Dr. Nijat Aliyev is a research scientist at Czech Technical University, lecturer at Paris De College and Careerera, and founder of the data-driven company “Datalogue Consulting and Training”.

He received his Ph.D. in January 2018 at Koç University, Istanbul. He was a research fellow at the Max Planck Institute in Magdeburg. After his Ph.D., he worked as an assistant professor at Istanbul Zaim University and University French-Azerbaijan. From January 2021 to December 2021, he worked as a postdoctoral research scientist at Charles University’s Department of Numerical Mathematics. Since January 2022, he has worked as a research scientist at Czech Technical University. Currently, he teaches several data science courses at Careerera and Paris de College.

Some of His Selected Publications Include:

[1] Aliyev, N., Benner, P., Mengi, E., Schwerdtner, P. and Voigt, M., Large-scale Computation of L-∞ Norms by a Greedy Subspace Method, SIAM J. Matrix Anal. Appl., 38(4):1496-1516, 2017

[2] Aliyev, N., Mehrmann, V. and Mengi, E., Approximation of Stability Radii for

Large-Scale Dissipative Hamiltonian Systems, Adv. Comput. Math., 46:6, 2020

https://doi.org/10.1007/s10444-020-09763-5

[3] Aliyev, N., Benner, P., Mengi, E. and Voigt, M., A subspace framework for

H∞-Norm Minimization, SIAM J. Matrix Anal. Appl., 41(2): 928-956, 2020,

https://doi.org/10.1137/19M125892X

[4] Aliyev, N., Subspace method for the estimation of large-scale structured real stability radius, Numer. Algor., 34, 1-22, https://doi.org/10.1007/s11075-022-01340-9

[5] Aliyev, N., Benner, P., Mengi, E., Mitchell. T., Schwerdtner, P. and Voigt, M., H∞-Control of Large-Scale Systems, XXI Householder Symposium on Numerical Linear Algebra, 395, 2020