› A Globally Mass Conservative Nonlinear Reduced Basis Method for Parabolic Free Boundary Problems - Stephan Rave, University of Münster
14:45-15:10 (25min)
› Parametric Model Order Reduction for Hamilton-Jacobi-Bellmann Equations and Applications to Feedback Control - Andreas Schmidt, University of Stuttgart
15:10-15:35 (25min)
› Model Reduction While Preserving A First Integral - Babak Maboudi Afkham, Ecole Polytechnique Fédérale de Lausanne
15:35-16:00 (25min)
› Jointly optimal frequency/parameter sampling for modeling parameterized dynamical systems - Alexander Grimm, Virginia Tech
17:15-17:40 (25min)
› Padé approximation for Helmholtz frequency response problems - Francesca Bonizzoni, University of Vienna
17:40-18:05 (25min)
› Discontinuity-aware model reduction using empirical flow map decomposition - Maciej Balajewicz, University of Illinois at Urbana-Champaign
18:05-18:30 (25min)
› Efficient reduction of large-scale unsteady Navier-Stokes flows on domains with variable shape - Andrea Manzoni, Politecnico di Milano
18:30-18:55 (25min)
› Data-Driven Filtered Reduced Order Modeling Of Nonlinear Systems - Traian Iliescu, Virginia Tech
09:15-09:40 (25min)
› Estimation of Risk Measures with Reduced-Order Models - Boris Kramer, Massachusetts Institute of Technology
09:40-10:05 (25min)
› Dimension reduction of the input parameter space of vector-valued functions - Olivier Zahm, Massachusetts Institute of Technology
10:05-10:30 (25min)
› Random Sketching for Model Order Reduction - Oleg Balabanov, Centrale Nantes and Universitat Politècnica de Catalunya
14:45-15:10 (25min)
› Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial Time - Patrick Heas, INRIA (Institut National de Recherche en Informatique et en Automatique)
15:10-15:35 (25min)
› A Reduced Basis Technique for Long-Time Unsteady Turbulent Flows - Tommaso Taddei, Université Pierre et Marie Curie
15:35-15:40 (05min)
› Goal-oriented proper generalized decomposition with application to the detection of delamination in composites - Kenan Kergrene, École Polytechnique de Montréal
15:35-15:40 (05min)
› Greedy measurement selection for state estimation with reduced models - James Nichols, Université Pierre et Marie Curie
15:35-15:40 (05min)
› Conservative model reduction for finite-volume models - Kevin Carlberg, Sandia National Laboratories [Livermore]
15:40-15:45 (05min)
› Directional hyper-reduced model for evaluation of residual welding stresses - Mickaël Abbas, EDF R&D, Institut des Sciences de la Mécanique et Applications Industrielles
15:40-15:45 (05min)
› POD-Galerkin reduced order methods for inverse problems and multi-physics problems in fluid dynamics - Francesco Ballarin, International School for Advanced Studies
15:40-15:45 (05min)
› Advances in Hierarchical Model Reduction and combination with other reduction methods - Matteo Zancanaro, International School for Advanced Studies
15:45-15:50 (05min)
› The effort of increasing Reynolds number in POD-Galerkin Reduced Order Methods: from laminar to turbulent flows - Shfqat Ali and Saddam Hijazi, International School for Advanced Studies
15:45-15:50 (05min)
› Towards a stable and fast dynamic skeletal muscle model - Mylena Mordhorst, University of Stuttgart
15:45-15:50 (05min)
› Principal component analysis and optimal weighted least-squares method for training tree tensor networks - Cécile Haberstich, Centrale Nantes, LMJL UMR 6629, Nantes, France
15:50-15:55 (05min)
› Reduced order methods for nonlinear parametric problems with branching solutions - Federico Pichi, International School for Advanced Studies
15:50-15:55 (05min)
› Statistical learning in tree-based tensor format - Erwan Grelier, Institut de Recherche en Génie Civil et Mécanique
