MS160A Advancing Predictive Simulations under Uncertainty: AI and UQ for Computational Mechanics I
MS Corresponding Organizer: Dr. Sebastian Kaltenbach (ETH Zurich / Harvard University)
Chaired by:
Dr. Sebastian Kaltenbach (ETH Zurich / Harvard University , United States) , Dr. Sergey Litvinov (ETH Zurich , Switzerland)
Dr. Sebastian Kaltenbach (ETH Zurich / Harvard University , United States) , Dr. Sergey Litvinov (ETH Zurich , Switzerland)
Scheduled presentations:
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A Reduced Order Model Conditioned on Measured Features for Structural Health Monitoring of Nonlinear Systems
K. Vlachas*, T. Simpson, A. Garland, E. Chatzi -
Statistical Learning and Inference in the Small Data and Poor Model Limits
R. Ghanem*, P. Tsilifis, D. Biller, Z. Gou -
Learned Effective Dynamics (LED) and Bayesian methods for patient-specific cancer immunotherapy
S. Litvinov*, S. Kaltenbach, P. Koumoutsakos -
AI- Based Surrogate Modelling Techniques for Time Dependent Parametrized Mathematical Models of Cancer Immunotherapy
P. Koumoutsakos, V. Papadopoulos, T. Stylianopoulos, G. Sotiropoulos*, I. Kalogeris
