Executive summary on the scientific and innovative center of information and communication technologies at the Tashkent University of Information Technologies named after Muhammad al-Khorazmi

Decree of the President of the Republic of Uzbekistan No. DP-2834 of March 15, 2017. The Center for the Development of Software Products and Hardware and Software Complexes at the Tashkent University of Information Technologies was reorganized into the Scientific and Innovation Center for Information and Communication Technologies (hereinafter Center).


The main tasks of the Center

Creation and introduction of new information technologies, high technology software products and hardware-software complexes aimed at the social and economic development of the society
Conducting research on state scientific, technical, applied and innovative programs, as well as their practical implementation
Use of scientific achievements, their generalization and assistance in applying the results obtained to the activities of economic entities (ministries, departments, enterprises, organizations and institutions)
Coordination of fundamental scientific research in information technologies conducted in Uzbekistan, as well as new and promising scientific works of scientific research institutions on the creation of high technology software products
Training highly qualified scientific personnel (doctors of science) and improving the organization of scientific research
Participation in the examination of major scientific, technical, socio-economic and production projects. Participation in the educational process of universities, the organization of training practice for students, their involvement in the work on the creation of software products and the provision of joint work

Currently, the Center participates in the implementation of 16 scientific projects, including 6 fundamental projects, applied research, 8, innovation -1, youth -1. The annual amount of funding for these projects in 2018 is about 2.5 billion soums.

The staff of the Center

  • the total number of employees is 115,
  • number of researchers – 84.

Scientific potential of the Center (57%):

  • the number of employees with a scientific degree of ¬ 48, doctors of sciences – 22 (14
  • basic, 8 joint) including academicians – 2; Candidates of Sciences – 26 (20 – basic, 6 – joint).
  • the average age of researchers is 52 years.

More than 60% of the Center’s researchers participate in the educational processes of various higher educational institutions of the republic.

In addition, the Center implemented the project “Implementation of a comprehensive integrated information system in the enterprises of the industry in the field of computerization of financial accounting and reporting, personnel management, operational and production-technological activities” for JSC “Uzfarmsanoat” with the total volume financing of 165.8 million soums.

In 2018, the Center implements 3 innovative projects, funded from the fund of scientific and innovative development in TUIT, for a total of 578.0 million soums.

The Center employs the Institute of Senior Research Scientists. At present, there are 34 of them (14 – basic, 20 – free researcher), 4 of them in doctoral studies, 10 – in basic doctoral studies. Only for the last 4 years 7 scientists of the Center successfully defended doctoral dissertations and 10 – PhD thesis.

In the Center for the Economy and Social Sphere, two areas are being developed:

  1. Software for mass audience;
  2. Specialized, scientific software.

For the last 4 years more than 60 software products have been developed in this direction, which are registered with the Intellectual Property Agency. Most of these software products were implemented in various ministries, departments, companies and enterprises of the republic.


Information PROJECTS

Software for a mass audience. Specialized and scientific software

List of publications


  1. Hidirova M.B. Solutions of a functional-differential equation for adjustment of human systems // Moscow University Mathematics Bulletin C/C Of Vestnik- Moskovskii Universitet Mathematika; 59; 2004. pp. 36-38.


  1. Hudayberdiev M.X. Gozel Judakova, Gunter Landsmann. New Algorithm of Support Vector Machine by the Bezier Curve. International Conference «Problems of Cybernetics and Informatics» (PCI’2012), Volume III. September 12-14, 2012. – Baku, Azerbaijan. – Pp. 192-193.
  2. Kamilov M.M., Fazilov Sh., Mirzayev N., Radjabov S. Estimates Calculations Algorithms in Condition of Hugo Dimensions of Features’ Space. International Conference «Problems of Cybernetics and Informatics» (PCI’2012), Volume III. September 12-14, 2012. – Baku, Azerbaijan. – Pp. 184-187.
  3. Kamilov M.M., Hudayberdiev M.X., Khamroev A.Sh. Methods of Computing Epsilon Thresholds in the Estimates’ Calculation’s Algorithms. International Conference «Problems of Cybernetics and Informatics» (PCI’2012), Volume III. September 12-14, 2012. – Baku, Azerbaijan. – Pp. 133-135.


