CV

Also full CV is available in pdf format.

Education

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

Research Interests

Numerical modeling: domain decomposition, discretization schemes, multiscale methods, a posteriori and a priorri error analysis, robust and efficient solution algorithms.

Recent Awards

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

Teaching

Teaching Assistant at NU (2011-2013)

Teaching Advance Math Courses (2003 - 2006)

Publications

Coarse-graining of CFD-DEM for simulation of sand production in the modified cohesive contact model

Kazidenov, D., Khamitov, F., & Amanbek, Y. (2023). Coarse-graining of CFD-DEM for simulation of sand production in the modified cohesive contact model. Gas Science and Engineering, 204976.

Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation

Amanbek, Y., Merembayev, T. & Srinivasan, S. Framework of fracture network modeling using conditioned data with sequential Gaussian simulation. Arab J Geosci 16, 219 (2023).

Experimental study of DNAPL displacement by a new densified polymer solution and upscaling problems of aqueous polymer flow in porous media

Omirbekov, S., Colombano, S., Alamooti, A., Batikh, A., Cochennec, M., Amanbek, Y., Ahmadi-Senichault, A., & Davarzani, H. (2023). Experimental study of DNAPL displacement by a new densified polymer solution and upscaling problems of aqueous polymer flow in porous media. Journal of Contaminant Hydrology, 252(104120), 104120

Finite Element Model for Wind Comfort Around a Tall Building: A Case Study of Tower of Qazaqstan

Narbayev, B., & Amanbek, Y. (2022). Finite Element Model for Wind Comfort Around a Tall Building: A Case Study of Tower of Qazaqstan. In International Conference on Computational Science and Its Applications (pp. 540-553). Springer, Cham.

Coarse-graining methods for the modified JKR contact model on a triaxial compression test

Kazidenov, Daniyar, Khamitov, Furkhat, and Yerlan Amanbek. "Coarse-Graining Methods for the Modified JKR Contact Model on a Triaxial Compression Test." Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, Santa Fe, New Mexico, USA, June 2022. doi: https://doi.org/10.56952/ARMA-2022-2211

Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms

Merembayev, Timur, and Yerlan Amanbek. "Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms." Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, Santa Fe, New Mexico, USA, June 2022. doi: https://doi.org/10.56952/ARMA-2022-0415

Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin

Kamashev, A., & Amanbek, Y. (2021). Reservoir Simulation of CO2 Storage Using Compositional Flow Model for Geological Formations in Frio Field and Precaspian Basin. Energies, 14(23), 8023.

Inverse properties of a class of seven-diagonal (near) Toeplitz matrices

Kurmanbek, B., Erlangga, Y. & Amanbek, Y. (2022). Inverse properties of a class of seven-diagonal (near) Toeplitz matrices. Special Matrices, 10(1), 67-86.

Numerical simulations of sand production in oil wells using the CFD-DEM-IBM approach

Rakhimzhanova, A., Thornton, C., Amanbek, Y., & Zhao, Y. (2021). Numerical simulations of sand production in oil wells using the CFD-DEM-IBM approach. Journal of Petroleum Science and Engineering, 109529.

The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data

Merembayev, T., Bekkarnayev, K., & Amanbek, Y. (2021, June). The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data. In 55th US Rock Mechanics/Geomechanics Symposium. OnePetro.

Explicit inverse of near Toeplitz pentadiagonal matrices related to higher order difference operators

Kurmanbek, B., Erlangga, Y., & Amanbek, Y. (2021). Explicit inverse of near Toeplitz pentadiagonal matrices related to higher order difference operators. Results in Applied Mathematics, 11, 100164.

Numerical simulations of cone penetration in cemented sandstone

Rakhimzhanova, A., Thornton, C., Amanbek, Y., & Zhao, Y. (2021). Numerical simulations of cone penetration in cemented sandstone. EPJ Web of Conferences, 249, 14010.

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.

Explicit determinantal formula for a class of banded matrices

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

Experimental and Numerical Investigation of the Plastic Zone Permeability

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.

Adoption of e-government in the Republic of Kazakhstan

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.

COVID-19 OUTBREAK IN POST-SOVIET STATES: MODELING THE BEST AND WORST POSSIBLE SCENARIOS

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.

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.

Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport

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.

Adaptive Homogenization for Upscaling Heterogeneous Porous Medium

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.

Service

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.

Yerlan Amanbek