conference 13, cited-by 373, h-index 8, Erdös 4
Where I will be at
- visit Steve Vavasis in Department of Combinatorics and Optimization, University of Waterloo, Canada, July 27-Aug10
- give a talk in the session "nonsmooth optimization" in ISMP2024, July 21-26, 2024, Montreal, Canada
- give a talk in LSE, May 16 2024
- visit Nicolas Gillis April 15-20, Mons, Belgium
- Workshop on Nonsmooth Optimization and Applications, April 8-12, 2024, Antwerp, Belgium
Update
- A paper on estimating the nonnegative rank is submitted
- A paper on chordal distance is submitted
- A paper on graph trend filtering is submitted, now under review
- A paper on optimization is accepted by SIAM Journal on Optimization
- I got FHEA (Fellow of the Higher Education Academy)
- I am the module lead AICE1004 Mathematics for AI, to run Sem-1 AY 24-25
- I am the module lead COMP6260 Optimisation for machine learning, to run Sem-2 AY 24-25
- 4 full PhD scholarships are available**
Research: Theoretical Computer Science / abstract nonsense
- Mathematical programming for machine learning
Continuous structural non-convex non-smooth optimization - Nonnegative Matrix Factorization
Algebra - (Shallow) Machine learning
- Any applied mathematics that I found interesting
| Main focus | May do later: analysis | May do later: algebra |
|---|---|---|
| Optimization | PDE of optimization | Clifford-Grassmann algebra |
| Nonnegative matrix factorization | Idempotent analysis | Subtropical algebra |
| Tensor & Low-rank model | Operator theory | Euclidean Jordan algebra |
| Spectral graph theory | Applied manifold | Applied Lie theory |
| Submodularity | Optimal Transport | Applied algebraic topology |
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
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B.Eng (Electronics & Communication Engineering)
University of Hong Kong
2011 Sep - 2014 Aug