During the year 2020, the DRIVEN partners had to be creative to achieve the project’s objectives in the COVID-19 context. One of the project activity was to organise two training workshops each year which was done successfully in 2019 and where we obtain excellent results surpassing our targets.
In 2020, the national restrictions for travels and the different lockdown periods impacted the DRIVEN project. Nevertheless, it was not enough to stop our partners and coordinator who created a Seminar Programme to continue the exchange of knowledge and training of their staff. As a result, the two DRIVEN workshops planned in 2020 were converted into a Seminar Programme and the following presentations were made available to the whole DRIVEN team:
| Date | Speaker | Title |
| 24/04/2020 | Aflah Elouneg, Institut FEMTO-ST | Identification of keloid and surrounding healthy skin material parameters using Digital Image Correlation measurements in vivo. |
| 08/05/2020 | Saurabh Deshpande | Estimation of Time Dependent System using Kalman Filtering |
| 12/05/2020 | Arnaud Mazier | An introduction to patient-specific simulation with SOFA framework |
| 05/06/2020 | Milad Zeraatpisheh | A Compressible hyperelastic material model for human brain tissue and identification of its parameters using Bayesian inference and Gaussian process surrogate model. |
| 12/06/2020 | Antoine Perney | From triangles to NURBS |
| 19/06/2020 | Thibault Jacquemin | Point Collocation Methods for Linear Elasticity Problems |
| 26/06/2020 | Vasilis Krokos | Probabilistic stress prediction in heterogeneous media using convolutional neural networks |
| 03/07/2020 | Chintan Jansari | Isogeometric boundary element method for linear elastic fracture mechanics using trimmed NURBS |
| 10/07/2020 | Stephane Urcun | Mechanics and Biology of Glioma Growth – Multiphase reactive poromechanics with the aim of clinical application |
| 17/07/2020 | Camilo Andres Suarez Afanador | Estimating thermomechanical residual stresses in FDM 3D printed composite parts (ICTAM2020 reported to 2021) – Part 1 |
| 24/07/2020 | Camilo Andres Suarez Afanador | Estimating thermomechanical residual stresses in FDM 3D printed composite parts (ICTAM2020 reported to 2021) – Part 2 |
| 31/07/2020 | Dr Julian Hennicker | Modelling and discretisation of Darcy Flow in fractured porous media |
| 10/10/2020 | Vasilis Krokos | Bayesian Neural Networks for uncertainty estimation on regression problems |
| 21/10/2020 | Saurabh Deshpande | Data Driven Hyper-elastic Simulations |
| 21/10/2020 | Eleni Koronaki | “Dinky, Dirty, Dynamic & Deceptive Data (1)”: An overview of hybrid machine learning and equation-based modelling |
| 28/10/2020 | Cosmin Anitescu | Methods Based on Artificial Neural Networks for the Solution of Partial Differential Equations |
| 04/11/2020 | Arnaud Mazier | Decision Trees methods, an overview of the white-boxes |
| 11/11/2020 | Tittu Mathew | Bayesian uncertainty quantification and model selection |
| 18/11/2020 | Diego Kozlowski | Big data for science of science |
| 25/11/2020 | Anina Šarkić | Data driven optimisation of wind energy harvesting in cities |
| 02/12/2020 | Vivek OOmmen | The effectiveness of PINNs in solving inverse heat transfer problems |