15:50-15:55 (05min)
› A reduced order Kalman filter for CFD applications - Carolina Introini, Politecnico di Milano
15:55-16:00 (05min)
› Basis generation in optimal control problems - Alessandro Alla, Pontifícia Universidade Católica do Rio de Janeiro
15:55-16:00 (05min)
› Reduced Basis Solutions of Parametrized Optimal Control Problems with Non-Affine Source Terms - Zoi Tokoutsi, Aachen Institute for Advanced Study in Computational Engineering Science, Philips Research Eindhoven
15:55-16:00 (05min)
› Accelerating Implicit Integrators for Parametric ODE Systems by Greedy Kernel Approximation - Bernard Haasdonk, University of Stuttgart
16:30-16:55 (25min)
› Fast Estimation of Blood Vessel Cooling Effects in Hepatic Radio-Frequency Ablation using the Reduced Basis Method - Nikhil Vaidya, Rheinisch-Westfälische Technische Hochschule Aachen, Philips Research [Nederlands]
16:55-17:00 (05min)
› Parameter space and model reduction with shape parametrization, by means of active subspace and POD-Galerkin methods for industrial and biomedical applications - Marco Tezzele, International School for Advanced Studies
16:55-17:00 (05min)
› Efficient Therapy Planning via Model Reduction for Laser-Induced Interstitial Thermotherapy - Kevin Tolle, Friedrich-Alexander Universität [Erlangen-Nürnberg], Universität Trier
17:00-17:05 (05min)
› Localized Reduced Basis Methods for Time Harmonic Maxwell's Equations - Andreas Buhr, University of Münster
17:00-17:05 (05min)
› Biogeochemical Oceanographic Data Assimilation: Dimensionality Reduced Kalman Filter for Mediterranean Sea Forecasting - Simone Spada, University of Trieste
17:05-17:10 (05min)
› Dynamical low rank approximation of random time dependent PDEs - Eva Vidlickova, Ecole Polytechnique Fédérale de Lausanne
17:05-17:10 (05min)
› Reduced Models for Uncertainty Quantification in the Cardiovascular Network via Domain Decomposition - Sofia Guzzetti, Department of Mathematics and Computer Science [Emory University]
17:05-17:10 (05min)
› An efficient algorithm for Pade'-type approximation of the frequency response for the Helmholtz problem - Davide Pradovera, Ecole Polytechnique Fédérale de Lausanne
17:10-17:15 (05min)
› Multi space reduced basis preconditioners for large-scale parametrized PDEs - Niccolò Dal Santo, CMCS-EPFL
17:10-17:15 (05min)
› Certified POD-Based Multiobjective Optimal Control of Time-Variant Heat Phenomena - Stefan Banholzer, Department of Mathematics and Statistics, University of Konstanz
17:15-17:20 (05min)
› Singular Value Decomposition on Intersection Spaces - Mazen Ali, Ulm University
17:15-17:20 (05min)
› A Hierarchical a-posteriori error estimator for the reduced basis method - Stefan Hain, Institute for Numerical Mathematics, Ulm University - Mladjan Radic, Institute for Numerical Mathematics, Ulm University
17:20-17:25 (05min)
› Combining POD Model Order Reduction with Adaptivity - Carmen Gräßle, University Hamburg
17:20-17:25 (05min)
› Parametric Model Order Reduction for Gas Flow Models - Christian Himpe, Max Planck Institute for Dynamics of Complex Technical Systems
17:20-17:25 (05min)
› Parametric model order reduction for large-scale and complex systems using Krylov subspace methods - Daming Lou, Department of Electrical Engineering, Eindhoven University of Technology - Siep Weiland, Department of Electrical Engineering, Eindhoven University of Technology
17:25-17:30 (05min)
› Parametric space-frequency reduction for second-order system models - Frank Naets, KU Leuven [Leuven], Member of Flanders Make
17:25-17:30 (05min)
› Parametric state-time reduction for the transient analysis of multi-physical systems - Ward Rottiers, Department of Mechanical Engineering, KU Leuven, Member of Flanders Make
