The composition of the department

Shukurova Xursandoy Shahobiddinovna

Stajer-o‘qituvchi(1,00 stavka)

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Scientific activity

The department conducts research in the field of modeling intuitive decision-making processes in artificial intelligence. Research topics – non-parametric methods for solving problems of pattern recognition, calculating generalized estimates based on linear and non-linear mapping, description of objects in a heterogeneous feature space on a numerical axis, methods for extracting a subset of informative features, minimizing a training sample by constructing a coverage of reference objects according to the minimum set of informative features , calculation of the measure of compactness, formation of latent features based on the stability property of heterogeneous features, solving the problem of big data using data mining methods.

There is a seminar “Intellectual and numerical methods for solving practical problems” in the department. It listens to reports, employees of the department, including PhD students on the results of scientific research, as well as discussions of dissertations.

Defense of doctoral dissertations: N.A. Ignatiev (2005 y.), Sh.F. Madrakhimov (2020 y.).

PhD dissertation defenses: D.Yu. Saidov (2018), K.K. Khudaibergenov (2020).

Members of the department publish their scientific works in prestigious scientific journals of the republic and foreign, actively participate in scientific conferences.

Scientific articles published in recent years:

• Игнатев Н.А. Вычисление обобщённых показателей и интеллектуалный анализ данных // Автоматика и телемеханика. 2011, №5,  С.183–190.
• Игнатев Н.А., Мадрахимов Ш.Ф. Устойчивость и обобщённые оценки классифицированных объектов в разнотипном признаковом пространстве // Вычисл. технологии, Новосибирск, 2011.-Т.16, № 2, С.70-77.
• D.Y.Saidov. Data Visualization and its Proof by Compactness Criterion of Objects of Classes// I.J. Intelligent Systems and Applications, 2017, 8, 51-58
• Ignatev N.A., Mirzaev A.I. The Intelligent Health Index Calculation System// Journal of Pattern recognition and Image Analysis, 2016, № 1, P. 73–77.
• Ignatyev N. A.  Structure Choice for Relations between Objects in Metric Classification Algorithms  // Pattern Recognition  and Image Analysis. 2018. V. 28. № 4. P. 590–597.
• Ignatyev N. A. On Nonlinear Transformations of Features Based on the Functions of Objects Belonging to Classes // Pattern Recognition  and Image Analysis. 2021. V. 31. № 2. P. 197–204.
• N.A.Ignatyev, Sh.F.Madrakhimov  D.Y.Saidov Stability of Object Classes and Selection of the Latent Features // INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY AND SCIENCES (IJETS) Vol.7 (1) June 2017 DOI: http://dx.doi.org/10.15282/ijets.7.2017.1.9.1071
• Sh.F.Madrakhimov, A.H.Khurramov Search for regularities by intervals of values of quantitative features // ACADEMICIA. An International Multidisciplinary Research Journal, Vol 11, Issue 4, April 2021 (https://saarj.com).
• Shavkat Madrakhimov, Kodirbek Makharov, Musulmon Lolaev Data preprocessing on input // AIP Conference Proceedings 2365, 030003 (2021), https://doi.org/10.1063/5.0058132.
• G. A. Rozikhodjaeva, Sh.F. Madrakhimov, K. T. Makharov Construction of fuzzy inference rules for medicine diagnostics problems// Journal of Physics: Conference Series 2032 (2021) 012032 IOP Publishing DOI:10.1088/1742-6596/2032/1/012032.
• Toychiev A, Belotserkovets V, Ignat’ev N, Madrakhimov S, Shaislamova M, Osipova S. Prevalence of chronic pulmonary aspergillosis and the antifungal drug resistance of Aspergillusspp in pulmonary tuberculosis patients in Uzbekistan. Trop Doct. 2022 Jun 30:494755221110678. doi: 10.1177/00494755221110678. Epub ahead of print. PMID: 35770798.
• Мадрахимов Ш.Ф., Махаров К.Т., Хуррамов А.Х. Отбор информативных признаков с учётом пропусков в данных // Проблемы вычислительной и прикладной математики. – 2022. – №4(42). – С. 147-157.
• Marakhimov A.R., Kudaybergenov J.K., Khudaybergenov K.K., Ohundadaev, U.R. A multivariate binary decision tree classifier based on shallow neural network. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022, 22(4), pp. 725–733.
• Marakhimov A.R., Khudaybergenov K.K. A Fuzzy MLP Approach for Nonlinear System Identification. Journal of Mathematical Sciences (United States), 2022, 265(1), pp. 43–51.
• Marakhimov A.R., Khudaybergenov K.K. A Recurrent Method for Structural-Parametric Identification of Fuzzy Neural Networks. Advances in Intelligent Systems and Computing, 2021, 1323 AISC, pp. 47–54.
• Marakhimov A.R., Khudaybergenov K.K. Approach to the synthesis of neural network structure during classification. International Journal of Computing, 2020, 19(1), pp. 20–26.
• У.Ю.Тулиев Кластерный анализ текстовых документов по отношению их связности // Проблемы вычислительной и прикладной математики, 2019. — № 5(23). — С. 102–109.
• Игнатьев Н.А., Тулиев У.Ю. Анализ степени сходства и связности тематических документов на основе мер компактности // Проблемы вычислительной и прикладной математики. – 2021. – № 6(36). – С. 89-97.
• Мирзаев А.И., Тулиев У.Ю. О важности выбора первого шага при отборе информативных наборов признаков // Проблемы вычислительной и прикладной математики, 2021. — № 1(31). — С. 118–124.
• U.Y.Tuliyev Space formation for the description of thematic documents // AIP Conference Proceedings 2365, 070007 (2021); https://doi.org/10.1063/5.0056963.
• Рахимова М. А. О количественной оценке состояния здоровья по возрастным группам // III Международное книжное издание стран Независимых Государств «Лучший молодой ученый-2021». 2021. С.73-77.
• Игнатьев Н.А., Рахимова М.А. Формирование и анализ наборов информативных признаков объектов по парам классов // Искусственный интеллект и принятие решений, №4, 2021, стр.18-26. DOI: 10.14357/20718594210402.

