Artificial Intelligence

The head of the department:

Azimov Bunyod Rakhimjonovich

Reception hours: Monday-Friday (14:00-16:00)

Connect: (+99871) 207-59-43

E-mail: b.azimov@tuit.uz

Today, artificial intelligence technologies are indispensable in our daily activities, in socio-economic, production, healthcare, education, banking and financial systems, transport, information and public administration. Therefore, it is important to attract specialists and train competitive personnel to introduce artificial intelligence technologies into all sectors and modernize existing information systems based on intelligent solutions.

In accordance with the Resolution of the President of the Republic of Uzbekistan No. PQ-4996 dated February 17, 2021 "On measures to create conditions for the accelerated introduction of artificial intelligence technologies", the Department of "Artificial Intelligence" was established on the basis of the order No. 809 of the Rector of the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi dated August 18, 2021.

A total of 16 professors and teachers work in the department, including 3 professors, 6 associate professors, 3 senior teachers, and 4 assistant teachers. During 2021/2025, Doctor of Technical Sciences, Professor Zaynidinov Hakimjon Nasiridinovich worked as the head of the department. Since August 27, 2025, Doctor of Philosophy in Technical Sciences, Associate Professor Azimov Bunyod Rakhimjonovich has been working as the head of the "Artificial Intelligence" department.

The department team has set an important goal: to train qualified specialists in the field of artificial intelligence, to develop scientific research and educational and methodological work. Today, artificial intelligence is used in almost all areas of our life. Therefore, the department offers programs covering various aspects of this area. Among them are courses such as machine learning, deep learning, computer vision, natural language processing, big data analysis, expert systems and intelligent robotics systems. Each course teaches not only theoretical knowledge, but also its application in real life through practical exercises. Students and professors are actively participating in innovative processes, mastering the latest trends and technologies in the field. This serves to make young people competitive in the modern labor market and increase scientific and practical achievements in artificial intelligence in the country.

The department conducts cutting-edge research in its field. This research is aimed at opening up new areas of application of digital technologies, as well as developing the field. Students and faculty members learn the latest trends and technologies in the field by participating in innovative projects.

The department team consists of teachers with extensive experience in their field. They not only teach students the latest knowledge, but also help them in their personal and professional development.

BACHELOR'S DEGREE

60610700 – Artificial Intelligence 

MASTER'S DEGREE

70610701 – Artificial Intelligence

70611702 – Intelligent information and communication systems

SUBJECTS TEACHED IN THE DEPARTMENT

Bachelor's degree:

• Fundamentals of Artificial Intelligence
• Knowledge base design
• Human-Computer Interface
• IoT: systems and applications
• Big data processing technologies
• Artificial intelligence network technologies
• Artificial intelligence in medicine
• Deep Learning
• Introduction to Machine Learning
• Machine learning
• Reinforcement Learning
• Multiagent systems
• Generative AI
• Data Mining

Master's degree:

• Searching and extracting information
• Designing programs in intelligent systems
• Artificial Intelligence and Neural Networks
• Parallel algorithms in intelligent systems
• Big Data
• Speech signal analysis
• Machine learning
• Image processing and pattern recognition

PROFESSOR-TEACHERS OF THE DEPARTMENT

• Azimov Bunyod Rakhimjonovich - head of the department
• Seungjik Lee – Professor
• Abdusalomov Akmalbek – Associate Professor
• Safarov Furkat Eshpulatovich – Associate Professor
• Muhiddinov Muhriddin Nuriddin oglu – Associate Professor
• Abduganiyev Mukhriddin Mukhriddin oglu – Associate Professor
• Azimova Umida Asrolovna – senior teacher
• Uzakova Ma'mura Abdurayimovna – senior lecturer (PhD)
• Qobilov Sirojiddin Sherqulovich – senior lecturer (PhD)
• Tojiboyev Bobomurod Mamitjonovich – senior lecturer (PhD)
• Boytemirov Asror Muhammaddu'stovich – senior teacher
• Ma'mirov Khudoyberdi Khomidjonovich – senior teacher
• Muminov Elyor Normudovich – assistant
• Sharifbayev Abdurakhmon Nasir oglu – assistant
• Dadajonova Zilola Botirjon kizi – assistant