17:25-17:30 (05min)
› Greedy Controllability of Reduced-Order Linear Dynamical Systems - Laura Iapichino, Eindhoven University of Technology (TU/e)
09:15-09:40 (25min)
› Balanced truncation model reduction for polynomial control systems - Igor Pontes Duff, Max Planck Institute for Dynamics of Complex Technical Systems
09:40-10:05 (25min)
› True error control for localized model reduction with online enrichment in PDE constrained optimization - Felix Schindler, University of Münster
10:05-10:30 (25min)
› Space–time least-squares Petrov–Galerkin projection for nonlinear model reduction - Kevin Carlberg, Sandia National Laboratories [Livermore]
14:00-14:25 (25min)
› Stabilised finite volume POD-Galerkin ROMs of the incompressible Navier-Stokes equations - Giovanni Stabile, International School for Advanced Studies
14:25-14:50 (25min)
› Beyond Petrov-Galerkin projection by using ``multi-space'' priors - Cédric Herzet, Institut National de Recherche en Informatique et en Automatique
14:50-15:15 (25min)
› Model reduction based on optimally stable variational formulations of parametrized transport equations - Julia Brunken, Applied Mathematics, University of Münster
15:15-15:40 (25min)
› Model Reduction for Hamilton-Jacobi-Bellman Equations resulting from Intraday Trading of Electricity - Silke Glas, Ulm University
15:40-15:45 (05min)
› Optimal Kernel-Based Dynamic Mode Decomposition - Patrick Héas, Institut National de Recherche en Informatique et en Automatique
15:40-15:45 (05min)
› Stochastic Galerkin reduced basis methods for parametrized elliptic PDEs with random data - Sebastian Ullmann, Graduate School of Computational Engineering, Technische Universität Darmstadt, Department of Mathematics, Technische Universität Darmstadt
15:40-15:45 (05min)
› Data-driven model reduction of descriptor linear systems in the Loewner framework - Ion Gosea, Data-Driven System Reduction and Identification Group, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
15:45-15:50 (05min)
› Model order reduction for parametrized nonlocal variational inequalities - Olena Burkovska, Department of Scientific Computing, Florida State University
15:45-15:50 (05min)
› Reduced basis methods for MREIT - Dominik Garmatter, Goethe-University Frankfurt am Main
15:45-15:50 (05min)
› A Geoscientific Application of the Certified Reduced Basis Method - Denise Degen, Computational Geosciences and Reservoir Engineering [RWTH Aachen University], Aachen Institute for Advanced Study in Computational Engineering Science [RWTH Aachen University]
15:50-15:55 (05min)
› On the Interpolation of Reduced Order Models -
15:50-15:55 (05min)
› Some Aspects of Systems Theory and Model Order Reduction for Nonlinear Systems - Maria Cruz Varona, Chair of Automatic Control, Technical University of Munich
15:50-15:55 (05min)
› A CFD supported Reduced Order Model using a goal-oriented domain restriction - Fabrizio Di Donfrancesco, ONERA - The French Aerospace Lab, Institu d'Alembert - UPMC
15:55-16:00 (05min)
› Computing the Hankel-Norm Approximation of Large-Scale Descriptor Systems - Steffen W. R. Werner, Max Planck Institute for Dynamics of Complex Technical Systems
15:55-16:00 (05min)
› Reduced-order model approximating the BGK model based on Proper Orthogonal Decomposition - Sébastien Riffaud, Inria Bordeaux - Sud-Ouest, Institut de Mathématiques de Bordeaux
15:55-16:00 (05min)
› Data-driven parameterized modeling of LTI systems with guaranteed stability - Stefano Grivet-Talocia, Politecnico di Torino
16:30-16:35 (05min)
› Reduced-order model assisted optimization of automotive structures with nonlinearities - Christopher Bach, BMW Group Research and Innovation Centre, Technische Universität München
