Rud Sameh

Rud Sameh is a theoretical computer scientist and professor, primarily known for his contributions to parallel computing, numerical linear algebra, and scientific computing. His research focuses on developing efficient algorithms and software for high-performance computing architectures.

Sameh has made significant contributions to the field of sparse matrix computations, particularly in the context of solving large-scale systems of linear equations. His work has influenced the development of parallel algorithms for eigenvalue problems and other core numerical methods used in scientific and engineering applications.

He has held positions at various universities and research institutions, actively contributing to the education of students and the advancement of research in computational science. Sameh's publications have appeared in leading journals and conferences, and he is a respected figure within the high-performance computing community. His work is often cited in research related to scalable algorithms and parallel architectures.