Edmond Chow, Professor and Associate Chair, School of Computational Science and Engineering, Georgia Institute of Technology
Tuesday, June 06, 2023, 16:00
- 17:00
Building 2, Level 5, Room 5220
Coffee Time: 15:30 - 16:00. Kernel matrices can be found in computational physics, chemistry, statistics, and machine learning. Fast algorithms for matrix-vector multiplication for kernel matrices have been developed, and is a subject of continuing interest, including here at KAUST. One also often needs fast algorithms to solve systems of equations involving large kernel matrices. Fast direct methods can sometimes be used, for example, when the physical problem is 2-dimensional. In this talk, we address preconditioning for the iterative solution of kernel matrix systems. The spectrum of a kernel matrix significantly depends on the parameters of the kernel function used to define the kernel matrix, e.g., a length scale.
Prof. Galymzhan Nauryzbayez, Nazarbayev University, Kazakhstan
Monday, November 28, 2022, 10:45
- 11:30
Building 2, 5220
Contact Person


The rampage of incessant cyber attacks have caused the disclosure of billions of users’ p

Prof. Ahmed Eltawil, Prof. Charalambos Konstantinou, Prof. Khaled Nabil Salama
Sunday, November 27, 2022, 08:00
- 17:00
Building 2, Level 5, Room 5220
The workshop aims to bring together experts to present their latest research efforts related to Embedded and Cyber Connected Systems architectures and platforms that can scale efficiently, as well as operate securely and resiliently to provide the necessary resources demanded by current and future network applications.