16:30-16:35 (05min)
› PGD Variational vademecum for robot motion planning. A dynamic obstacle case - Nicolas Montes, University CEU Cardenal Herrera - Lucia Hilario, University CEU Cardenal Herrera
16:35-16:40 (05min)
› Shape Finding in Structural Optimization with Parametrically Reduced Finite-Element Models - Benjamin Fröhlich, Institute of Engineering and Computational Mechanics
16:35-16:40 (05min)
› A Reduced Order Modeling Approach for Reactor Physics Problems Using Locally Adaptive Sparse Grids - Fahad Alsayyari, Delft University of Technology
16:40-16:45 (05min)
› Clustering Model Order Reduction for Water Networks - Sara Grundel, Max Planck Institute for Dynamics of Complex Technical Systems
16:40-16:45 (05min)
› Geometrically nonlinear autonomous reduced order model for rotating structures - Mikel Balmaseda, ONERA, The French Aerospace Lab, Université de Lyon, CNRS INSA-Lyon, LaMCoS UMR5259
16:40-16:45 (05min)
› Model Order Reduction for convection dominated problems - Harshit Bansal, Department of Mathematics and Computer Science, Eindhoven University of Technology
16:45-16:50 (05min)
› Sampling-free parametric model reduction of systems with structured parameter variation - Zoran Tomljanovic, Department of Mathematics University of Osijek
16:45-16:50 (05min)
› Symplectic Model Reduction with respect to Energy Inner Product - Babak Maboudi Afkham, Computational Mathematics and Simulation Science
16:45-16:50 (05min)
› Adaptive POD-DEIM model reduction based on an improved error estimator - Sridhar Chellappa, Max Planck Institute for Dynamics of Complex Technical Systems
16:50-16:55 (05min)
› On the reducibility of linear dynamic systems with hybrid uncertainties - Lyes Nechak, Laboratoire de Tribologie et Dynamique des Systèmes
16:50-16:55 (05min)
› Towards real time computation of 3D magnetic field in parametrized Polyhelix magnets using a reduced basis Biot-Savart model -
16:50-16:55 (05min)
› Enhancing Hemodynamics Measurements with Mathematical Modeling - Felipe Galarce, Inria de Paris, Laboratoire Jacques-Louis Lions
16:55-17:00 (05min)
› Fast Solution of the Nonlinear Poisson-Boltzmann Equation using the Reduced Basis Method and Range-Separated Tensor Format - Cleophas Kweyu, Max Planck Institute for Dynamics of Complex Technical Systems
16:55-17:00 (05min)
› Faster A-posteriori Error Estimation for Second Order Mechanical Systems - Dennis Grunert, Institute of Engineering and Computational Mechanics, University of Stuttgart
16:55-17:00 (05min)
› H2xL2-optimal model order reduction of parametric linear time-invariant systems - Manuela Hund, Max Planck Institute for Dynamics of Complex Technical Systems
09:15-09:40 (25min)
› H_2-optimal structure-preserving model order reduction for second-order systems - Petar Mlinarić, Max Planck Institute for Dynamics of Complex Technical Systems
09:40-10:05 (25min)
› A Bilinear H_2 Model Order Reduction Approach to Linear Parameter-Varying Systems - Xingang Cao, Department of Mathematics and Computer Science [Eindhoven]
10:05-10:30 (25min)
› Model reduction of parametrized aerodynamic flows: discontinuous Galerkin reduced basis empirical quadrature procedure - Masayuki Yano, University of Toronto
11:00-11:25 (25min)
› A Leray Regularized Ensemble-Proper Orthogonal Decomposition Method for Parameterized Convection-Dominated Flows - Michael Schneier, Florida State University
11:25-11:50 (25min)
› High Reynolds Aerothermal Simulations and Reduced Basis - Jean-Baptiste Wahl, Université de Strasbourg
11:50-12:15 (25min)
› h and hp Adaptive Interpolation of Transformed Snapshots for Parametric Functions with Jumps - Gerrit Welper, University of Southern California
12:15-12:40 (25min)
