Muhammad al-Xorazmiy nomidagi Toshkent Axborot Texnologiyalari Universiteti

Sun’iy intellekt

Kafedra mudiri: 

Azimov Bunyod Raximjonovich

Qabul vaqti: Dushanba-Juma (14:00-16:00)
Telefon: (+99871) 207-59-43
E-mail: b.azimov@tuit.uz

Bugungi kunda sun’iy intellekt texnologiyalari kundalik hayotimiz hamda ijtimoiy-iqtisodiy sohalar, ishlab chiqarish, sog‘liqni saqlash, ta’lim, bank-moliya tizimi, transport, axborot va davlat boshqaruvi kabi yo‘nalishlarda ajralmas vositaga aylanib bormoqda. Shuning uchun sun’iy intellekt texnologiyalarini barcha sohalarga joriy etish va mavjud axborot tizimlarini intellektual yechimlar asosida modernizatsiya qilishda mutaxassislarni jalb etish hamda raqobatbardosh kadrlar tayyorlash muhim hisoblanadi.

O‘zbekiston Respublikasi Prezidentining 2021-yil 17-fevraldagi “Sun’iy intellekt texnologiyalarini jadal joriy etish uchun shart-sharoitlar yaratish chora-tadbirlari to‘g‘risida”gi PQ-4996-son qaroriga asosan “Sun’iy intellekt” kafedrasi Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti rektorining 2021-yil 18-avgustdagi 809-sonli buyrug‘i asosida tashkil etilgan.

Kafedrada jami 18 ta professor o‘qituvchi, jumladan 2 ta professor, 8 ta dotsent, 3 ta katta o‘qituvchi, 5 ta assistent o‘qituvchilar faoliyat olib boradi. 2021/2025-yillar davomida texnika fanlari doktori, professor Zaynidinov Hakimjon Nasiridinovich kafedra mudiri lavozimida faoliyat olib borgan. 2025-yil 2-sentabrdan texnika fanlari falsafa doktori, dotsent Azimov Bunyod Raximjonovich “Sun’iy intellekt” kafedrasi mudiri lavozimida faoliyat olib bormoqda.

Kafedra jamoasi oldiga muhim maqsadlar qo‘yilgan: sun’iy intellekt sohasida yetuk mutaxassislarni tayyorlash, ilmiy-tadqiqot va o‘quv-uslubiy ishlarni rivojlantirish. Bugun kafedrada dunyoning Top 300 taligiga kiruvchi universitetlarning o‘quv dasturlari asosida talabalarni o‘qitishni yo‘lga qo‘ygan. Ular orasida sun’iy intellekt asoslari, mashinali o‘qitish, chuqur o‘qitish, kompyuter ko‘rish, tabiiy tilni qayta ishlash, katta hajmli ma’lumotlarni tahlil qilish, ekspert tizimlar va intellektual robototexnik tizimlar kabi fanlar mavjud. Shuningdek talabalar va professor-o‘qituvchilar innovatsion jarayonlarda faol ishtirok etib, sohadagi eng yangi tendensiyalar va texnologiyalarni o‘zlashtirmoqda. Bu esa yoshlarni zamonaviy mehnat bozorida raqobatbardosh qilishga va mamlakatda sun’iy intellekt bo‘yicha ilmiy hamda amaliy yutuqlarni ko‘paytirishga xizmat qilmoqda.

Kafedra o‘z sohasida ilg‘or tadqiqotlar olib boradi. Bu tadqiqotlar raqamli texnologiyalarning yangi qo‘llanilish sohalarini ochishga, shuningdek, sohani rivojlantirishga qaratilgan. Talabalar va professor-o‘qituvchilar, innovatsion loyihalarda ishtirok etish orqali sohadagi eng yangi tendensiyalar va texnologiyalarni o‘rganishadi.

Kafedra jamoasi, o‘z sohasida katta tajribaga ega bo‘lgan o‘qituvchilardan iborat. Ular talabalarga eng yangi bilimlarni o‘rgatish bilan birga, ularning shaxsiy va kasbiy rivojlanishlarida ham yordam beradi.



