1. Машинное обучение
2. Глубокие обучение
3. Численный анализ

Моделирование обратных задач с помощью глубоких нейронных сетей

Обладатель международной стипендии Президента Республики Казахстан «Болашак». Стипендия в Калифорнийском университете Лос-Анджелеса, г. Лос-Анджелес, США, в 2018-2019 гг.

1. Опубликовано более 25 научных статей.
2. Meirmanov A.M., Nurtas M, Mathematical models of seismic in composite media: elastic and poroelastic components. Electronic Journal of Differential Equations. - 2016. -Article number: 184. -PP.1-22. Thomson Reuters, IF= 0.954. Quartiles: Q2, Percentile: 53%. EID: 2-s2.0-84978512564, ISBN: 10726691.
3. Meirmanov A.M., Mukhambethzanov, S., Nurtas M, Seismic in composite media: elastic and poroelastic components // Siberian Electronic Mathematical Reports. - 2016. - V. 13.  - PP. 75 - 88. (Scopus), DOI: 10.17377/semi.2016.13.006, EID: 2-s2.0-84974845668, ISBN: 18133304.
4. Marat Nurtas, Ydyrys Aizhan, Altaibek Aizhan, Using of Machine Learning algorithm and Spectral method for simulation of Nonlinear Wave Equation. ICEMIS'20: Proceedings of the 6th International Conference on Engineering & MIS 2020September 2020. Article No.: 43 Pages 1–6https://doi.org/10.1145/3410352.3410778.
5. Marat Nurtas, Zharsbek Baishemirov, Ydyrys Aizhan, Altaibek Aizhan, 2-D Finite Element method using" eScript" for acoustic wave propagation. ICEMIS'20: Proceedings of the 6th International Conference on Engineering & MIS 2020 September 2020.  Article No.: 40 Pages 1–7https://doi.org/10.1145/3410352.3410774.
6. Marat Nurtas, Baishemirov Zharasbek, Zhanabekov Zhandos, Convalutional Neural Networks as a method to solve estimation problem of acoustic wave propogation in poroelastic media, News of the National Academy of sciences of the Republic of Kazakhstan. Volume 4, Number 332 (2020), 52 – 60. https://doi.org/10.32014/2020.2518-1726.65.
7. Marat Nurtas, Tokmukhanbetova F. K, Numerical Solution of the Poroelastic Wave Equation Using Finite Element Method. 9th International Eurasian conference on mathematical science and applications. IECMSA -2020, Skopje-NORTH MACEDONIA, August 26, 2020.
8. Marat Nurtas, Baishemirov Zharasbek, Zhanabekov Zhandos, Applying Neural Network for predicting cardiovascular disase risk, News of the National Academy of sciences of the Republic of Kazakhstan. Volume 4, Number 332 (2020), 28 – 34. https://doi.org/10.32014/2020.2518-1726.62.
9. Marat Nurtas, Zh. D. Baishemirov, Investigation of the temperature regime of the territory of the Semipalatinsk polygon and description of the mathematical model and its numerical solution, News of the National Academy of sciences of the Republic of Kazakhstan, Vol 4, Number 326 (2019), 110-121. https://doi.org/10.32014/2019.2518-1726.49,
10. Meirmanov A.M., Nurtas M, Reverse problems of acoustics of powereelastic media: construction of approximate solutions, “Herald” Journal KBTU, 2015г.
11. Meirmanov A.M., Nurtas M, Determination of the characteristics of a porous medium using an acoustic model, “Herald” Journal, 2015г.
12. Nurtas M,  The role and importance of development of the theory and regulatory framework to ensure the unity of geophysical measurements in wells. International scientific-practical conferences Moscow, March 30, 2018. - С. 290 - 297. (RINC)
13. Zh. D. Baishemirov, Marat Nurtas, Zh.Zh.Baimurzayev,  Method of averaging with splitting nonlocality, Vestnik KazNRTU, №4 (134), 2019,  pp. 450-454.
14. Zh. D. Baishemirov, Marat Nurtas., About one method of averaging with the splitting of non-locality / Proceedings of the International Conference, Voronezh Spring Mathematics School PONTRIAGINSKY Readings XXXI Dedicated to the memory of Yuliy Vitalievich Pokorny (80th birthday) May 3-9, 2020 pp. 41-44.

Языки программирования:

• C/ C++
• MatLab
• Python
• R

Знание программных обеспечении:

• Latex
• Tableau
• Comsol Multiphysics

Является исполнителем международного проекта совместно с Erasmus + Programme of the European Union ELBA – “Создание учебных и исследовательских центров и разработка курсов по интеллектуальному анализу больших данных в Центральной Азии” 610170-EPP-1-2019-1-ES-EPPKA2-CBHE-JP. 15/10/2019 - 14/10/2022.