Doctoral AbstractThesis
Fitted and unfitted finite element methods for solving the EEG forward problem
- Supervisors
- Doctoral Subject
- Mathematik
- Doctoral Degree
- Dr. rer. nat.
- Awarded by
- Department 10 – Mathematics and Computer Science
Honors
- Award for the best poster presentation – BACI2015, International Conference on Basic and Clinical Multimodal Imaging, Utrecht, The Netherlands, Sept. 1-5, 2015; http://www.baci-conference.com/
Project
- Efficient solvers for DG discretizations of saddle point problems ()
Participation in other joint Project: German Academic Exchange Service
- Efficient solvers for DG discretizations of saddle point problems ()
Articles
- Streitbürger, Florian Engwer Christian, and May, Sandra Nüßing Andreas. . “Monotonicity considerations for stabilized DG cut cell schemes for the unsteady advection equation.” contribution to the ENUMATH2019, Egmond aan Zee, The Netherlands
- Engwer, C, and Nüßing, A. . “Geometric Reconstruction of Implicitly Defined Surfaces and Domains with Topological Guarantees.” ACM Transactions on Mathematical Software 44 (2). doi: 10.1145/3104989.
- Nüßing, A, Wolters, CH, Brinck, H, and Engwer, C. . “The Unfitted Discontinuous Galerkin Method for Solving the EEG Forward Problem.” IEEE Trans Biomed Eng 63 (12): 2564–2575. doi: 10.1109/TBME.2016.2590740.
- Engwer, C, Johannsen, K, and Nüßing, A. . “Algebraic multigrid for discontinuous Galerkin methods using local transformations.” in Proceedings of the 22th Conference on Domain Decomposition Methods, Lecture Notes in Computational Science and Engineering Springer.
Dr. Andreas Nüßing
Research Areas
© TODO Numerical Methods
- (Unfitted) discontinuous Galerkin
- (Algebraic) multigrid methods
- Efficient implementations of numerical methods
© TODO Applications
- Brain research
- EEG forward problem
- Brain stimulation (TDCS)