Bugungi kunda sun’iy intellekt texnologiyalari kundalik faoliyatimizda, ijtimoiy-iqtisodiy, ishlab chiqarish, sog‘liq saqlash, ta’lim, bank va moliya tizimi, transport, axborot va davlat boshqaruvida ularsiz tasavvur qilib bo‘lmaydi. Shuning uchun sun’iy intellekt texnologiyalarini barcha sohalarga joriy etish va mavjud axborot tizimlarini intellektual yechimlar asosida modernizatsiya qilishda mutaxassislarni jalb etish hamda raqobatbardosh kadrlar tayyorlash muhim hisoblanadi.

O‘zbekiston Respublikasi Prezidentining 2021-yil 17-fevraldagi “Sun’iy intellekt texnologiyalarini jadal joriy etish uchun shart-sharoitlar yaratish chora-tadbirlari to‘g‘risida”gi PQ-4996-son qaroriga asosan “Sun’iy intellekt” kafedrasi Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti rektorining 2021-yil 18-avgustdagi 809-sonli buyrug‘i asosida tashkil etilgan.

Kafedrada jami 16 ta professor o‘qituvchi, jumladan 3 ta professor, 6 ta dotsent, 3 ta katta o‘qituvchi, 4 ta assistent o‘qituvchilar faoliyat olib boradi. 2021/2025-yillar davomida texnika fanlari doktori, professor Zaynidinov Hakimjon Nasiridinovich kafedra mudiri lavozimida faoliyat olib borgan. 2025-yil 27-avgustdan texnika fanlari falsafa doktori, dotsent Azimov Bunyod Raximjonovich “Sun’iy intellekt” kafedrasi mudiri lavozimida faoliyat olib bormoqda.

Kafedra jamoasi oldiga muhim maqsad qo‘yilgan: sun’iy intellekt sohasida yetuk mutaxassislarni tayyorlash, ilmiy-tadqiqot va o‘quv-uslubiy ishlarni rivojlantirish. Bugun sun’iy intellekt hayotimizning deyarli barcha sohalarida qo‘llanilmoqda. Shu bois kafedra ushbu yo‘nalishning turli jabhalarini qamrab oluvchi dasturlarni taklif etadi.Ular orasida mashinali o‘qitish, chuqur o‘qitish, kompyuterni ko‘rish, tabiiy tilni qayta ishlash, katta hajmli ma’lumotlarni tahlil qilish, ekspert tizimlar va intellektual robototexnik tizimlar kabi kurslar mavjud. Har bir kurs nafaqat nazariy bilimlarni, balki amaliy mashg‘ulotlar orqali real hayotdagi qo‘llanilishini ham o‘rgatadi. Talabalar va professor-o‘qituvchilar innovatsion jarayonlarda faol ishtirok etib, sohadagi eng yangi tendensiyalar va texnologiyalarni o‘zlashtirmoqda. Bu esa yoshlarni zamonaviy mehnat bozorida raqobatbardosh qilishga va mamlakatda sun’iy intellekt bo‘yicha ilmiy hamda amaliy yutuqlarni ko‘paytirishga xizmat qilmoqda.

Kafedra o‘z sohasida ilg‘or tadqiqotlar olib boradi. Bu tadqiqotlar raqamli texnologiyalarning yangi qo‘llanilish sohalarini ochishga, shuningdek, sohani rivojlantirishga qaratilgan. Talabalar va professor-o‘qituvchilar, innovatsion loyihalarda ishtirok etish orqali sohadagi eng yangi tendensiyalar va texnologiyalarni o‘rganishadi.

 

Kafedra jamoasi, o‘z sohasida katta tajribaga ega bo‘lgan o‘qituvchilardan iborat. Ular talabalarga eng yangi bilimlarni o‘rgatish bilan birga, ularning shaxsiy va kasbiy rivojlanishlarida ham yordam beradi.

