KAUST CEMSE Event Updates

CEMSE Event Updates - February 26, 2026 - Event Date Change

Wed, Feb 18 2026

Upcoming Events Urgent Notice

Please note that date for the upcoming event has been rescheduled from Tuesday, February 24 to Thursday, February 26 2:30 - 3:30 p.m.

Rigorous Model-Constrained Scientific Machine Learning for Digital Twins: A Computational Mathematics Perspective

Tan Bui-Thanh, Professor, Endowed William J. Murray, Jr. Fellow in Engineering No. 4, Oden Institute for Computational Engineering & Sciences, Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin (UT Austin)

Feb 26, 14:30 - 15:30

B1 L3 R3119

Scientific Machine Learning SciML Scientific Deep Learning SciDL deep learning machine learning digital twins uncertainty quantification Computational mathematics

This talk will outline a principled pathway from traditional computational mathematics to rigorously grounded Scientific Machine Learning (SciML) and present recent Scientific Deep Learning (SciDL) methods for forward modeling, inverse and calibration problems, and uncertainty quantification, emphasizing mathematical structure, stability, and generalization.