› 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)
