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Andersen Ang is a lecturer at the University of Southampton specializing in mathematical programming and optimization algorithms. His research interests include Nonnegative Matrix and Tensor Factorization as well as Machine Learning. He actively engages in academic supervision and is currently accepting applications for PhD students. Ang is involved in various research groups focusing on vision, learning control, and computational mathematics. His contributions to the field include significant presentations and involvement in projects related to advanced optimization techniques such as nonsmooth multigrid proximal gradient methods. Ang's extensive research background is supported by his active presence in the academic community through publications and scholarly contributions.