BAKALAVRIAT

60610700 – Sun’iy intellekt 

MAGISTRATURA

70610701 – Sun’iy intellekt

70611702 – Intellektual axborot-kommunikatsiya tizimlari

 

KAFEDRADA O‘QITILADIGAN FANLAR

Bakalavriat:

  • Sun’iy intellekt asoslari
  • Bilimlar bazasini loyihalash
  • Inson kompyuter interfeysi (Human-Computer Interface)
  • IoT: tizimlar va ilovalar
  • Katta ma’lumotlarni qayta ishlash texnologiyalari
  • Sun’iy intellekning tarmoq texnologiyalari
  • Tibbiyotda sun’iy intellekt
  • Chuqur o‘qitish (Deep Learning)
  • Mashinali o‘qitishga kirish
  • Machine learning
  • O‘rganishni mustahkamlash (Reinforcement Learning)
  • Multiagent tizimlar
  • Generative AI
  • Ma’lumotlarni intellektual tahlil qilish (Data Mining)

Magistratura:

  • Axborotlarni izlash va ajratib olish
  • Intеllеktual tizimlarda dasturlarni loyihalash
  • Sun’iy intellekt va neyron tarmoqlari
  • Intellektual tizimlarda parallel algoritmlar
  • BigData
  • Nutq signallari tahlili
  • Machine learning
  • Tasvirlarga ishlov berish va timsollarni tanib olish

KAFEDRA PROFESSOR-O‘QITUVCHILARI

  • Azimov Bunyod Raximjonovich - kafеdra mudiri
  • Seungjik Lee – professor
  • Abdusalomov Akmalbek – v.b. professor
  • Safarov Furqat Eshpulatovich – dotsent
  • Muxiddinov Muhriddin Nuriddin o‘g‘li  – dotsent
  • Abdug‘aniyev Muxriddin Muxiddin o‘g‘li – dotsent
  • Azimova Umida Asrolovna – katta o‘qituvchi
  • Uzakova Ma’mura Abdurayimovna – katta o‘qituvchi (PhD)
  • Qobilov Sirojiddin Sherqulovich – katta o‘qituvchi (PhD)
  • Tojiboyev Bobomurod Mamitjonovich  – katta o‘qituvchi (PhD)
  • Boytemirov Asror Muhammaddo‘stovich  – katta o‘qituvchi
  • Ma’mirov Xudoyberdi Xomidjonovich – katta o‘qituvchi
  • Mo‘minov Elyor Normudovich – assistеnt
  • Sharifbayev Abduraxmon Nosir o‘g‘li – assistеnt
  • Dadajonova Zilola Botirjon qizi – assistеnt

Kafedra doktorantlari

  • Ahmadaliyev Bobur Botirjon o‘g‘li
  • Latipov Jahongir Tojidin o‘g‘li
  • Abduraximov Dostonbek Rustamjon o‘g‘li
 

 

Kafedrada olib borilayotgan ilmiy ishlar

  • Loyiha nomi: Sun’iy intellekt usullari asosida biotibbiyot signallar va tibbiy tasvirlarga raqamli ishlov berish nazariyasi va algoritmlarini rivojlantirish
  • Loyiha turi: Fundomental loyiha       
  • Ajratilgan mablagʻ:  2,1 mlrd soʻm
  • Loyiha nomi: Yangi aqlli materiallarni yaratishda sun’iy intellekt, BigData va jarayonlarni modellashtirishning tadqiq etish
  • Loyiha turi: Fundomental loyiha       
  • Ajratilgan mablagʻ:  4,3 mlrd soʻm
  • Loyiha nomi: Yuqumli kasalliklar shifoxonasi uchun aqlli robot yaratish
  • Loyiha turi: Amaliy loyiha       
  • Ajratilgan mablagʻ:  1,5 mlrd soʻm
  • Loyiha nomi: Tibbiy tasvirlarga raqamli ishlov berish va obyektlarni tanib olish algoritmlari va dasturiy majmuasini ishlab chiqish
  • Loyiha turi: Amaliy loyiha       
  • Ajratilgan mablagʻ:  1,8 mlrd soʻm
  • Loyiha nomi: New master’s degree and training course programs in the field of medical engineering in Uzbekistan (UzMedEn)
  • Loyiha turi: Erasmus+
  • Ajratilgan mablagʻ:  47.9 ming Euro

