• Ph.D. in Numerical Mathematics, Institute of Numerical Mathematics of Russian Academy of Sciences, Russia, Supervisor Ivan Oseledets. 2015.
  • M.Sc. in Applied Mathematics and Informatics, Moscow State University, Russia,Sipervisor Ivan Oseledets. 2010.

Aleksandr Mikhalev is a Postdoctoral fellow in the Extreme Computing Research Center. His research focuses on Integral equations and arising hierarchical matrices, optimisation through maximal volume submatrices, software development.

Mikhalev is also the leading author in the STARS-H software, a high-performance parallel open-source package of Software for Testing Accuracy, Reliability and Scalability of Hierarchical computations.

Research Interests

Aleksandr Mikhalev's research interest include Integral equations and arising hierarchical matrices, optimisation through maximal volume submatrices and Software development.


Selected Publications

Mikhalev, A., & Oseledets, I. V. (2018). Rectangular maximum-volume submatrices and their applications. Linear Algebra and Its Applications, 538, 187–211. doi:10.1016/j.laa.2017.10.014
Akbudak, K., Ltaief, H., Mikhalev, A., & Keyes, D. (2017). Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures. High Performance Computing, 22–40. doi:10.1007/978-3-319-58667-0_2