Alexander Haberl

My research interest and main line of work is the development of algorithms in the following fields: • machine learning & deep learning • statistical signal processing • computer vision & image processing • autonomous systems • data science

My research interest and main line of work is the development of algorithms in the following fields: • machine learning • deep learning • statistical signal processing • image processing • data analytics

Development and implementation of optimal numerical solvers for partial differential equations

Keywords: Numerical Analysis, FEM, BEM, adaptive Algorithms, PDEs Doctoral thesis: • Title: On adaptive FEM and BEM for indefinite and nonlinear problems • Thesis online available: http://www.asc.tuwien.ac.at/~praetorius/download/thesis/phd/haberl2018.pdf

Zurich Summer School 2014: Advanced Numerical Methods for Non-Local Operators

Master in Analysis and Geometry with focus on numerical analysis Master thesis (german): • Instanz-Optimalität adaptiver FEM • English title: Instance optimality of adaptive FEM