  1. Ravshanov N., Kurbonov N., Mukhamadiev A.  An Approximate Analytical Solution of the Problem of Fluid Filtration in the Multilayer Porous Medium // International Journal of Computational Methods. — 2016. — Vol. 13, № 6. — 1650042 [10 pages] DOI: http://dx.doi.org/10.1142/S0219876216500420


  1. Khamroev Alisher. An algorithm for constructing feature relations between the classes in the training set. Procedia Computer Science, Volume 103, 2017, Pages 244-247. http://dx.doi.org/10.1016/j.procs.2017.01.094.


  1. Fazilov Sh., Mirzaev N., Radjabov S., Mirzaev O. Determining of Parameters in the Construction of Recognition Operators in Conditions of Features Correlations // In Proc. of 7th Int. Conf. on Optimization Problems and Their Applications (OPTA 2018), 8-14 July 2018, Omsk, Russia, pp. 118-133.
  2. Mamadaliev Kh., Khujayev I., Boltibaev Sh. Modeling of the propagation of mass consumption waves in the pipeline with damper of pressure disturbances // Ponte. – 2018. – Vol. 74. – No. 8/1. – P. 163-170. – DOI: 10.21506/j.ponte.2018.8.12.
  3. Mirzaev N., Saliev E. Recognition Algorithms Based on Radial Functions // In Proc. of 3d Russian-Pacific Conf. on Computer Technology and Applications, August 18-25, 2018, Vladivostok, Russia.
  4. Muxamediyeva D.K. Properties of self similar solutions of reaction-diffusion systems of quasilinear equations // International Journal of Mechanical and production engineering research and development (IJMPERD) ISSN(P): 2249-6890; ISSN(E): 2249-8001 8, Issue 2, USA. 2018, 555-565 pp. Impact Factor (JCC): 6.8765.
  5. Muxamediyeva D.T. Model of estimation of success of geological exploration perspective // International Journal of Mechanical and production engineering research and development (IJMPERD) ISSN(P): 2249-6890; ISSN(E): 2249-8001 8, Issue 2, USA. 2018, 527-538 pp. Impact Factor (JCC): 6.8765.
  6. Ravshanov N., Muradov F., Akhmedov D. Mathematical software to study the harmful substances diffusion in the atmosphere // Ponte. – 2018. – Vol. 74. – No. 8/1. – P. 171-179. – DOI: 10.21506/j.ponte.2018.8.13.
  7. Ravshanov N., Saidov U.M. Modelling technological process of ion-exchange filtration of fluids in porous media // Journal of Physics: Conference Series. – 2018. – Vol. 1015, No. 3. – P. 032114. – URL: http://stacks.iop.org/1742-6596/1015/i=3/a=032114.
  1. Р.Х.Хамдамов, Э.A.Салиев. Нечеткие алгоритмы анализа изображений. Ташкент: Изд-во «Fan va texnologiya». 2017, 324 с
  2. Р.Х.Хамдамов. Задачи, модели и методы булева программирования. Ташкент: Изд-во «Fan va texnologiya». 2017, 168 с.
  3. Мингликулов З.Б. Суст шаклланган жараёнлар ва объектларни идентификациялаш ва оптималлаштиришнинг норавшан моделлари. Монография. – Т.: “Навруз” нашриёти, 2015. – 132 б.
  4. Хидирова М.Б. Математические модели возбудимых сред. – Tашкент. «Fan va texnologiya». Монография, 2015.  – 180 с.
  5. Абдугафаров А., Алламияров Ф.А. Пул муомаласини тартибга солишни имитацион моделлаштиришни методологик асослари // Молия. -Тошкент. 2016. 136 бет.
  6. Бекмуратов Т.Ф., Мухамедиева Д.Т. Теория, методы и алгоритмы синтеза нейро-нечетких моделей принятия решений при интеллектуальном анализе данных // Издательство «MUXR-PRESS». -Ташкент. 2016. 250 с.