Doctoral students of the department

• Akhmadaliyev Babur Batirjon oglu
• Latipov Jahongir Tajidin oglu
• Abdurakhimov Dostonbek Rustamjon oglu

Scientific work carried out at the department

• Project name: Development of theory and algorithms for digital processing of biomedical signals and medical images based on artificial intelligence methods
• Project type: Foundational project
• Allocated funds : 2.1 billion soums
• Project name: New smart materials in creation artificial intelligence , BigData and processes modeling research to grow
• Project type: Foundational project
• Allocated funds : 4.3 billion soums
• Project name: Infectious diseases hospital for create a smart robot
• Project type: Practical project
• Allocated funds : 1.5 billion soums
• Project name: Development of algorithms and software for digital processing of medical images and object recognition
• Project type: Practical project
• Allocated funds : 1.8 billion soums
• Project name: New master's degree and training course programs in the field of medical engineering in Uzbekistan ( UzMedEn )
• Project type: Erasmus+
• Allocated funds : 47.9 thousand Euros

Scientific works included in the SCOPUS and Web of Science databases

1. Hakimjon Zaynidinov , Fakhriddin Madolimov, Asilbek Medatov, Elmira Nazirova, Uktam Azimov, Shakhnoza Turakhonova, Jahongir Azimjonov. Optimizing Artificial Intelligence-aided Breast Cancer Models: An Empirical Analysis of Binary Classifiers and Regression-based Feature Selectors . Engineering Applications of Artificial Intelligence Vol.147, 110318, 1 May 2025. https://doi.org/10.1016/j.engappai.2025.110318
2. Zay inidinov , HN, Sharifbaev, AN, Kovalev, IV Increasing the Effectiveness of Personalized Recommender Systems Based on the Integrated GNN-RL Model . Journal of Machinery Manufacture and Reliability. 53, 980–986 (2024). https://doi.org/10.1134/S1052618824700845
3. H. Zaynidinov , A. Sharifbaev, M. Mozikov and I. Makarov . Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems . IEEE Access, vol. 12, pp. 189439-189448, 2024 .

