KAUST CEMSE Event Updates

CEMSE Event Updates - November 11, 2025 - Mathematics and Applications Colloquium

Thu, Nov 6 2025

Upcoming Events Urgent Notice

Three additional Mathematics and Applications Colloquiums are scheduled for November 11.

AI and Mathematics: Efficient Machine Learning Algorithms Inspired by Dynamical Systems, Complex Analysis, and Embedding Theory

Zhihong Xia, Chair Professor, Department of Mathematics, Southern University of Science and Technology

Nov 11, 10:30 - 11:30

B9 L3 R3120

AI machine learning PDEs Dynamical Systems scientific computing

This talk describes a novel machine learning algorithm, inspired by complex analysis and dynamical systems theory, that significantly improves efficiency in solving partial differential equations and scientific computing, while providing a theoretical framework for reconstructing complex, unknown systems from partial observational data.

Success and Challenges of Computational Fluid Dynamics for Engineering Applications

Feng Liu, Professor, Department of Mechanical and Aerospace Engineering, University of California, Irvine

Nov 11, 13:30 - 14:30

B1 L3 R3119

CDF Computer simulations Turbulent algorithms

The talk will introduce an efficient, accurate, and robust Computational Fluid Dynamics (CFD) software package utilizing a finite-volume algorithm on structured multiblock grids to simulate challenging three-dimension unsteady turbulent flows for multi-disciplinary applications like aerodynamics, aeroelasticity, and combustion, showcasing its successes and remaining challenges in large-eddy simulations for complex reactive flows.

Reduced Krylov Basis Methods for Parametric Partial Differential Equations

Ludmil Zikatanov, Professor, Mathematics, Pennsylvania State University

Nov 11, 14:30 - 15:30

B1 L3 R3119

This talk presents a user-friendly reduced basis method for solving a family of parametric PDEs by preconditioned Krylov subspace methods including the CG method, GMRes, and BiCGStab.