The second DRIVEN training workshop was organised by the University of Luxembourg (UL) as a two-day event focused on Digital Twins, a new and promising topic in data-driven simulation and especially for the biomedical sector.
The training lectures which took place during the workshop featured a number of international and national experts in this sector, as well as from partners of the DRIVEN consortium.
The abstracts/presentations from the workshop are available for viewing and downloading below:
Learning the Koopman Operator for Dynamic Simulations, Chandrajit Bajaj (University of Texas, US)
All-physics multi-scale approach to improve and invent advanced functional materials, Jorge Íñiguez (LIST and University of Luxembourg)
Clinnova 2, Luxembourg Institute of Health (LIH)
Constitutive modelling of healthy & pathologic biological tissues, Giuseppe Sciumè (Université de Bourdeaux, France)
Digital Twins in Surgery, Stéphane Cotin (inria, France)
Computational Design of Complex Materials Using Information Theory: From Physics- to Data-driven Multi-scale Molecular Models, Evangelia Kalligiannaki (Institute of Applied and Computational Mathematics, Foundation for Research and Technology Hellas, Greece
Parametric reduced order modeling for cracked solids, Konstantinos Agathos (ETH Zürich, Switzerland)
Data-driven Computational Modelling and Applications, Andreas Zilian (LISER and University of Luxembourg)
Optimisation of Ultrasonically Welded joints through Autonomous Experimentation, Pat Mongan (Science Foundation Ireland and University of Limerick, Ireland)
Digital Twins for Programmable Matter, Jakub Lengiewicz (University of Luxembourg)