-
19:30
One size does not fit all: Parameterized biomechanical models for crashworthiness simulations
-
Göktürk Kuru
(Siemens Digital Industries Software)
-
19:30
Wavelet based dynamic mode decomposition
-
Manu Krishnan
(PhD Candidate, Department of Aerospace and Ocean Engineering, Virginia Tech)
-
19:30
Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain
-
Sridhar Chellappa
(Max Planck Institute for Dynamics of Complex Technical Systems)
-
19:30
Sensor selection for hyper-parameterized linear Bayesian inverse problems
-
Nicole Aretz-Nellesen
(RWTH Aachen)
-
19:30
Data-Driven Identification and Reduction of Dynamical Systems with the Loewner Framework
-
Dimitrios S. Karachalios
(MPI-DRI)
-
19:30
Artificial neural network for bifurcating phenomena modelled by nonlinear parametrized PDEs
-
Federico Pichi
(SISSA, International School for Advanced Studies)
-
19:30
Learning from Data for Traffic Control
-
Urs Baumgart
(Fraunhofer ITWM)
-
19:30
Multipopulation mortality rates modelling and forecasting: The multivariate functional principal component analysis approach
-
Ka Kin Lam
(University of Leicester)
-
19:30
Deep learning of multibody minimal coordinates for estimation
-
Andrea Angeli
(KU Leuven, Flanders Make)
-
19:30
A Hamiltonian Monte Carlo Bayesian Inference Approach Using Deep Learning for Modeling Metabolism
-
Christina Schenk
(Basque Center for Applied Mathematics)
-
19:30
Real-time virtual acoustics using physics-informed data-driven techniques
-
Finnur Pind
(Technical University of Denmark)
-
19:30
Machine learning for parameter identification and model reduction of gradient-enhanced damage models for metal forming processes
-
Robin Schulte
(Institute of Mechanics, TU Dortmund University)
-
19:30
Model adaptation for hyperbolic balance laws employing constraint aware neural networks
-
Hrishikesh Joshi
(Technical University of Darmstadt)
-
19:30
Towards Deep Learning Based Controllers with Nominal Closed Loop Stability Guarantees
-
Hoang Hai Nguyen
(Otto-von-Guericke University Magdeburg, Magdeburg, Germany)
-
19:30
Convolutional Neural Networks for object detection in professional appliances
-
Laura Meneghetti
(SISSA)
-
19:30
Kernel-based Active Subspaces with application to CFD problems using Discontinuous Galerkin method
-
Francesco Romor
(SISSA)
-
19:30
Deep Neural Networks for Hyperbolic Conservation laws with Non-convex Flux
-
Hadi Minbashian
(Technical University of Darmstadt)
-
19:30
Data-driven reduced-order modeling from noisy measurements: new results and future perspectives
-
Ion Victor Gosea
(MPI Magdeburg)
-
19:30
Prediction-Based Nature-Inspired Dynamic Optimization
-
Almuth Meier
(SCHOTT AG)
-
19:30
Reduced order modelling for data assimilation in parametrized optimal control framework
-
Maria Strazzullo
(SISSA, mathLab)
-
19:30
Fusing Online Gaussian Process-Based Learning and Control for Scanning Quantum Dot Microscopy
-
Maik Pfefferkorn
(Otto-von-Guericke University Magdeburg)
-
19:30
Data-driven metamodelling in Global Sensitivity Analysis
-
Panagiotis Demis
(Department of Chemical and Process Engineering, University of Surrey)