Alexander Haberl

Alexander Haberl is a Researcher at TU Wien, affiliated with the Department of Numerical Analysis (Forschungsbereich Numerik). He holds degrees including Dipl.-Ing., Dr.techn., and BSc. His research focuses on adaptive numerical methods, computational efficiency, and finite element methods. He has contributed to the development of adaptive algorithms for nonlinear operators and boundary element methods (BEM), emphasizing optimal convergence rates and computational cost analysis.

Key research areas include adaptive finite element methods (FEM), boundary element methods, and iterative solvers for nonlinear systems. His work addresses challenges in scientific computing, such as designing algorithms with provable optimality properties and minimizing computational resources. Haberl has collaborated extensively with Dirk Praetorius, Stefan Schimanko, and others on projects involving inexact solvers and preconditioned conjugate gradient (PCG) methods.

Publications highlight contributions to monotone operators, Helmholtz equation solutions, and electrostatic capacity computations on complex geometries. His research bridges theoretical numerical analysis and practical computational engineering, with applications in structural mechanics and wave propagation.

Haberl’s advising includes Michael Innerberger, who explored instance optimality in adaptive FEM. He is part of TU Wien’s Network Lab and actively contributes to conferences and workshops on adaptive methods and numerical algorithms.