Markhaba A. Karmenova

Dissertation topic

Development of methods for seismic resistance assessment of urban objects based on data analysis technology

Domestic scientific consultant

1. Galina V. Popova, Candidate of Physical and Mathematical Sciences, D. Serikbayev East Kazakhstan Technical University, Associate Professor of the School of Information Technologies and Intelligent Systems, Ust-Kamenogorsk, Kazakhstan.

Scopus Author ID: 57211145797. https://www.scopus.com/authid/detail.uri?authorId=57211145797.

2. Aizhan S. Tlebaldinova, PhD, Hirsch index - 2, Sarsen Amanzholov East Kazakhstan University, Associate Professor of the Department of Computer Modeling and Computer Technologies, Ust-Kamenogorsk, Kazakhstan.

Scopus Author ID: 56825933500. https://www.scopus.com/authid/detail.uri?authorId=56825933500.

Foreign scientific consultant

Wójcik Waldemar, Doctor of Technical Sciences, Hirsch Index - 23, Lublin Technical University, Professor, Lublin, Poland.

Scopus Author ID: 7005121594. https://www.scopus.com/authid/detail.uri?authorId=7005121594.

Main scientific results

Methods for assessing the seismic resistance of urban objects and analysis of seismic data based on data mining using machine learning methods have been developed. A new approach to "quick" assessment of seismic resistance of urban objects, based on the use of clustering and classification algorithms, has been investigated. In addition, in the implementation of seismic data analysis, a new approach is also proposed, which includes cluster analysis in order to detect areas with increased spatial density of seismic events.

Direct result

An intelligent information and analytical system has been developed, which allows a "quick" assessment of the seismic resistance of urban objects, and also implements the analysis of seismic data. The system is based on data mining technology and machine learning methods. This system has a web-oriented architecture, which allows it to be loaded from any workspace. For this development there are 2 certificates of state registration of rights to the object of copyright: №14910 dated February 5, 2021, №15298 dated February 18, 2021.

Scientific works

1. Карменова М.А., Попова Г.В. Исследование возможностей построения 3D-моделей городских объектов в Agisoft Photoscan Pro. Вестник ВКГТУ им.Д.Серикбаева, №3, 2019г., С.29-34. /files/vestnik/geo3_2019.pdf. Recommended by ССFES RK.

2. Карменова М.А., Тлебалдинова А.С., Жантасова Ж.З. Қалалық объектілердің 3d үлгілерін құруға арналған үш өлшемді фотограмметрияю. Вестник КазНТУ, №1(137), Январь 2020г., С.322-328. https://official.satbayev.university/download/document/14380/Vestnik_KazNRTU.pdf. Recommended by ССFES RK.

3. Карменова М.А., Нугуманова А.Б., Тлебалдинова А.С. Кластерный анализ данных в решении задач по оценке сейсмической уязвимости объектов городской среды. Вестник Алматинского университета энергетики и связи, научно-технический журнал, 1(48), Май 2020г., С.102-109. https://vestnik.aues.kz/index.php/none/issue/view/59/65. Recommended by ССFES RK.

4. Карменова М.А., Тлебалдинова А.С., Мадияров М.Н., Жантасова Ж.З. Spatial Analysis of the Earthquakes Distribution in Kazakhstan for Risk Mapping. Вестник Национальной инженерной академии РК (НИАРК), Вьiчислительньiе технологии, Федеральный исследовательский центр информационных и вычислительных технологий, Часть 1, №3, 9-10 октября 2020г., С.149-157. https://acagor.kz/media/uploads/citech-2020/CITech_Part1_Final_rev2.pdf. Recommended by ССFES RK.

5. Карменова М.А., Тлебалдинова А.С., Смаилова С.С., Попова Г.В. Применение метода пространственной кластеризации для сейсмических данных. Вестник ВКТУ им.Д.Серикбаева, №4(90), Декабрь 2020г., С.36-40. /files/vestnik/Vestnik_4-2020.pdf. Recommended by ССFES RK.

The Hirsch index

-

Funded research projects

-

Level of foreign language proficiency

English language - Intermediate