SCOPUS va Web of science bazasiga kirgan ilmiy ishlar

  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. Zayinidinov, H.N., Sharifbaev, A.N., Kovalev, I.V. 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.
  1. Khakimjon Zaynidinov, Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrohimbek Yusupov, Bakhtiyor 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
  2. Azimov Bunyod Rakhimjonovich, Jamoliddinov Dilshodbek Xabibulloog‘li, Bahramov Ixtiyorjon Baxtiyorog‘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/
  3. Sonal Pathak, Temurbek Kuchkorov, Ibrohimbek Yusupov, Bakhtiyor 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
  4. Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrohimbek Yusupov, Bakhtiyor 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
  5. Bakhtiyor Makhkamov, Khakimjon Zaynidinov, Danish Ather, Sonal Pathak, Temurbek Kuchkorov, Ibrohimbek 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
  6. Ibrohimbek Yusupov, Bakhtiyor 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
  7. Temurbek Kuchkorov, Ibrohimbek Yusupov, Bakhtiyor 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
  8. Zaynidinov Khakimjon, Boytemirov Asror, Qarshiyev Odash, Yuldashev Nazarbek., Yoqubov 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
  9. Hakimjon Zaynidinov, Muhammadali G‘ofurjonov, Latif Xurramov, Yuriy Pisetskiy, G‘ayrat Tojiboyev. Digital biomedical image processing using advanced digital hybrid filters. International Conference on Computational Intelligence and Information Retrieval (CIIR 2025). Aprel 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
  10. Hakimjon Zaynidinov, Mamirov Xudoyberdi, Jo‘rayev 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). Aprel 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
  11. Hakimjon Zaynidinov,Damira Hodjayeva,Latif Xurramov,Muhammadali G‘ofurjonov. Advanced Signal Processing Models in Smart Home System. International Conference on Computational Intelligence and Information Retrieval (CIIR 2025). Aprel 2025. https://drive.google.com/drive/folders/1vwnH431vq_7ww-zMtyB15rzOuX6bORQ5
  12. 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 Proceedindings 3331, 040062(2025) https://doi.org/10.1063/5.0306805
  13. R Gofurjonov., I.A.Xurramov., Yuriy Pisetskiy 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
  14. R 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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

 

