
About
Dr. Andreas Nuessing is a researcher at the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science at the University of Münster, Germany. His work focuses on numerical methods, particularly unfitted discontinuous Galerkin methods and algebraic multigrid techniques, applied to biomedical problems such as the EEG forward problem and brain stimulation (TDCS).
- Education: Dr. rer. nat. in Mathematics, supervised by Prof. Dr. Christian Engwer and Prof. Dr. rer. nat. Carsten Wolters.
Research Areas include:
- Development of numerical methods for solving PDEs in brain research
- Efficient implementations of discontinuous Galerkin methods
- Applications in biomedical engineering and neuroscience
Scientific Contributions:
- 2015: Best poster award at BACI2015 conference
- Key projects: Efficient solvers for DG discretizations of saddle point problems (2012–2013), German Academic Exchange Service collaborations
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