Conference: Recent developments in numerical methods for model reduction


Monday, 7 November, 2016 - 09:00 to Thursday, 10 November, 2016 - 17:15

Venue: Paris, Institut Henri Poincaré
Organizers: T. Lelièvre, S. Perotto, G. Rozza
Conference website here
Programme here
Book of abstracts here

Invited speakers:

  • Francisco Chinesta (Ecole Centrale Nantes), Model order reduction in the factory of future: from data to knowledge
  • Albert Cohen (Université Pierre et Marie Curie), Data assimilation, parameter estimation and reduced modeling
  • Max Gunzburger (Florida State University), Reduced-order modeling for deterministic and stochastic anomalous diffusion problems
  • Jan S. Hesthaven (Ecole Polytechnique Fédérale Lausanne), Reduced order models of Hamiltonian problems
  • Traian Iliescu (Virginia Tech), Large Eddy Simulation Reduced Order Models
  • Ioannis Kevrekidis (Princeton University), No equations, no variables: data, and the effective modeling of complex/multiscale systems
  • Bijan Mohammadi (Université de Montpellier), Data Analytic Uncertainty Quantification Cascade in Optimization
  • Mario Ohlberger (WWU Münster), Localized model reduction beyond offline-online splitting
  • Anthony Patera (MIT), Model Order Reduction for Component-Based System Analysis
  • Antonio Huerta (Universitat Politècnica de Catalunya), Generalized parametric solutions in Soktes flow and complex domains
  • Serge Prudhomme (Polytechnique Montréal), On  goal-oriented formulation for model reduction methods
  • Kristoffer Van Der Zee (The University of Nottingham), Reduced-basis residual-minimization for parametrized PDEs in Banach-space settings
  • Alessandro Veneziani (Emory University), Hierarchical Model Reduction techniques for hemodynamics: basics, isogeometric analysis, applications