An adaptive evolutionary surrogate-based approach for single-objective bilevel optimisation - Margarita Antoniou, Jožef Stefan International Postgraduate School, Jožef Stefan Institute, Ljubljana
Probabilistic learning on manifolds for the small-data challenge in Uncertainty Quantification - Prof. Christian Soize
15:00-17:50
Numerical methods for uncertain problems
15:00:15:20
Investigating Uncertainties with a Game-Benchmark - Vanessa Volz, Game AI research group, Queen Mary University London - Boris Naujoks, Institute for Data Science, Engineering, and Analytics TH Köln, University of Applied Sciences
AK-MCS extension for the Efficient Estimation of Extreme Quantiles and Failure Probabilities - Nassim Razaaly, DeFI Team (INRIA Saclay Île de France, Ecole Polytechnique), CMAP Lab
Change of Probability Measure in Weighted Empirical Cumulative Distribution Function - Domenico Quagliarella, CIRA --- Italian Aerospace Research Centre
Bayesian parameter calibration using surrogate models - Prof. Omar Knio
15:00-17:50
Inference and Bayesian Calibration
15:00:15:20
Calibration of TACOT Material Database and PATO Through Bayesian Inference and Surrogate Modeling - Przemyslaw Rostkowsk, University of Illinois at Urbana-Champaign
Robust Calibration of the Catalytic Properties of Thermal Protection Materials: Application to Plasma Wind Tunnel Experiments - Anabel del Val, von Karman Institute for Fluid Dynamics
Quantifying the Uncertainty on Ab-Initio Rate Coefficients by means of Bayesian Machine Learning - Simone Venturi, University of Illinois at Urbana-Champaign [Urbana]
Bayesian calibration of the Peng-Robinson fluid model for siloxane MDM vapor flows in the non-ideal regime - Giulio Gori, Centre de Mathématiques Appliquées - Ecole Polytechnique
Reliability of reliability assessments - Daniel Krpelik, Department of Applied Mathematics, VSB-Technical University of Ostrava, Department of Mathematical Sciences, Durham University
Robust design optimization of a hydrogen-based solar energy storage system using an efficient stepwise regression method for sparse polynomial chaos expansions - Diederik Coppitters, University of Mons, Vrije Universiteit Brussel
Opening chemical reaction paths in a plasma global model: an uncertainty quantification approach - Florian Marmuse, Laboratoire de Physique des Plasmas
A particle filtering method for the opportunistic update of a space debris catalogue - Joaquin Miguez, Universidad Carlos III de Madrid [Madrid] - Manuel Sanjurjo-Rivo, Universidad Carlos III de Madrid [Madrid]
Uncertainty propagation in multiphysics systems of solvers: application to robust space object reentry predictions - François Sanson, DeFI Team (INRIA Saclay Île-de-France, Ecole Polytechnique), CMAP Lab
Approximating Hypervolume Contributions Using Kriging - Dani Irawan, Institute for Data Science, Engineering, and Analytics TH Köln, University of Applied Sciences
Application of Machine Learning Techniques for the Prediction of Free Plasma Jet Oscillatory Phenomena and Cloud Classification for In-flight Icing from Experimental Data - Barbara Arizmendi, Politecnico di Milano
Searching for an optimal and reliable design under epistemic modelling uncertainty - Daniel Krpelik, Department of Applied Mathematics, VSB-Technical University of Ostrava, Department of Mathematical Sciences, Durham University - Gianluca Filippi, University of Strathclyde - Peter Korondi, Numerical Methods Group, ESTECO SpA, Department of Engineering and Architecture
A Framework for the Efficient Aerodynamic Shape Optimization Problems under Uncertainty - Margarita Antoniou, Jozef Stefan Institute - Lorenzo Gentile, TH Koeln - Dani Irawan, TH Koeln - Elisa Morales, Italian Aerospace Research Centre (CIRA) - Christian Sabater, German Aerospace Centre (DLR)
