ECCOMAS 2024

MS160A Advancing Predictive Simulations under Uncertainty: AI and UQ for Computational Mechanics I

MS Corresponding Organizer: Dr. Sebastian Kaltenbach ( ETH Zurich / Harvard University , United States )

Wed, 05/06/2024
17:00 - 19:00
Room 1.03
MS160A

Chaired by:
Dr. Sebastian Kaltenbach (ETH Zurich / Harvard University , United States) , Dr. Sergey Litvinov (ETH Zurich , Switzerland)

A Reduced Order Model Conditioned on Measured Features for Structural Health Monitoring of Nonlinear Systems
*K. Vlachas (ETH ZURICH), T. Simpson (ETH ZURICH), A. Garland (SANDIA NATIONAL LABORATORIES), E. Chatzi (ETH ZURICH)
Statistical Learning and Inference in the Small Data and Poor Model Limits
*R. Ghanem (University of Southern California), P. Tsilifis (General Electric Research Center), D. Biller (Rollins College), Z. Gou (University of Southern California)
Learned Effective Dynamics (LED) and Bayesian methods for patient-specific cancer immunotherapy
*S. Litvinov (ETHZ), S. Kaltenbach (ETHZ), P. Koumoutsakos (Harvard University)
AI- Based Surrogate Modelling Techniques for Time Dependent Parametrized Mathematical Models of Cancer Immunotherapy
P. Koumoutsakos (Harvard SEAS – CSElab), V. Papadopoulos (N.T.U.A. - MGROUP), T. Stylianopoulos (UoC - Cancer Biophysics Laboratory), *G. Sotiropoulos (N.T.U.A. - MGROUP), I. Kalogeris (N.T.U.A. MGROUP)