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publications
Adaptive Homogenization for Upscaling Heterogeneous Porous Medium
Published in SPE Annual Technical Conference and Exhibition, 2017
Recommended citation: 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. https://doi.org/10.2118/187113-MS
Adaptive Numerical Homogenization for Upscaling Single Phase Flow and Transport
Published in Journal of Computational Physics, 2019
Recommended citation: 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. https://doi.org/10.1016/j.jcp.2019.02.014
A priori error analysis for transient problems using Enhanced Velocity approach in the discrete-time setting
Published in Journal of Computational and Applied Mathematics, 2019
Recommended citation: 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. https://doi.org/10.1016/j.cam.2019.05.009
Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method
Published in ICCS 19, A-rank conference., 2019
Recommended citation: 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. https://doi.org/10.1007/978-3-030-22747-0_38
Error indicators for the incompressible Darcy flow problems using Enhanced Velocity Mixed Finite Element Method
Published in Computer Methods in Applied Mechanics and Engineering, 2020
Recommended citation: 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. https://www.sciencedirect.com/science/article/pii/S0045782520300669
COVID-19 OUTBREAK IN POST-SOVIET STATES: MODELING THE BEST AND WORST POSSIBLE SCENARIOS
Published in Electronic Journal of General Medicine, 2020
Recommended citation: 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. https://doi.org/10.29333/ejgm/8346
A proof of Anđelić-Fonseca conjectures on the determinant of some Toeplitz matrices and their generalization.
Published in Linear and Multilinear Algebra, 2020
Recommended citation: 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. https://doi.org/10.1080/03081087.2020.1765959
Adoption of e-government in the Republic of Kazakhstan
Published in Journal of Open Innovation: Technology, Market, and Complexity, 2020
Recommended citation: 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. https://www.sciencedirect.com/science/article/pii/S219985312200539X
Experimental and Numerical Investigation of the Plastic Zone Permeability
Published in 54th US Rock Mechanics/Geomechanics Symposium, 2020
Recommended citation: 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. https://www.onepetro.org/conference-paper/ARMA-2020-1626
Existence of traveling wave solutions to data-driven glioblastoma multiforme growth models with density-dependent diffusion
Published in Mathematical Biosciences and Engineering, 2020
Recommended citation: 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 http://doi.org/10.3934/mbe.2020371
Explicit determinantal formula for a class of banded matrices
Published in Open Mathematics, 2020
Recommended citation: 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. https://doi.org/10.1515/math-2020-0100
A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
Published in Energies, 2021
Recommended citation: 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. https://doi.org/10.3390/en14071896
Numerical simulations of cone penetration in cemented sandstone
Published in EPJ Web Conf., 2021
Recommended citation: Rakhimzhanova, A., Thornton, C., Amanbek, Y., & Zhao, Y. (2021). Numerical simulations of cone penetration in cemented sandstone. EPJ Web of Conferences, 249, 14010. https://doi.org/10.1051/epjconf/202124914010
Explicit inverse of near Toeplitz pentadiagonal matrices related to higher order difference operators
Published in Results in Applied Mathematics, 2021
Recommended citation: 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. https://doi.org/10.1016/j.rinam.2021.100164
The Identification Models of the Copper Recovery Using Supervised Machine Learning Algorithms for the Geochemical Data
Published in 55th US Rock Mechanics/Geomechanics Symposium, 2021
Recommended citation: 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. https://onepetro.org/ARMAUSRMS/proceedings/ARMA21/All-ARMA21/ARMA-2021-1746/468112
Numerical simulations of sand production in oil wells using the CFD-DEM-IBM approach
Published in Journal of Petroleum Science and Engineering, 2021
Recommended citation: 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. https://doi.org/10.1016/j.petrol.2021.109529
Inverse properties of a class of seven-diagonal (near) Toeplitz matrices
Published in Special Matrices, 2021
Recommended citation: Kurmanbek, B., Erlangga, Y. & Amanbek, Y. (2022). Inverse properties of a class of seven-diagonal (near) Toeplitz matrices. Special Matrices, 10(1), 67-86. https://doi.org/10.1515/spma-2021-0148
Reservoir Simulation of CO2 Storage using Compositional Flow Model for geological formations in Frio Field and Precaspian Basin
Published in Energies, 2021
Recommended citation: 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. https://doi.org/10.3390/en14238023
Time-Series Event Prediction for the Uranium Production Wells Using Machine Learning Algorithms
Published in 56th U.S. Rock Mechanics/Geomechanics Symposium, 2022
Recommended citation: 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 https://doi.org/10.56952/ARMA-2022-0415
Coarse-graining methods for the modified JKR contact model on a triaxial compression test
Published in 56th U.S. Rock Mechanics/Geomechanics Symposium, 2022
Recommended citation: 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 https://doi.org/10.56952/ARMA-2022-2211
Finite Element Model for Wind Comfort Around a Tall Building: A Case Study of Tower of Qazaqstan
Published in ICCSA, Springer, 2022
Recommended citation: 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. https://doi.org/10.1007/978-3-031-10542-5_37
Experimental study of DNAPL displacement by a new densified polymer solution and upscaling problems of aqueous polymer flow in porous media
Published in Journal of Contaminant Hydrology, 2023
Recommended citation: 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 https://doi.org/10.1016/j.jconhyd.2022.104120
Framework of Fracture Network Modeling using Conditioned Data with Sequential Gaussian Simulation
Published in Arabian Journal of Geosciences , 2023
Recommended citation: Amanbek, Y., Merembayev, T. & Srinivasan, S. Framework of fracture network modeling using conditioned data with sequential Gaussian simulation. Arab J Geosci 16, 219 (2023). https://doi.org/10.1007/s12517-022-11073-7
Coarse-graining of CFD-DEM for simulation of sand production in the modified cohesive contact model
Published in Gas Science and Engineering, 2023
Recommended citation: 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. https://doi.org/10.1016/j.jgsce.2023.204976
talks
Modeling flow and transport using Enhanced Velocity Mixed FEM and Numerical Homogenization
Published:
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teaching
Teaching Advance Math Courses (2003 - 2006)
International/National Math Olympiad, Physics & Mathematical High Schools, 2003
Teaching Assistant at NU (2011-2013)
Undergraduate course, Nazarbayev University, 2011
Instructor at NU
Undergraduate course, Nazarbayev University, 2013
- MATH 161, Calculus I
Team Leader
Mentoring, Nazarbayev University, 2013
prepared and mentored undergraduate students for International Math Competition for University students in 2012 and 2013. The first ever team participation in 2012 was successful and the team won 2 bronze medals. Second participation in 2013 had improvement of the team result, i.e. the team won 3 silver medals, 1 certificate of merit and it was announced in the news.
Teaching Assistant at UT
Graduate course, The University of Texas at Austin, 2016
CSE 393F, Finite Element Methods (2016, Prof. Mary Wheeler )
Professional Development
Preparation series, The University of Texas at Austin, 2017
- College of Natural Sciences Graduate Concentration in Undergraduate Teaching and Mentoring: an introduction to training in effective mentoring.
- Teaching Preparation Series Certificate
Postdoc at NU
Undergraduate course, Nazarbayev University, 2019
- MATH 161, Calculus I