Mitglied bis 2017

• BMBF Verbund SIMUROM (05M2013) – Simulation und robuste Optimierung von elektromechanischen Energiewandlern unter Berücksichtigung von Unsicherheiten

• Nonlinear Optimization
• Reduced Order Modeling
• Optimal Control of Partial Differential Equations
• Applied Mathematics
• Robust Optimization

• Z. Bontinck, O. Lass, S. Schöps, H. De Gersem, S. Ulbrich and O. Rain. Robust Optimization Approaches for the Design of an Electric Machine used for E-Mobility. Submitted (2017)
• Z. Bontinck, O. Lass, S. Schöps and O. Rain. Model Order Reduction for Rotating Electrical Machines. Submitted (2017) [Preprint]
• A. Alla, M. Hinze, O. Lass and S. Ulbrich. A Certified Model Reduction Approach for robust optimal control with PDE constraints. Submitted (2017) [Preprint]
• P. Kolvenbach, O. Lass and S. Ulbrich. An approach for robust PDE-constrained optimization with application to shape optimization of electrical engines and of dynamic elastic structures under uncertainty. Submitted (2017) [Preprint]
• O. Lass and S. Ulbrich. Model order reduction techniques with a posteriori error control for nonlinear robust optimization governed by partial differential equations. SIAM Journal on Scientific Computing 39(5): S112–S139 (2017)
• O. Lass, S. Trenz and S. Volkwein. Numerical realization of POD a-posteriori error estimates for a semilinear parabolic optimal control problem. Submitted (2015) [Preprint]
• O. Lass and S. Volkwein. Parameter identification for nonlinear elliptic-parabolic systems with application in lithium-ion battery modeling. Computational Optimization and Application 62(1): 217-239 (2015)
• A. Alla, M. Hinze, O. Lass and S. Ulbrich. Model order reduction approach for the optimal design of permanent magnets in electro-magnetic machines. IFAC-PapersOnLine 48(1): 242-247 (2015)
• O. Lass and S. Volkwein. Adaptive POD basis computation for parametrized nonlinear systems using optimal snapshot location. Computational Optimization and Application 58(3):645-677 (2014)
• O. Lass. Reduced order modeling and parameter identification for coupled nonlinear PDE systems. Ph.D. Thesis, Fachbereich Mathematik, Universität Konstanz (2014)
• O. Lass and S. Volkwein. POD Galerkin schemes for nonlinear elliptic-parabolic systems. SIAM Journal on Scientific Computing 35(3): A1271-A1298 (2013)
• O. Lass. Efficient POD reduced-order modeling for parametrized nonlinear PDE systems. Technical Report (2012)
• O. Lass, C. Posch, G. Scharrer and S. Volkwein. Space mapping techniques for the optimization of a thickness parameter in the p-Laplace equation. Optimization Methods and Software 26(4-5): 617-642 (2011)
• O. Lass and S. Volkwein. A Space Mapping Approach for the p-Laplace Equation. Recent Advances in Optimization and its Applications in Engineering, M. Diehl, F. Glineur, E. Jarlebring, W. Michiels (Eds.), Springer Berlin Heidelberg, 399-408 (2010)
• O. Lass. Efficient numerical space mapping techniques for the p-Laplace equation. Diploma Thesis, Institut für Mathematik und Wissenschaftliches Rechnen, Karl Franzens Universität Graz (2009)
• O. Lass, M. Vallejos, A. Borzi and C.C. Douglas. Implementation and analysis of multigrid schemes with finite elements for elliptic optimal control problems. Computing 84(1-2): 27-48 (2009)