
7:30 PM
One size does not fit all: Parameterized biomechanical models for crashworthiness simulations

Göktürk Kuru
(Siemens Digital Industries Software)

7:30 PM
Wavelet based dynamic mode decomposition

Manu Krishnan
(PhD Candidate, Department of Aerospace and Ocean Engineering, Virginia Tech)

7:30 PM
Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain

Sridhar Chellappa
(Max Planck Institute for Dynamics of Complex Technical Systems)

7:30 PM
Sensor selection for hyperparameterized linear Bayesian inverse problems

Nicole AretzNellesen
(RWTH Aachen)

7:30 PM
DataDriven Identification and Reduction of Dynamical Systems with the Loewner Framework

Dimitrios S. Karachalios
(MPIDRI)

7:30 PM
Artificial neural network for bifurcating phenomena modelled by nonlinear parametrized PDEs

Federico Pichi
(SISSA, International School for Advanced Studies)

7:30 PM
Learning from Data for Traffic Control

Urs Baumgart
(Fraunhofer ITWM)

7:30 PM
Multipopulation mortality rates modelling and forecasting: The multivariate functional principal component analysis approach

Ka Kin Lam
(University of Leicester)

7:30 PM
Deep learning of multibody minimal coordinates for estimation

Andrea Angeli
(KU Leuven, Flanders Make)

7:30 PM
A Hamiltonian Monte Carlo Bayesian Inference Approach Using Deep Learning for Modeling Metabolism

Christina Schenk
(Basque Center for Applied Mathematics)

7:30 PM
Realtime virtual acoustics using physicsinformed datadriven techniques

Finnur Pind
(Technical University of Denmark)

7:30 PM
Machine learning for parameter identification and model reduction of gradientenhanced damage models for metal forming processes

Robin Schulte
(Institute of Mechanics, TU Dortmund University)

7:30 PM
Model adaptation for hyperbolic balance laws employing constraint aware neural networks

Hrishikesh Joshi
(Technical University of Darmstadt)

7:30 PM
Towards Deep Learning Based Controllers with Nominal Closed Loop Stability Guarantees

Hoang Hai Nguyen
(OttovonGuericke University Magdeburg, Magdeburg, Germany)

7:30 PM
Convolutional Neural Networks for object detection in professional appliances

Laura Meneghetti
(SISSA)

7:30 PM
Kernelbased Active Subspaces with application to CFD problems using Discontinuous Galerkin method

Francesco Romor
(SISSA)

7:30 PM
Deep Neural Networks for Hyperbolic Conservation laws with Nonconvex Flux

Hadi Minbashian
(Technical University of Darmstadt)

7:30 PM
Datadriven reducedorder modeling from noisy measurements: new results and future perspectives

Ion Victor Gosea
(MPI Magdeburg)

7:30 PM
PredictionBased NatureInspired Dynamic Optimization

Almuth Meier
(SCHOTT AG)

7:30 PM
Reduced order modelling for data assimilation in parametrized optimal control framework

Maria Strazzullo
(SISSA, mathLab)

7:30 PM
Fusing Online Gaussian ProcessBased Learning and Control for Scanning Quantum Dot Microscopy

Maik Pfefferkorn
(OttovonGuericke University Magdeburg)

7:30 PM
Datadriven metamodelling in Global Sensitivity Analysis

Panagiotis Demis
(Department of Chemical and Process Engineering, University of Surrey)