- Thèmes de recherche/Research topics:
Modélisation math et simulation numérique, applications / Math modelling and numerical simulation, biomedical applications, shape optimization - June 2021/2025 Phd - Advisors : Christian Gout (INSA Rouen, France) & Sergei Kuksenko (Tomsk, Russia) : Mathematical modelling and numerical simulation for biomedical applications : from the process of drug delivery to image segmentation process on medical images.
- Impliquée dans le projet INTERTWIND (Plan de Relance, SGRE, INSA Rouen)
- March 2023 : 3D printing works >>>
- 2019/20 : Survey in Image segmentation under geometrical constraints for medical applications (with Christian Gout)
With 
- Articles
- G. Khayretdinova, C. Gout, D. Apprato, A level set based model for image segmentation under geometric , submitted, 2023.
- G. Khayretdinova, T. Chaumont-Frelet, C. Gout, S. Kuksenko, Image segmentation with a priori conditions: applications to medical and geophysical imaging, Math. Comput. Appl. 27(2), 26, 2022.
- G. Khayretdinova, C. Gout, D. Apprato, A level set based model for image segmentation under geometric , submitted, 2023.
- Conférences and communication
- May 22-26, 2023 : Conference SMAI 2023, Wind velocity field and oceanic surface currents approximation and visualization from sparse data, Guadeloupe, France.
- Image segmentation under constraints : theory and applications to medical images, G. Khayretdinova, November 17, 2022, @Conference : 6èmes Journées rouennaises MNSN" : Modélisation Mathématique et Simulation Numérique pour le traitement d'image, l'énergie, le développement durable et la morphodynamique côtière, Rouen France.
- Image segmentation with a priori conditions: applications to medical and geophysical imaging, G. Khayretdinova, Workshop "Intelligence Artificielle - Applications et défis mathématiques", Cycle de journées nationales [AMIES, INSMI], "Intelligence Artificielle & Entreprises - Applications et défis mathématiques", INSA Rouen, september 30, 2021.
- A survey of image segmentation under geometrical constraintes in medical image, G. Khayretdinova, Modelling and numerical simulation workshop @ INSA, Nov. 21-22, 2019.
- Traffic Sign Classification with Tensorflow, D. Lechshinskiy, M. Povzun, G. Khayretdinova, I. Shlotgauer, Day on Approximation de données : applications en imagerie et data science - GM5, LMI- INSA Rouen, march 3, 2019.
- Image processing : edge detection, D. Lechshinskiy, M. Povzun, G. Khayretdinova, I. Shlotgauer, Day on Approximation de données : applications en imagerie et data science - GM5, LMI-INSA Rouen, march 3, 2019.
- Scientific conference of students of mechanics and mathematics department, TSU Nov. 24-29, 2017, Tomsk.
- Scientific conference of students of mechanics and mathematics department, TSU April 25-30, 2017, Tomsk.
- Youth scientific conference "All aspects of mathematics and mechanics", TSU 20.04.16 - 25.04.16, Tomsk.
- Siberian conference on parallel and high performance computing, TSU 25.10.15 - 28.10.15, Tomsk.
- May 22-26, 2023 : Conference SMAI 2023, Wind velocity field and oceanic surface currents approximation and visualization from sparse data, Guadeloupe, France.
- Grant/Funding
- 2023: 4,5 months + 2 months (INSA Rouen, INTERWIND project)
- October-December 2021 (3 months project funding from INSA Rouen) : image segmentation, variational apporach, deep learning approaches.
- Since 2021 : Scholarship (TUSUR)
- Administration
- Participation à l'organisation du workshop MSN Rouen 2023.
- Master's thesis
- Space of continuously differentiable functions, G. Khayretdinova, 37 p., Université de Rouen, 2019.
- Formation
- Université de Rouen, France (2018-2019)
Master in Mathematics : Modélisation et Analyse Mathématique (Mathematical Modelling and Analysis)
Education fields (direction): Mathematical modeling (double degree programme)
Degree: Master of mathematics
Master thesis advisors : T. Khmyleva (Tomsk) and A. Bouziad (Rouen). - Tomsk State University (2017-2019)
Faculty of Mechanics and Mathematics
Education fields (direction): Mathematical analysis and modeling (double degree programme)
Degree: Master of mathematics - Tomsk State University (2013-2017)
Faculty of Mechanics and Mathematics
Education fields (direction): Mathematics and computer sciences - Degree: Bachelor of mathematics
Graduation qualification thesis (Bachelor’s thesis) themed “Spaces of continuously-differentiable functions”
- Université de Rouen, France (2018-2019)