Vasileios Kalantzis           

I am a Herman H. Goldstine Memorial Postdoctoral Fellow and a member of the Center for Computational and Statistical Learning at Thomas J. Watson Research Center of International Business Machines Corporation (IBM), Yorktown Heights, NY.

I received my PhD (2018) and M.Sc (2016) in Computer Science and Engineering from the University of Minnesota, Twin Cities, USA. My dissertation is titled "Domain decomposition algorithms for the solution of sparse symmetric generalized eigenvalue problems" and was carried under the supervision of Prof. Yousef Saad. Prior to that, I obtained my M.Sc (2014) and M.Eng (2011) in Computer Engineering from the University of Patras, Greece. 

I was born and raised in the city of Patras, Greece. For more information, please see my personal webpage.

News:

7/2019: Attended “Preconditioning 2019" (Minneapolis, MN).

3/2019: Attended SIAM's CSE conference (Spokane, WA).

2/2019: Paper on PCA analysis of large-scale genotypic datasets (with A. Bose, E. Kontopoulou, M. Elkadi, P. Paschou, and P. Drineas) accepted at Oxford's Bioinformatics.

1/2019: Attended ICERM's workshop on Scientific Machine Learning (Providence, RI).

12/2018: Gave a seminar talk on large-scale eigenvalue computations at UMass Dartmouth.

12/2018: Paper on generalized matrix functions (with J. L. Aurentz, A. P. Austin, and Michele Benzi) accepted at SIMAX.

9/2018: Started my appointment at IBM Research.