  7. Мухамедиева Д.Т. Мониторинг ҳамда қарор қабул қилишнинг гибрид интеллектуал тизимларини қуриш усул ва алгоритмлари // Издательство «MUXR-PRESS». -Тошкент. 2016. 250 бет.
  8. Мухамедиева Д.Т. Нокоррект масалаларни интеллектуал таҳлил қилиш усул ва алгоритмлари // Издательство «MUXR-PRESS». -Тошкент. 2016. 270 бет.
  9. Мухамедиева Д.Т. Гибридные модели принятия решений при интеллектуальном анализе данных. // Издательство «MUXR-PRESS». -Ташкент. 2016. 250 с.
  10. Равшанов, Н. Процесс переноса и диффузии аэрозольных частиц в атмосфере: методология компьютерного моделирования / Н. Равшанов, Н. Таштемирова. – Saarbrücken : Lambert Academic Publishing, 2016. – 136 c. – ISBN 978-3-330-00279-1.
  11. Хидирова М.Б. Математическое моделирование регуляторики микро-РНК. Концепции, методы, модели // LAP LAMBERT Academic Publishing. – Германия. Монография, 2016. – 133 с.
  12. Кабелов А.В., Норматов И.Х. Алгоритмизация в теории управляющих систем// Монография: Ташкент-2017, Изд. “Навруз” С.176.
  13. Камилов М.М. Избранные труды. – Т.: Изд-во: РПП и АПК, 2016. -172 с.
  14. Нишанов А.Х., Худайбердиев М.Х. Масофадан ўқитиш тизимларида тимсолларни аниқлашнинг адаптив моделлари. Монография. – Тошкент, “Мухаммад-полиграф”, 2017. – 130 б.
  15. Мухамедиева Д. Т. Муқобиллаштириш ҳамда башорат қилишнинг гибрид интеллектуал тизимларини қуриш усул ва алгоритмлари.– Тошкент; «Навруз» нашриёти, 2017. 250 бет.
  16. Muhamediyeva D.T. Noravshan joriy axborot asosida sust shakllangan jarayonlarni modellashtirishning xususiyatlari va tamoyillari . – Toshkent; «Navruz» nashriyoti, 2017.300 bet.
  17. Мухамедиева Д.Т. Построение гибридных систем мониторинга и принятия решений. Издательство «Palmarium Academic Publishing». AV Akademikerverlag GmbH&Co.KG Heinrich-Böcking-Str. 6-8, 66121 Saarbrucken, Germany. 2017. 317 с.
  18. Мухамедиева Д.Т. Интеллектуальный анализ нечеткого решения некорректных задач Издательство «Palmarium Academic Publishing». AV Akademikerverlag GmbH&Co.KG Heinrich-Böcking-Str. 6-8, 66121 Saarbrucken, Germany. 327 с.
  19. Онорбоев Б.О. Машинасозликда мураккаб технологик тизимларни бошқаришнинг самарали усуллари. Тошкент: «Fan va texnologiya» нашрёти, 2017, 163 бет.
  20. Примова Х.А. Норавшан ахборотлар ҳолатида коррект бўлмаган масалаларни ечишни моделлаштириш ва алгоритмик таъминлаш // Издательство «Навруз». -Тошкент. 2017. 100 бет.
  21. Равшанов, Н. Математическое моделирование процесса распространения загрязняющих веществ в атмосфере / Н. Равшанов ; НИЦ ИКТ. – Ташкент : MUXR-PRESS, 2017. – 224 с.
  22. Фазылов Ш.Х., Нишанов А.Х., Маматов Н.С. Методы и алгоритмы выбора информативных признаков на основе эвристических критериев информативности. – Т.: «Fan va texnologiya», 2017. – 127 с.
  23. Кабулов В.К., Кабулов А.В., Норматов И.Х. Логические методы алгоритмизации в теории управляющих систем//Монография: Германия-2018, С.191.
  24. Сайдалиева М. Моделирование регуляторных механизмов клеточных сообществ многоклеточных организмов //Математическое моделирование. Изд-во Наука. – Москва. – №10. – С. 67-80.
  1. Учебное пособие «Математические методы и модели исследования операций», Изд. Навруз, Ташкент – 2018, С.172.
  2. М.Б. Хидирова, Биологик информацион технологиялар. – Тошкент. “Наврўз” нашриёти, 2017. – 72 б.