4. Khakimjon Zaynidinov, Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrahimbek Yusupov, Bakhtior Makhkamov. Leveraging Big Data and AI: A Comprehensive Approach to Improving IoT, Data Mining, and Analytics for Healthcare, Finance, and Urban Planning. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s):368 – 373. https://ieeexplore.ieee.org/document/ 10957073
5. Azimov Bunyod Rakhimjonovich, Jamoliddinov Dilshodbek Khabibulloog'li, Bahramov Ikhtiyorjon Bakhtiyorog'li, Danish Ather, Ibragimov Sanjar Salijanovich, Ahmadaliyev Boburjon Botirjon-o'g'li. SONAR Signal Classification Using Logistic Regression. Submission. 14th IEEE Scopus Indexed International Conference on System Modelling & Advancement on Research Trends (SMART-2025) which is going to be held on November 14th - 15th, 2024. https://www.smart2025.tmu.ac.in/
6. Sonal Pathak, Temurbek Kuchkorov, Ibrahimbek Yusupov, Bakhtior Makhkamov, Khakimjon Zaynidinov, Danish Ather. Urban Air Quality and Health Impact Analysis Based on Machine Learning Models. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s):357 – 362. https:// ieeexplore.ieee.org/document/10957146
7. Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrahimbek Yusupov, Bakhtior Makhkamov, Khakimjon Zaynidinov. A Comparative Analysis of Routing Protocols: Enhancing Energy Efficiency and Security in Wireless Networks. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s):363 – 367. https:// ieeexplore.ieee.org/document/ 10957058
8. Bakhtior Makhkamov, Khakimjon Zaynidinov, Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrahimbek Yusupov. Predicting Multiple Diseases Using Machine Learning: A Symptom-Based Model for Medical Diagnosis. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s):374 – 378. https:// ieeexplore.ieee.org/document/ 10956787
9. Ibrahimbek Yusupov, Bakhtior Makhkamov, Khakimjon Zaynidinov, Danish Ather, Sonal Pathak, Temurbek Kuchkorov. Analysis of Factors Affecting Student Performance Using Machine Learning Techniques. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s):379 – 383. https:// ieeexplore.ieee.org/document/ 10956817
10. Temurbek Kuchkorov, Ibrahimbek Yusupov, Bakhtior Makhkamov, Khakimjon Zaynidinov, Danish Ather. Sonal Pathak Machine Learning-based Price Prediction and Analysis of Laptop Specifications. Proceedings International Conference on Information Science and Communications Technologies - Applications, Trends and Opportunities (07th – 08th Nov. 2024) ICISCT – 2024 (IEEE Conference ID: 64202), at Kookmin University, Republic of Korea, Page(s): 352 – 357. https://ieeexplore.ieee.org/document/10957051
11. Zaynidinov Khakimjon, Boytemirov Asror, Karshiyev Odash, Yuldashev Nazarbek, Yakubov Murodjon. Porosity and Permeability Prediction of Oil and Gas Reservoirs Using Artificial Neural Networks and Support Vector Machines. IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE). 15-17 November 2024. https://www.researchgate.net/publication/387418410_Porosity_and_Permeability_Prediction_of_Oil_and_Gas_Reservoirs_Using_Artificial_Neural_Networks_and_Support_Vector_Machines
12. Hakimjon Zaynidinov, Muhammadali G'ofurjonov, Latif Khurramov, Yuriy Pisetsky, G'ayrat Tojiboyev. Digital biomedical image processing using advanced digital hybrid filters. International Conference on Computational Intelligence and Information Retrieval (CIIR 2025). April 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
13. Hakimjon Zaynidinov, Mamirov Khudoyberdi, Jorayev Umidjon, Yusupov Ibrohimbek, Ibragimov Sanjarbek, Boytemirov Asror. Dual-Wavelet Based Features Extraction for Detecting Cardiac Arrhythmia from ECG Signals. International Conference on Computational Intelligence and Information Retrieval (CIIR 2025). April 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