RЕSPUBLIKA MIQIYOSIDAGI OAK E’TIROF ETILGAN ILMIY JURNALLARDAGI MAQOLALAR

  1. Azimov Bunyod, Ahmadaliyev Boburjon. The importance of student image recognition programs in education management Bulletin of TUIT: Management and Communication Technologies.№ 3s(38)2024
  2. N. Zaynidinov, A.M. Boytemirov. Sun’iy neyron tarmoq va support vektor mashinalari yordamida neft va gaz qatlamlarining gʻovakligi va oʻtkazuvchanligini bashorat qilish. Farg‘ona politexnika instituti. Ilmiy texnika jurnali. 2025. Tom 28. № 6.
  3. Abdug‘aniyev Muxriddin Muxiddin o‘g‘li. Kubik splayn funksiyalarini analitik funksiyalar yordamida aniqligini baholash. Universal International Scientific Journal. Issue: 2. Volume: 4,. 04.2025
  4. Zaynidinоv H.N, Mamirov X.X, Azimov B.R, Boytemirov A.M. Design an optimal wearable ECG device for monitoring heart activity. Bulletin of TUIT: Management and Communication Technologies. № 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 of local spline functions using analytic functions Bulletin of TUIT: Management and Communication Technologies. ISSN:2181-1083. № 4(32)2024
  7. Nurmurodov Javohir Nurmurod o‘g‘li, Dadajonova Zilola Botirjon qizi. Sun’iy intellekt texnologiyalaridan foydalangan holda yer osti boyliklari joylashgan konlarni tasniflash. “Al-Farg‘oniy avlodlari” elektron ilmiy jurnaliISSN 2181-4252. Tom: 1 | Son: 2 | 2025-yil
  8. B. Dadajonova, B. D. Abdullaev, Kh. N. Zaynidinov, B. B. Akbaraliev, Nasibov B. R. 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. D.Abdullayev, B.R.Nasibov, Bm.D.Abdullayev, Z.B.Dadajonova, B.B.Dadajonov. Qashqadaryo viloyatining sug‘oriladigan yerlarida yer osti suvlari sifatining o‘zgarishi monitoringi. Bulletin of the University of Geological Sciences. № 2, 2024
  10. Zaynidinоv H.N, Mamirov X.X Yusupov I, Boytemirov A.M. “An optimal algorithm for monitoring heart activity based on IoT and cloud technologies”. Muhammad al-Xorazmiy avlodlari. ISSN-2181-9211.1(31)/2025
  11. Seungjik Lee, Mamirov X.X, Usmonov J.T. IoT va cloud texnologiyalariga asoslangan issiqxona monitoringi va nazorati tizimi Science shine international scientific journal. Issue 8(43), Volume 1 | ISSN 3030-377X | 30.04.2025
  12. Mamirov X.X, Usmonov J.T. “Aqlli issiqxonalarda atrof-muhitni intellektual boshqarish uchun sensor-mikrokontroller integratsiyasini tahlil qilish va optimallashtirish” International scientific journal. “Interpretation and researches”. Volume 1 issue 6 (52) | ISSN: 2181-4163 | Impact Factor: 8.2
  13. Seungjik Lee. IoT practical training Science and innovation international scientific journal. volume 4 issue issn: 2181-3337 05.05.2025
  14. Musayev M.M, Ochilov M.M, Xolmatov O.A, Narzullayev O.O. Vektor fazo modeli hamda jumlalar o‘xshashligi o‘lchovlariga asoslangan savol − javob tizimi ishlab chiqish Raqamli transformatsiya va sun’iy intellekt ilmiy jurnali Volume 3, Issue 1, February 2025. -B. 23-30
  15. N. ZayniddinovA.N. Sharifbayev. Применение графовые нейронные сети и его модификации с обучения с подкреплением в системах рекомендаций. Muhammad al-Xorazmiy nomidagi TATU Farg‘ona filiali “Al-Farg‘oniy avlodlari” elektron ilmiy jurnali ISSN 2181-4252 Tom: 1 | Son: 3 | 05. 2024-yil B. 26-29
  16. Qobilov S.SH. Tillaboev A.A. Muminov E.N. 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. Qo‘chqorov M Algorithm for digital processing of seismic signals in distributed systems Bulletin of TUIT: Management and Communication Technologies. 2024 3(26)
  18. Qo‘chqorov, M Zaynidinov H.N., Qobilov 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; Jul 2024; 51-60 © TJPRC Pvt. Ltd.
  19. Qobilov Sirojiddin Sherqulovich, 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. Maxmudjanov Sarvar Ulugbekovich, Akbarov Navro‘z Jahongir o‘g‘li, Naimov Axadjon Tojimirza o‘g‘li, Qobilov Sirojiddin Sherqulovich. DNK tahlili jarayonida ota-ona va farzand kombinatsiyalarini aniqlash algoritimi. “Al-Farg‘oniy avlodlari” elektron ilmiy jurnali ISSN 2181-4252. Tom: 1. Son: 2. 2025-yil.
  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 № 4(37)2024.
  22. Zaynidinov H.N., Qobilov S.Sh. Splayn modellarning gidrogeologik ma’lumotlarni tiklashdagi ahamiyati va ularning samaradorligini baholash. Muhandislik va Iqtisodiyot jurnali. 2024-yil, noyabr. 4-son. (05.00.00. ОАК Rayosatining 2024-yil 28-avgustdagi 360/5-son qarori)
  23. Qobilov Sirojiddin Sherqulovich. Noteks tarmoq sigmentlarida berilgan gidrogeologik ma’lumotlarni tugun nuqtalarga bog‘liq bo‘lmagan splayn orqali sonli modellashtirish. “Development of science” ilmiy jurnali. 2025/5 VOLUME 3. B. 347-357. (05.00.00. OAK rayosatining 2025 yil 12 fevral 367- son qarori)