Employees of the department actively participate in the competition of scientific, practical and innovative grants announced by the Ministry of Innovative Development of Uzbekistan.

Scientific grants made by the staff of the department:

F-4-64 “Creation and justification of methods for calculating generalized estimates and individual metrics of objects in data mining.” Scientific supervisor Professor N.A. Ignatiev. (2013-2017);

OT-Atex-2018-224 – ” Development of an information model for predicting the development, course and outcome of ulcerative colitis and colorectal cancer, optimizing diagnosis and treatment, taking into account the etiopathogenesis and risk factors” Scientific adviser professor Ignatiev N.A. (2018-2020);

A-OTM-2020-2 “Development of intelligent systems for the prediction and diagnosis of pulmonary aspergillosis in patients with tuberculosis and bronchial asthma”. Scientific adviser professor Ignatiev N.A. (2020-2021).

The scientific results of the department staff are reflected in the following monographs:

• Игнатьев Н.А. Обобщенные оценки и локалные метрики объектов в интеллектуалном анализе данных. Монография. – Ташкент: Издательство «Университет», 2014.
• Мадрахимов Ш.Ф., Хуррамов А.Х. Умумлашган коърсаткичлар ва улардан билимларни шакллантиришда фойдаланиш. Монография, Қарши: Қарши давлат университети, 2014.
• Игнатев Н. А. Интеллектуалный анализ данных и гипотеза о компактности классов. Меры компактности, критерии оценок. Палмариум Аcадемиc Публишинг, Саарбрюккен, 2016.
• Мадрахимов Ш.Ф. Системы обнаружения скрытых  закономерностей на базе методов вычисления обобщенных оценок. Монография // Ташкент, «МУМТОЗ СЎЗ» 2021.
• Марахимов А.Р., Худайбергенов К.К. Структурно-параметрический синтез нейросетевых моделей для задач интеллектуалного анализа данных и распознавания образов. // Монография. – Ташкент: «МУМТОЗ СЎЗ» 2021.

International cooperation

The department cooperates with our country and foreign scientific and educational organizations on educational-methodical, scientific and personnel mobility.

Foreign higher education institutions:

International grant “Informatics-additional specialization” 544319-TEMPUS-1-2013-1-FRTEMPUS-JPCR PROMIS of the European Union. Preparation of normative, educational and methodical documents for opening a master’s degree in informatics for non-specialists (2013-2015).
“Erasmus+ Key Action 1 – Mobility for learners and staff – Higher Education student and staff mobility” international project of the European Union. On employee mobility. Coordinator: N.A. Ignatev. (2017-2020)
On the basis of the “KATAMARAN” program of Poland, the necessary regulatory documents, educational subjects for opening the master’s degree “Mobile Application Development – Joint Master Studies in English” at the National University of Uzbekistan with Lublin University of Technology (Professor Marek Milosz) preparation of materials and teaching of 3D scanning of historical monuments and artefacts under the “3D DIGITALSILK ROAD” project (2019-2022);
on conducting lectures at the National University of Uzbekistan with L.N. Gumilov Eurasian National University in Nur-Sultan, Kazakhstan (professor, doctor of technical sciences Sharipboy Altinbek Amirugli);
With the United Arab Emirates University (associate professor, PhD Sherzod Turaev) on conducting lectures at the National University of Uzbekistan.

Organizations in our country:

Tashkent Medical Academy with the Urganch branch on the training of a qualified specialist in information technologies in the medical field;
PhD training on the application of intellectual methods to medical issues with the Central Clinic No. 1 of the General Medical Department of the Presidential Administration of the Republic of Uzbekistan (Doctor of Medical Sciences Rozikhodjaeva G.A.);
with “Kibera Technology” LLC on the training of a specialist with a team programming qualification;
Training of a programmer specialist on seismic stability testing of mechanical processes and structures with the Institute of Seismic Stability of Mechanics and Structures of the UzFA;
with the Karshi State University (Department of “Applied Mathematics”) in the issue of training employees with academic degrees;
Training of teachers in Informatics and mathematics with secondary school 249 of Almazor district of Tashkent city.