Research Presentations

"Science and technology multiply around us. To an increasing extent
they dictate the languages in which we speak and think.
Either we use those languages, or we remain mute." - James Graham Ballard

Selected Presentations:
MINRES-QLP: A Krylov Subspace Method for Singular Symmetric Linear Equations and Least-Squares Problems,
Hong Kong Baptist University, Hong Kong, January 15, 2009
Mini-Memory + Gene Golub Fellowship,
Symposium on Gene Golub's Legacy:
Matrix Computations–Foundation and Future, Stanford CA, March 1, 2008.
MINRES-QLP: A Krylov subspace method for singular symmetric linear equations and
least-squares problems,
Stanford 50: State of the Art and Future Directions of Computational Mathematics and Numerical Computing,
Stanford, CA, March 29, 2007.
MINRES-QLP: A
Krylov Subspace Method for Singular Symmetric Linear
Equations and Least-Squares Problems, UC Berkeley linear algebra (LAPACK) seminar, Berkeley, CA, January 17, 2007.
Iterative Methods for Singular Linear Equations and Least-Squares Problems, and
Applications,
Ph.D. Oral Defense, Stanford University, Stanford, CA, August 16, 2006.
HOT-PageRank: Tuning in to the Traffic Channel,
NERSC Scientific Computing Seminar, Lawrency Berkeley National Laboratory, Berkeley, CA, November 19, 2004.
HOT-PageRank --- PageRank that
Tunes in to the Traffic Channel, 2004 SIAM Annual Meting, Portland, OR, July 15,
2004.
HOT-PageRank: A Static Ranking Model for Linked Objects,
Stanford Computer Forum Annual Meeting 2004, Student Poster Session, Stanford, CA, May 18, 2004.
Application of Network Flow Model to Internet Search Services, Fourth Annual Summer
Intern Showcase, IBM Almaden Research Center, Almaden, CA, August 12, 2003.
Least-squares computation of eigenvectors and null vectors:
an application of MINRES, GMRES and LSQR, Sparse Days and Grid Computing at St. Girons, Ariege, France, June 13, 2003.
Least-Squares Computation of Eigenvectors, Null Vectors and Singular Vectors -- an Application of Krylov Subspace
Iterations: MINRES, LSQR and GMRES, IBM Almaden Research Center, Almaden, CA, July 25, 2003.
Numerical methods for Markov chains, Numerical Linear Algebra
Seminar, Stanford University, Stanford, CA, October 9, 2002.