  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. Международный научный журнал. «Новости образования: исследование в XXI веке» № 26(100), часть 2. наябрь, 2024.
  25. Sabina Umirzakova, Shakhzod Javliev, Adkhambek Madaminov, Omadjon Urishev, Dilshoda Kurbonalieva, Ayhan Istanbullu Advanced modeling for fire risk evaluation and intelligent preventive system      Transactions on Computational Modeling and Intelligent Systems, 2, 10043. https://doi.org/10.65112/tcmis.10043            Xalqaro
  26. Muxiddinov M.N., Xakimov K.S. Kompyuter ko‘rishi va tabiiy tilni qayta ishlash yondashuvlari asosida vizual savol-javob (vqa) tizimi tahlili.          Raqamli iqtisodiyot sharoitida fan va ta’limni ishlab chiqarish bilan integratsiyasini rivojlantirishning ustuvor yo‘nalishlari, 19-20-dekabr, Toshkent            Xalqaro
  27. Muxiddinov M.N., Qurbonov J.Sh. Ko‘zi ojizlar uchun atrof-muhitdagi xavf va to‘siqlarni sun’iy intellekt asosida aniqlash modellarining tahlili         Raqamli iqtisodiyot sharoitida fan va ta’limni ishlab chiqarish bilan integratsiyasini rivojlantirishning ustuvor yo‘nalishlari, 19-20-dekabr, Toshkent            Xalqaro
  28. Yakubov M.S., Yuldashev R., Azimova U.A Информационные системы управления бизнес прцессами предприятии на основе CASE- технологий  Development of science Ilmiy jurnali 2025/12 VOLUME -2 soni 159-G173 betlar Mahalliy
  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     Xalqaro
  30. Nurmurodov J., Dadajonova Z.B Sun’iy intellekt asosida yer osti boyliklari konlarini aniqlash va tasniflash        Scientific-technical journal (STJ FerSTU, ФарДТУ ИТЖ, НТЖ ФерГТУ, 2025, Т.29.спец.выпуск №10) 2025 yil 24-25  sentabr, Toshkent,  132-134 betlar        Mahalliy
  31. Nurmurodov J., Dadajonova Z.B Sun’iy intellekt texnologiyalaridan foydalangan holda yer osti boyliklari joylashgan konlarni tasniflash      “Descendants of Al-Farghani” electronic scientific journal. ISSN 2181-4252. Vol: 1 | Iss: 2 | 2025 year Mahalliy
  32. Qobilov S. Sh Tugun nuqtalarga bog‘liq bo‘lmagan bikubik splayn modelining uzluksizligini baholash Scientific-technical journal (STJ FerSTU, ФарДТУ ИТЖ, НТЖ ФерГТУ, 2025, Т.29.спец. выпуск №8)   Mahalliy
  33. Qobilov S. Sh Evaluation Of The Continuity Of A No-Node Bicubic Spline Model Bulletin of TUIT: Management and Communication Technologies. № 3s(7)2025       Mahalliy
  34. Qobilov S. Sh., Abdunabiev A.B Design And Optimization Of An Intelligent Recommendation System Based On Data Engineering In The Media Ecosystem       Universal International Scientific Journal.  Issue: 2. Volume: 11 Published:  11.2025., pp-40–44. https://universaljurnal.uz/index.php/jurn al/article/view/3762         Xalqaro
  35. Qobilov S. Sh., Goibnazarov A.I., Umurzoqov Q.T Beyond Static Analysis: AI Techniques For Detecting Web Application Security Weaknesses Universal International Scientific Journal.  Issue: 2. Volume: 11 Published:  11.2025., pp-70–77. https://universaljurnal.uz/index.php/jurn al/article/view/3770   Xalqaro
  36. Qobilov S. Sh Analysis of local cubic splines and their application in medical signal processing Scientific-technical journal (STJ FerSTU, ФарДТУ ИТЖ, НТЖ ФерГТУ, 2025, Т.29.спец. выпуск №16) Mahalliy
  37. Qobilov S. Sh., Goibnazarov A.I., Umurzoqov Q.T The Role Of Rag In Transforming Legal Information Retrieval And Automated Legal Consultation Universal International Scientific Journal. Issue: 2. Volume: 11 Published:  11.2025., pp-78–85. https://universaljurnal.uz/index.php/jurn al/article/view/3771   Xalqaro
  38. Azimov B., Kuchkarov M., Sharifbaev A   Quantitative benchmarking of embedding architectures for biomedical retrieval-augmented generation  Raqamli transformatsiyalash jarayonida muhandislik sohalari va iqtisodiyot tarmoqlarini rivojlantirish: muammo va yechimlar Xalqaro ilmiy-amaliy anjumani. Ma’ruzalar to‘plami. i-qism          Xalqaro
  39. Kuchkarov M., Tillaboev A On a new approach to the creation of evristic           Raqamli transformatsiyalash jarayonida muhandislik sohalari va iqtisodiyot tarmoqlarini rivojlantirish: muammo va yechimlar Xalqaro ilmiy-amaliy anjumani. Ma’ruzalar to‘plami.1-qism           Xalqaro
  40. R Gofurjonov Восстановление геологических Сигналов с использованием Кубических базисных сплайнов  M U H A N D I S L I K VA I Q T I S O D I Y O T: Ijtimoiy-iqtisodiy, innovatsion texnik, fan va ta’limga oid ilmiy – amaliy jurnal. Milliy nashrlar: OAK: https//oak.uz/pages/4802. 2025-yil, avgust. № 8-son 204-209 betlar. Toshkent         Xalqaro
  41. R Gofurjonov, A.I.Burxanova Сравнительный анализ архитектур Диалоговых систем для медицинской Предметной области           SOCIAL, ECONOMIC, SCIENTIFIC, AND TECHNICAL ACADEMIC JOURNAL. Electronic publication, Issue 11.195 -  202 pages. Approved for publication on November, 2025. Xalqaro

