Also full CV is available in pdf format.
- Ph.D in Computational Science, Engineering & Mathematics, The University of Texas at Austin, USA, 2018
- M.Sc. in IT, Nanyang Technological University, Singapore, 2009
- B.Sc. in Applied Mathematics and Computer Science, Al-Farabi Kazakh National University, Kazakhstan, 2006
Numerical modeling: domain decomposition, discretization schemes, multiscale methods, a posteriori and a priorri error analysis, robust and efficient solution algorithms.
- Graduate School Summer Fellowship, the University of Texas at Austin, 2018
- Texas Applied Math & Eng Symposium (TAMES) Best Poster Award, USA, 2017
- Research Experience Carbon Sequestration Program Award, USA, 2017
- SIAM Travel Award, USA, 2017
- CIME-Foundation and CIRM Grant, Italy, 2016
A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
Merembayev T, Kurmangaliyev D, Bekbauov B, Amanbek Y. A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan. Energies. 2021; 14(7):1896.
Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin
Kamashev, A., & Amanbek, Y. (2021, March 8). Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin. engrXiv preprint.
Yerlan Amanbek, Zhibin Du, Yogi Erlangga, Carlos M. da Fonseca, Bakytzhan Kurmanbek and António Pereira. Explicit determinantal formula for a class of banded matrices. Open Mathematics, 18(1), 1227-1229.
Existence of traveling wave solutions to data-driven glioblastoma multiforme growth models with density-dependent diffusion
Ardak Kashkynbayev, Yerlan Amanbek, Bibinur Shupeyeva, Yang Kuang. Existence of traveling wave solutions to data-driven glioblastoma multiforme growth models with density-dependent diffusion. Mathematical Biosciences and Engineering, 2020, 17(6): 7234-7247. doi: 10.3934/mbe.2020371
Shabdirova, A. D., Khamitov, F., Kozhagulova, A. A., Amanbek, Y., Minh, N. H., & Zhao, Y. (2020, September). Experimental and Numerical Investigation of the Plastic Zone Permeability. In 54th US Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association.
Amanbek, Y., Balgayev, I., Batyrkhanov, K., & Tan, M. (2020). Adoption of e-government in the Republic of Kazakhstan. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 46.
A proof of Anđelić-Fonseca conjectures on the determinant of some Toeplitz matrices and their generalization.
Kurmanbek, B., Amanbek, Y., & Erlangga, Y. (2020). A proof of Anđelić-Fonseca conjectures on the determinant of some Toeplitz matrices and their generalization. Linear and Multilinear Algebra.
Issanov, A., Amanbek, Y., Abbay, A., Adambekov, S., Aljofan, M., Kashkynbayev, A., & Gaipov, A. (2020). COVID-19 OUTBREAK IN POST-SOVIET STATES: MODELING THE BEST AND WORST POSSIBLE SCENARIOS. Electronic Journal of General Medicine, 17(6): em256.
Amanbek, Y., Merembayev, T., & Srinivasan, S. (2020). Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation. arXiv preprint arXiv:2003.01327.
Error indicators for the incompressible Darcy flow problems using Enhanced Velocity Mixed Finite Element Method
Amanbek, Y., Singh, G., Pencheva, G., & Wheeler, M. F. (2020). Error indicators for incompressible Darcy Flow problems using Enhanced Velocity Mixed Finite Element Method. Computer Methods in Applied Mechanics and Engineering, 363, 112884.
Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method
Amanbek Y., Singh G., Wheeler M.F. (2019) Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method. In: Rodrigues J. et al. (eds) Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science, vol 11539. Springer, Cham.
A priori error analysis for transient problems using Enhanced Velocity approach in the discrete-time setting
Amanbek, Y., and Wheeler, M. F. (2019). A priori error analysis for transient problems using Enhanced Velocity approach in the discrete-time setting. Journal Of Computational And Applied Mathematics, 361, 459-471.
Amanbek, Y., Singh, G., Wheeler, M. F., and van Duijn, H. (2019). "Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport". Journal of Computational Physics, 387, 117 - 133.
Singh, G., Amanbek, Y. and Wheeler, M. F. Adaptive Homogenization for Upscaling Heterogeneous Porous Medium, SPE-187113-MS, SPE Annual Technical Conference and Exhibition, Oct 9-11, 2017, San Antonio, Texas.
presentation at InterPore 2019, Valencia, Spain
Adaptive multiscale method on flow and reactive transport using numerical homogenization and Enhanced Velocity Mixed FEM
presentation at Texas Applied Mathematics and Engineering Symposium, The University of Texas at Austin, Texas, USA
presentation at Finite Element Rodeo, University of Houston, Houston, Texas, USA
presentation at SIAM Conference on Computational Science and Engineering (CSE17), Atlanta, Georgia, USA
presentation at Finite Element Rodeo, Texas A&M, College Station, Texas, USA
- Reviewer for peer-reviewed journals: Journal of Computational Physics 2019
- Leader of the Nazarbayev University Team at Al-Khorezmi International Mathematical Olympiad 2018, Urgench, Uzbekistan
- Leader of the Nazarbayev University Team at 19th and 20th International Mathematics Competition for University Students, Blagoevgrad, Bulgaria 2012 and 2013
- Organized selection process with Professors from different schools.
- Mentored students during preparation, coordinated the process team trip and performance of team.
- As result, the most participations were awarded with medals.