Staff

Фотография Takuadina Aliya Ibragimovna
Takuadina Aliya Ibragimovna

Scientific/academic degree: Doctor of Philosophy PhD

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Education/ Scientific biography:

Education 2003-2006 - E.A. Buketov Karaganda State University with a degree in Mathematics (Bachelor's degree).
2006-2008 - E.A. Buketov Karaganda State University, majoring in Mathematics (Master's degree).
2017-2021 - L.N. Gumilyov Eurasian National University with a degree in Computer Science (PhD).
Academic degree, academic title Doctor of Philosophy PhD in the specialty "6D060200 - Computer Science"
Scientific interests Information technologies in education, inverse problems in medicine (epidemiology).
Scientific projects Head of the grant scientific project AP19679263 Study of health literacy among students of higher educational institutions of the Republic of Kazakhstan for improving approaches to promoting and strengthening health 2023-2025.
Member of the working group of the international Erasmus+ project ACCELERATED "Improvement of nursing at the Master's and PhD doctoral levels in the higher education system of Kazakhstan".

Список публикаций:
  1. Sergey Kabanikhin, Olga Krivorotko, Aliya Takuadina, Darya Andornaya and Shuhua Zhang. Geo-information system of tuberculosis spread based on inversion and prediction. Journal of Inverse and Ill-posed Problems, 000010151520200022, eISSN 1569-3945, ISSN 0928-0219, DOI: 10.1515/jiip-2020-0022.
  2. Sorokina, M., Korshukov, I., Koichubekov, B., Takuadina, A. Comparison of forecast performance of severe acute respiratory infection incidents using ARIMA and TBATS models in pre-pandemic and COVID-19 pandemic period. 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES 5–8 September 2022, Belgrade, Serbia, - Volume 2872, Issue 1, 28 September 2023. DOI: 10.1063/5.0164979.
  3. Koichubekov, B., Takuadina, A., Korshukov, I., Sorokina, M. Optimization of the Covid-19 spreading model in a large urban settlement. 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES 5–8 September 2022, Belgrade, Serbia, - Volume 2872, Issue 1, 28 September 2023. DOI: 10.1063/5.0169564.
  4. Omarova, Gulmira & Aitkozha, Zhangeldi & Sadirmekova, Zhanna & Zhidekulova, Gulkiz & Kazimova, Dinara & Muratkhan, Raikhan &Takuadina, Aliya & Abdykeshova, Damesh. Devising a methodology for X-ray image contrast enhancement by combining CLAHE and gamma correction. Eastern-European Journal of Enterprise Technologies. 3. 18-29. DOI: 10.15587/1729-4061.2022.258092.
  5. Koichubekov, B., Takuadina, A., Korshukov, I., Sorokina, M. Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan. Healthcare (Switzerland), 2023, 11(5), 752.
  6. Koichubekov, B., Takuadina, A., Korshukov, I., Sorokina, M., Turmukhambetova, A. The Epidemiological and Economic Impact of COVID-19 in Kazakhstan: An Agent-Based Modeling. Healthcare (Switzerland), 2023, 11(22), 2968. DOI: 10.3390/healthcare11222968.
  7. Omarova, G., Starovoitov, V., Myrzamuratova, Takuadina, A., Beisenbayeva, K., Sadirmekova, Z. No-reference quality assessment of medical images using contrast enhancement. Journal of Theoretical and Applied Information Technology, 2023, 101(1), pp. 267–281.
  8. Zhuzbayev, S., Khabdolda, B., Muratkhan, R., Tanirbergenov, A, Abdykhalyk, A, Takuadina, A, Taszhurekova, Zh, Zhumabekov, M., Seitzhan, N. Model construction and development of an algorithm for the problem of propagation of flexible waves in a half-plane with partial about an elastic strip placed. Journal of Theoretical and Applied Information Technology, 2023, 101(3), 1351–1360.

Contact information:

takuadina@qmu.kz +7 7212 503930