 

Darslik va o‘quv qo‘llanmalar

  1. Maxkamov B.Sh., Zaynidinov X.N., Nurmurodov J.N. “Sun’iy intellekt asoslari”, Toshkent axborot texnologiyalari universiteti, Darslik – Tashkent, 2024- yil, 264 b
  2. Zaynidinov X.N.,Yusupov I., Nurmurodov J.N., Abdug‘aniyev M.M. “Sun’iy intellektda hisoblash agentlari”, Toshkent axborot texnologiyalari universiteti, O‘quv qo‘llanma – Tashkent, 2025, 253-b
  3. Zaynidinov X.N.,Qo‘chqarov M.A., Qobilov S.Sh. “Ma’lumotlarga intellektual ishlov berish”, Toshkent axborot texnologiyalari universiteti, O‘quv qo‘llanma – Tashkent, 2025, 120-b.
  4. Zaynidinov X.N., Mahmudjanov S.U., Azimova U.A “IoT texnologiyalari”, – Toshkent axborot texnologiyalari universiteti, Darslik, Tashkent, 2025- yil, 264 b
  5. Azimov B.R., Azimova U.A., Ma’mirov X.X., Sharifbayev A.N. “Buyunlar interneti” fanidan amaliy mashg‘ulotlarini bajarish bo‘yicha uslubiy ko‘rsatma – Toshkent axborot texnologiyalari universiteti, Tashkent, 2025- yil
  6. A.Qo‘chqarov, U.A.Azimova, S.Sh.Qobilov “Sun’iy intellekt” bakalavr yo‘nalishi talabalari uchun Individual loyihani bajarish bo‘yicha Uslubiy ko‘rsatma. – Toshkent: TATU. 2024.- 64 b.
  7. Зайнидинов Х.Н., Азимов Б.Р., Абдуғаниев М.М., Хурамов Л.Я., Гофуржoнов М.Р. Методическое указание для выполнения лабораторных работ по курсу “МЕХАНИЗМЫ Мехатронных модулей и роботов” – Ташкент 2025, 72 c.

GUVOHNOMA VA PATENTLAR

T/r

P/O‘ F.I.Sh. (mualliflar jamoasi)

Ish joyi va lavozimi, ilmiy darajasi

Ixtiro qilingan ish nomi

Patеnt № va sanasi

 

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kafеdrasi

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16.05.2025

 

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23.04.2025

 

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DGU 49530

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DGU 46029

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DGU 58539 05.01.2026

 

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So‘nggi yangilanish: 28.02.2026 12:25