14. Hakimjon Zaynidinov, Damira Hodjayeva, Latif Khurramov, Muhammadali Gofurjanov. Advanced Signal Processing Models in Smart Home System. International Conference on Computational Intelligence and Information Retrieval (CIIR 2025). April 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
15. Hakimjon Zayniddinov, Abdurakhmon Sharifbaev, Bunyod Azimov Using GNN for predicting cascading failures in power supply systems at power IV INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE "ACTUAL ISSUES OF POWER SUPPLY SYSTEMS": ICAIPSS2024 3–4 October 2024 Tashkent, Uzbekistan. AIP Conference Proceedings 3331, 040062(2025) https://doi.org/10.1063/5.0306805
16. MR Gofurjonov., IAXurramov., Yuri Pisetsky Using a Combination of Otsu Segmentation, Cubic Spline, and Gaussian Filter in Ultrasonography Image Processing for Gallbladder Stone Identification 2025 International Russian Automation Conference (RusAutoCon) DOI: 10.1109/RusAutoCon65989.2025. 7-13 Sept. 2025 https://ieeexplore.ieee.org/document/11177417
17. MR Gofurjonov Digital Biomedical Image Processing Using Advanced Digital Hybrid Filters Proceedings of International Conference on Computational Intelligence and Information Retrieval (ICCIIR 2025). Conference paper First Online: 02 January 2026 pp 265–276 https://link.springer.com/chapter/10.1007/978-3-032-02790-0_19
18. Rashid Nasimov, Kudratjon Zohirov, Adilbek Dauletov 3, Akmalbek Abdusalomov From Pixels to Precision—A Dual-Stream Deep Network for Pathological Nuclei Segmentation Bioengineering 2025, 12, 868. https://doi.org/10.3390/bioengineering12080868
19. Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Otabek Ismailov, Djamshid Sultanov, Rashid Nasimov, Young Im Cho Lightweight early detection of knee osteoarthritis in athletes Scientific Reports 15, 31413 (2025). https://doi.org/10.1038/s41598-025-04095-0
20. Safarov Furkat Eshpulatovich; Mukhiddin Toshpulatov; Misirov Komoliddin Mamasabirovich; Akmalbek Abdusalomov; Azizbek Khojamurotov; Wookey Lee Hyperspectral Anomaly Detection with Enhanced Spectral Graph Transformer Network IEEE Access, vol. 13, pp. 170554-170576, 2025, doi: 10.1109/ACCESS.2025.3607472
21. Akmalbek Abdusalomov, Sabina Umirzakova, Obidjon Bekmirzaev, Adilbek Dauletov, Abror Buriboev, Alpamis Kutlimuratov, Akhram Nishanov, Rashid Nasimov, Ryumduck Oh From Anatomy to Genomics Using a Multi-Task Deep Learning Approach for Comprehensive Glioma Profiling Bioengineering 2025, 12, 979. https://doi.org/10.3390/bioengineering12090979
22. Rashid Nasimov, Akmalbek Abdusalomov, Charos Khidirova, Khosiyat Temirova, Alpamis Kutlimuratov, Shakhnoza Sadikova, Wonjun Jeong, Hyoungsun Choi, Taeg Keun Whangbo A Generative Expert-Narrated Simplification Model for Enhancing Health Literacy Among the Older Population Bioengineering 2025, 12, 1066. https://doi.org/10.3390/bioengineering12101066
23. Rashid Nasimov, Akmalbek Abdusalomov, Charos Khidirova, Khosiyat Temirova, Alpamis Kutlimuratov, Shakhnoza Sadikova, Wonjun Jeong, Hyoungsun Choi, Taeg Keun Whangbo PatientEase—Domain-Aware RAG for Rehabilitation Instruction Simplification Bioengineering 2025, 12, 1066. https://doi.org/10.3390/bioengineering12101066
24. Zohirov K, Makhmudjanov S, Roziboev F, Berdiev G', Temirov M, Sherboboeva G, Achilova F, Pardaeva G, Boyqobilov S EMG-Based Recognition of Lower Limb Movements in Athletes A Comparative of Classification Techniques Signals 2025, 6, 45 https://doi.org/10.3390/signals6030045

