Yousef Saad

Yousef Saad
Contact
Kenneth H. Keller Hall Room 5-225B 200 Union Street SeMinneapolis, MN 55455
Education
Ph.D., University of Grenoble, France (1983)
Ph.D., University of Grenoble, France (1974)
B. S. in Mathematics, University of Algiers (1970)
Professional Background
Yousef Saad joined the Department of Computer Science & Engineering as a professor in 1990. He also served as head of the Department from 1997-2000. Before coming to the University, Saad served as a senior computer scientist and associate professor at the University of Illinois at Urbana-Champaign from 1986-88 and as a senior scientist for the Research Institute for Advanced Computer Science from 1988-90. In 2005, he was recognized as a College of Science and Engineering Distinguished Professor and has been a William Norris Land Grant Chair since 2007.
Saad’s research focuses on numerical linear algebra, sparse matrix computations, iterative methods for linear systems and eigenvalue problems, parallel algorithms in numerical linear algebra, and matrix methods for machine learning.
Research Division
Data Science and Machine Learning
Current Research
Google Scholar
pARMS: parallel Algebraic Recursive Multilevel Solvers
Ph.D. Graduates
Shashanka Ubaru (2018); Vasileios Kalantzis (2018); Ruipeng Li (2015); Thanh Ngo (2014); Daniel Osei-Kuffuor (2011); Jie Chen (2011); Na Li (2006); Bernard Sheehan (2005); Irene Moulitsas (2005; co-advised with George Karypis); Abdelkader Baggag (2003; co-advised with A. Sameh); Edmond Chow (1997); Kesheng Wu (1997); Sangback Ma (2003).
Honors and Awards
2007 - present: William Norris Land Grant Chair in Large-Scale Computing
2023: SIAM John von Neumann Prize
2010: American Association for the Advancement of Science (AAAS) Fellow
2010: SIAM Fellows Program
2005: CSE Distinguished Professor
1997 - 2000: William Norris Land Grant Chair in Large-Scale Computing
Selected Grants
Collaborative Research: Robust acceleration and preconditioning methods for data-related applications: Theory and practice
Saad, Y.; National Science Foundation; 9/1/22 - 8/31/25
Multilevel graph-based methods for efficient data exploration
Saad, Y.; National Science Foundation; 8/1/20 - 7/31/23
Advances in robust multilevel preconditioning methods for sparse linear systems
Saad, Y.; National Science Foundation; 8/1/19 - 7/31/23