ARTICLES IN SCIENTIFIC JOURNALS RECOGNIZED BY THE REPUBLICAN HAC

1. Azimov Bunyod, Akhmadaliyev Boburjon . The importance of student image recognition programs in education management Bulletin of TUIT: Management and Communication Technologies. No. 3s(38)2024
2. HN Zaynidinov, AM Boytemirov. Prediction of porosity and permeability of oil and gas reservoirs using artificial neural networks and support vector machines. Fergana Polytechnic Institute. Scientific and Technical Journal. 2025. Vol. 28. No. 6 .
3. Abdug'aniyev Muhriddin Muhiddin o'g'li . Evaluation of the accuracy of cubic spline functions using analytical functions . Universal International Scientific Journal. Issue: 2. Volume: 4, . 04.2025
4. Zaynidinov HN, Mamirov XX, Azimov BR, Boytemirov AM Design an optimal wearable ECG device for monitoring heart activity. Bulletin of TUIT: Management and Communication Technologies. No. 3(24)2024
5. Abduganiev, R. Azimov, and L. Muydinov, Digital Processing Algorithms of Biomedical Signals Using Cubic Base Splines, vol. 13741 LNCS. 2023. doi: 10.1007/978-3-031-27199-1_3.
6. Abduganiyev Mukhriddin . Analysis of accuracy using local spline functions analytical functions Bulletin of TUIT: Management and Communication Technologies. ISSN:2181-1083. No. 4(32)2024
7. Nurmurodov Javohir Nurmurod o'gli, Dadajonova Zilola Botirjon qizi. Classification of deposits with underground resources using artificial intelligence technologies . Electronic scientific journal "Al-Farg'oniy avlodlari"ISSN 2181-4252. Volume: 1 | Issue: 2 | 2025
8. ZB Dadajonova, BD Abdullaev, N. Zaynidinov, BB Akbaraliev, Nasibov BR Intellectual processing of hydrogeological data (using the example of groundwater) British Journal of Global Ecology and Sustainable Development . Volume-32, September-2024 . ISSN (E): 2754-9291
9. BDAbdullayev, BRNasibov, Bm.D.Abdullayev, ZBDadajonova, BBDadajonov. Monitoring of changes in groundwater quality in irrigated lands of Kashkadarya region. Bulletin of the University of Geological Sciences. № 2, 2024
10. Zaynidinov HN , Mamirov XX Yusupov I, Boytemirov AM . "An optimal algorithm for monitoring heart activity based on IoT and cloud technologies". Descendants of Muhammad al-Khwarizmi. ISSN-2181-9211.1(31)/2025
11. Seungjik Lee , Mamirov XX , Usmanov JT . Greenhouse monitoring and control system based on IoT and cloud technologies Science shine international scientific journal. Issue 8(43), Volume 1 | ISSN 3030-377X | 30.04.2025
12. Mamirov XX, Usmanov JT . “Analysis and optimization of sensor-microcontroller integration for intelligent environmental control in smart greenhouses” International scientific journal . "Interpretation and researches". Volume 1 issue 6 (52) | ISSN: 2181-4163 | Impact Factor: 8.2
13. Seungjik Lee . IoT practical trainingScience and innovation international scientific journal. volume 4 issue isn: 2181-3337 05.05.2025
14. Musayev MM, Ochilov MM, Kholmatov OA, Narzullayev OO Development of a question-answer system based on a vector space model and sentence similarity measures Scientific Journal of Digital Transformation and Artificial Intelligence Volume 3, Issue 1, February 2025. -P. 23-30
15. HN Zayniddinov A.N. Sharifbayev . Application of graph neural networks and ego modification with training and reinforcement and system recommendations . "Descendants of Al-Farghani" electronic scientific journal of the Ferghana branch of TATU named after Muhammad al-Khorazmi ISSN 2181-4252 Volume: 1 | Number: 3 | 05. 2024 B. 26-29
16. Qobilov S.S.H. Tillaboev AA Muminov EN Construction of quadrature formulas based on higher-order splines and their comparative analysis in specific examples. Theoretical aspects in the formation of pedagogical sciences
17. Kuchkarov M Algorithm for digital processing of seismic signals in distributed systems Bulletin of TUIT: Management and Communication Technologies. 2024 3(26)
18. Kuchkarov , M Zaynidinov HN, Qabilov S.Sh. Modeling of Hydrogeological Areas Using a Two-Dimensional Cubic Spline Function of Non-Dependent on Nodes Journal of Industrial Engineering and Research (JIER) ISSN (Print): Applied; ISSN (Online): Applied 14, Issue 1; July 2024; 51-60 © TJPRC Pvt. Ltd.
19. Qabilov Sirojiddin Sherkulovich, Muminov Elyor Normurodovich . Estimating the error of local interpolation spline functions in the class of w1[a1 b1] functions and creating a digital processing model of geophysical signals. The multidisciplinary journal of science and technology. Volume-5, ISSUE-6. 2025. pp. 380-385.
20. Makhmudjanov Sarvar Ulugbekovich, Akbarov Navruz Jahongir oglu, Naimov Akhadjon Tojimirza oglu, Qobilov Sirojiddin Sherqulovich. Algorithm for determining combinations of parents and children during DNA analysis. Electronic scientific journal "Al-Farghaniy Avlodlari" ISSN 2181-4252. Volume: 1. Issue: 2. 2025.
21. Zaynidinov Hakimjon, Bakhramov Sayfiddin, Kobilov Sirojiddin, Kuchkarov Muslimjon. Construction of Higher-Order Spline Functions, Digital Processing And Modeling of Signals, and Their Comparative Analysis. Bulletin of TUIT: Management and Communication Technologies. ISSN:2181-1083 No. 4(37)2024.
22. Zaynidinov HN, Qobilov S.Sh. The importance of spline models in the restoration of hydrogeological data and assessment of their effectiveness. Journal of Engineering and Economics. November 2024. Issue 4. (05.00.00. Resolution of the Presidium of the JSC dated August 28, 2024 No. 360/5)
23. Qobilov Sirojiddin Sherqulovich. Numerical modeling of hydrogeological data provided in Notex network segments using splines independent of nodes. Scientific journal “Development of science”. 2025/5 VOLUME 3. P. 347-357. (05.00.00. Resolution of the Presidium of the OAK dated February 12, 2025 No. 367)
24. V.Mullajonov, S.Sh.Qobilov, A.M.Sobirov. Application of Local Interpolation Cubic Spline Model Built in Unequal Intervals in Digital Processing of Signals. International scientific magazine. "Novosti obrazovania: issledovanie v XXI veke" No. 26(100), issue 2. November, 2024.
25. Sabina Umirzakova, Shakhzod Javliev, Adkhambek Madaminov, Omadjon Urishev, Dilshoda Kurbonalieva, Ayhan Istanbullu Advanced modeling for fire risk evaluation and intelligent preventive systemTransactions on Computational Modeling and Intelligent Systems, 2, 10043. https://doi.org/10.65112/tcmis.10043 International
26. Mukhiddinov MN, Khakimov KS Analysis of a visual question-and-answer (VQA) system based on computer vision and natural language processing approaches. Priority areas for the development of integration of science and education with production in the digital economy, December 19-20, TashkentInternational
27. Mukhiddinov MN, Kurbonov J.Sh. Analysis of models for identifying environmental hazards and obstacles for the blind based on artificial intelligencePriority areas for developing the integration of science and education with production in the digital economy, December 19-20, TashkentInternational
28. Yakubov MS, Yuldashev R., Azimova UA Informatsionnye sistemy upravleniya biznes processami predpriyatii na osnove CASE-technological Development of science Scientific magazine 2025/12 VOLUME -2 number 159-G173 pages Local
29. Seungjik Lee Integrating chatgpt into big data education: a student-centered Teaching framework science and innovation international scientific journal volume 4 issue 12 December 2025 ISSN: 2181-3337 | scientists.uz International
30. Nurmurodov J., Dadajonova ZB Identification and classification of subsoil deposits based on artificial intelligenceScientific-technical journal (STJ FerSTU, FarDTU ITZH, NTJ FerGTU, 2025, Vol. 29. special issue No. 10) September 24-25, 2025, Tashkent, pp. 132-134Local
31. Nurmurodov J., Dadajonova ZB Classification of deposits with underground resources using artificial intelligence technologies“Descendants of Al-Farghani” electronic scientific journal. ISSN 2181-4252. Vol: 1 | Iss: 2 | 2025 year Local
32. Qobilov S. Sh. Evaluation of the continuity of the bicubic spline model independent of nodes. Scientific-technical journal (STJ FerSTU, FarDTU ITJ, NTJ FerGTU, 2025, Vol. 29. special issue No. 8) Local
33. Qabilov S. Sh Evaluation Of The Continuity Of A No-Node Bicubic Spline ModelBulletin of TUIT: Management and Communication Technologies. No. 3s(7)2025 Local
34. Qabilov S. Sh., Abdunabiev AB Design And Optimization Of An Intelligent Recommendation System Based On Data Engineering In The Media EcosystemUniversal International Scientific Journal. Issue: 2. Volume: 11 Published: 02.11.2025., pp-40–44. https://universaljurnal.uz/index.php/jurn al/article/view/3762 International
35. Qabilov S. Sh., Goibnazarov AI, Umurzokov QT Beyond Static Analysis: AI Techniques For Detecting Web Application Security WeaknessesUniversal International Scientific Journal. Issue: 2. Volume: 11 Published: 02.11.2025., pp-70–77. https://universaljurnal.uz/index.php/jurn al/article/view/3770 International
36. Qabilov S. Sh Analysis of local cubic splines and their application in medical signal processingScientific-technical journal (STJ FerSTU, FarDTU ITJ, NTJ FerGTU, 2025, T.29.spets. vypusk №16) Local
37. Qabilov S. Sh., Goibnazarov AI, Umurzokov QT The Role Of Rag In Transforming Legal Information Retrieval And Automated Legal ConsultationUniversal International Scientific Journal. Issue: 2. Volume: 11 Published: 02.11.2025., pp-78–85. https://universaljurnal.uz/index.php/jurn al/article/view/3771   International
38. Azimov B., Kuchkarov M., Sharifbaev A Quantitative benchmarking of embedding architectures for biomedical retrieval-augmented generationDevelopment of engineering fields and economic sectors in the process of digital transformation: problems and solutions International scientific and practical conference. Collection of lectures. Part IInternational
39. Kuchkarov M., Tillaboev A On a new approach to the creation of heuristicDevelopment of engineering industries and economic sectors in the process of digital transformation: problems and solutions International scientific and practical conference. Collection of lectures. Part 1International
40. MR Gofurjonov Restoration of geological signals using cubic basis splines M ENGINEERING AND ECONOMICS: Socio-economic, innovative technical, scientific and practical journal of science and education. National publications: OAK: https//oak.uz/pages/4802. August 2025. No. 8, pp. 204-209. TashkentInternational
41. MR Gofurjonov, AIBurkhanova Comparative analysis architecture Dialogovykh sistem dlya meditsinskoy Predmetnoy oblasti SOCIAL, ECONOMIC, SCIENTIFIC, AND TECHNICAL ACADEMIC JOURNAL. Electronic publication, Issue 11.195 - 202 pages. Approved for publication on November, 2025. International

Textbooks and study guides

1. Mahkamov B.Sh., Zaynidinov XN, Nurmurodov JN “Fundamentals of Artificial Intelligence”, Tashkent University of Information Technologies, Textbook – Tashkent, 2024, 264 p.
2. Zaynidinov XN, Yusupov I., Nurmurodov JN, Abdug'aniyev MM “Computational agents in artificial intelligence”, Tashkent University of Information Technologies, Textbook – Tashkent, 2025, p. 253
3. Zaynidinov XN, Kochkarov MA, Qobilov S.Sh. “Intellectual data processing”, Tashkent University of Information Technologies, Textbook – Tashkent, 2025, p. 120.
4. Zaynidinov XN, Mahmudzhanov SU, Azimova UA “IoT technologies”, – Tashkent University of Information Technologies, Textbook, Tashkent, 2025, 264 p.
5. Azimov BR, Azimova UA, Ma'mirov XX, Sharifbayev AN Methodological instructions for performing practical exercises in the subject "Internet of Things" - Tashkent University of Information Technologies, Tashkent, 2025
6. MAKochqarov, UAAzimova, S.Sh.Qobilov Methodological guidelines for the implementation of an individual project for students of the bachelor's degree program "Artificial Intelligence". - Tashkent: TATU. 2024. - 64 p.
7. Zaynidinov H.N., Azimov B.R., Abdug'aniev M.M., Khuramov L.Ya., Gofurjanov M.R. Methodological instructions for the implementation of the laboratory work course "Mechanism of mechatronic modules and robots" - Tashkent 2025, 72 p .

CERTIFICATES AND PATENTS